labs.json

{
  "version": 1,
  "$schema": "./labs.schema.json",
  "meta": {
    "title": "Backblaze Labs",
    "homeTitle": "Backblaze Labs — Open Source Tools & Integrations for B2",
    "tagline": "Open source experiments, integrations, and tools built on Backblaze B2.",
    "description": "Curated open source projects built on Backblaze B2 — SDKs, agent skills, IDE extensions, reference pipelines, and community integrations.",
    "github": "https://github.com/backblaze-labs",
    "homepage": "https://www.backblaze.com",
    "b2": "https://www.backblaze.com/cloud-storage"
  },
  "categories": [
    {
      "id": "ai-ml",
      "label": "AI / ML",
      "icon": "sparkle"
    },
    {
      "id": "data-pipelines",
      "label": "Data Pipelines",
      "icon": "flow"
    },
    {
      "id": "developer-tools",
      "label": "Developer Tools",
      "icon": "wrench"
    },
    {
      "id": "notebooks",
      "label": "Notebooks",
      "icon": "notebook"
    },
    {
      "id": "ide-extensions",
      "label": "IDE Extensions",
      "icon": "code"
    },
    {
      "id": "agent-skills",
      "label": "Agent Skills",
      "icon": "bot"
    },
    {
      "id": "awesome-lists",
      "label": "Awesome Lists",
      "icon": "star"
    },
    {
      "id": "infra",
      "label": "Infrastructure",
      "icon": "server"
    },
    {
      "id": "community",
      "label": "Community",
      "icon": "users"
    }
  ],
  "types": [
    {
      "id": "sdk",
      "label": "SDK"
    },
    {
      "id": "tool",
      "label": "Tool"
    },
    {
      "id": "extension",
      "label": "Extension"
    },
    {
      "id": "skill",
      "label": "Skill"
    },
    {
      "id": "sample",
      "label": "Sample"
    },
    {
      "id": "list",
      "label": "Awesome List"
    },
    {
      "id": "integration",
      "label": "Integration"
    }
  ],
  "languages": [
    {
      "id": "python",
      "label": "Python"
    },
    {
      "id": "typescript",
      "label": "TypeScript"
    },
    {
      "id": "javascript",
      "label": "JavaScript"
    },
    {
      "id": "markdown",
      "label": "Markdown"
    }
  ],
  "integrations": [
    {
      "id": "mlflow",
      "title": "MLflow",
      "tagline": "Backblaze B2 as the MLflow artifact store.",
      "description": "MLflow's tracking server supports Backblaze B2 directly via the S3-compatible API. Configure `MLFLOW_S3_ENDPOINT_URL` and your B2 credentials, and your runs, models, and artifacts persist to B2 — no extra plugin, fully documented upstream.",
      "categories": ["ai-ml", "data-pipelines", "infra", "community"],
      "type": "integration",
      "tags": ["mlflow", "mlops", "artifact-store", "tracking", "s3-compatible"],
      "repo": "mlflow/mlflow",
      "source": "MLflow",
      "url": "https://mlflow.org/docs/latest/self-hosting/architecture/artifact-store/#backblaze-b2",
      "site": "https://mlflow.org/",
      "docs": "https://mlflow.org/docs/latest/",
      "icon": "flow",
      "featured": true,
      "languages": ["python", "typescript", "javascript"]
    },
    {
      "id": "cvat",
      "title": "CVAT",
      "tagline": "Backblaze B2 as a cloud storage backend for CVAT.",
      "description": "CVAT — the open source computer vision annotation tool — supports Backblaze B2 as an S3-compatible cloud storage. Attach B2 buckets to your projects to store annotation source data and exported results without paying egress fees.",
      "categories": ["ai-ml", "data-pipelines", "community"],
      "type": "integration",
      "tags": ["cvat", "annotation", "computer-vision", "data-labeling", "s3-compatible"],
      "repo": "cvat-ai/cvat",
      "source": "CVAT",
      "url": "https://docs.cvat.ai/docs/workspace/cloud-storages/",
      "site": "https://www.cvat.ai/",
      "docs": "https://docs.cvat.ai/",
      "demo": "https://app.cvat.ai/",
      "preview": "https://cdn.prod.website-files.com/62bebfb83044de7f13ae257e/685e448d192137f9375afc38_Use%20Case%202K-H265%20Low-Hevc-3-transcode.mp4",
      "icon": "flow",
      "featured": true,
      "languages": ["python", "typescript", "javascript"]
    },
    {
      "id": "genblaze",
      "title": "Genblaze",
      "tagline": "Generative AI media pipelines, with provenance.",
      "description": "Open source Python SDK that orchestrates generative AI media pipelines across video, audio, and image providers — with built-in provenance for every output, persisted to Backblaze B2.",
      "categories": ["ai-ml", "data-pipelines"],
      "type": "sdk",
      "tags": ["python", "sdk", "ai", "video", "audio", "image", "openai", "gemini"],
      "repo": "backblaze-labs/genblaze",
      "url": "https://github.com/backblaze-labs/genblaze",
      "icon": "flame",
      "featured": true,
      "languages": ["python"]
    },
    {
      "id": "claude-skill-b2",
      "title": "B2 Cloud Storage Skill",
      "tagline": "Manage B2 from Claude in natural language.",
      "description": "Claude Skill for Backblaze B2 Cloud Storage management from the terminal. Manage buckets, list and search files, audit storage usage, detect stale or large objects, review security posture, and safely clean up data using natural language.",
      "categories": ["agent-skills", "developer-tools"],
      "type": "skill",
      "tags": ["claude", "agent-skill", "cli", "natural-language"],
      "repo": "backblaze-labs/claude-skill-b2-cloud-storage",
      "url": "https://github.com/backblaze-labs/claude-skill-b2-cloud-storage",
      "icon": "bot",
      "featured": true,
      "languages": ["python"]
    },
    {
      "id": "hf-cache-sync",
      "title": "HF Cache Sync",
      "tagline": "Shared Hugging Face cache for teams.",
      "description": "Sync local Hugging Face cache to Backblaze B2 or S3, eliminate repeated downloads, and enable fast, consistent model access across machines and CI runners.",
      "categories": ["ai-ml", "infra"],
      "type": "tool",
      "tags": ["python", "huggingface", "mlops", "cache", "ci"],
      "repo": "backblaze-labs/hf-cache-sync",
      "url": "https://github.com/backblaze-labs/hf-cache-sync",
      "icon": "server",
      "featured": false,
      "languages": ["python"]
    },
    {
      "id": "jupyter-b2",
      "title": "jupyter-b2",
      "tagline": "%b2 magic and fsspec backend for Jupyter.",
      "description": "Jupyter/IPython magic commands and fsspec backend for Backblaze B2. Load datasets, save models, and manage cloud storage — all from your notebook with simple %b2 commands. No boilerplate, no SDK ceremony.",
      "categories": ["notebooks", "ai-ml"],
      "type": "tool",
      "tags": ["python", "jupyter", "ipython", "fsspec", "magic"],
      "repo": "backblaze-labs/jupyter-b2",
      "url": "https://pypi.org/project/jupyter-b2/",
      "icon": "notebook",
      "languages": ["python"]
    },
    {
      "id": "jupyterlab-b2",
      "title": "jupyterlab-b2",
      "tagline": "Native B2 file browser inside JupyterLab.",
      "description": "JupyterLab extension that registers Backblaze B2 as a native drive — same look, same breadcrumbs, drag-and-drop upload, click-to-open, and full bucket management from the sidebar.",
      "categories": ["notebooks", "developer-tools"],
      "type": "extension",
      "tags": ["typescript", "jupyterlab", "extension", "file-browser"],
      "repo": "backblaze-labs/jupyterlab-b2",
      "url": "https://pypi.org/project/jupyterlab-b2/",
      "icon": "notebook",
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "b2-vscode",
      "title": "B2 for VS Code",
      "tagline": "Browse and manage B2 inside your editor.",
      "description": "Bucket explorer, auto-detected credentials, file open/download/rename/delete, Copilot tools for B2 operations, and SARIF-compatible structured logging for CI/CD — all without leaving VS Code.",
      "categories": ["ide-extensions", "developer-tools"],
      "type": "extension",
      "tags": ["typescript", "vscode", "extension", "copilot"],
      "repo": "backblaze-labs/b2-vscode",
      "url": "https://github.com/backblaze-labs/b2-vscode",
      "icon": "code",
      "languages": ["typescript", "javascript"]
    },
    {
      "id": "genblaze-gmicloud",
      "title": "Genblaze × GMICloud",
      "tagline": "Image-to-video pipeline in ~100 lines.",
      "description": "Sample app that composes GMICloud image and video models with Genblaze and persists every artifact to B2 with a SHA-256-verified manifest. One prompt becomes an anchor image, then fans out concurrently to three video models.",
      "categories": ["ai-ml", "data-pipelines"],
      "type": "sample",
      "tags": ["python", "genblaze", "gmicloud", "video", "image-to-video"],
      "repo": "backblaze-labs/genblaze-gmicloud-pipeline",
      "url": "https://github.com/backblaze-labs/genblaze-gmicloud-pipeline",
      "icon": "flow",
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "nemotron-genblaze-b2",
      "title": "NVIDIA Nemotron × Genblaze",
      "tagline": "Reference pipeline with Nemotron + B2.",
      "description": "Reference pipeline showing how to use NVIDIA Nemotron models with Genblaze and persist artifacts to Backblaze B2.",
      "categories": ["ai-ml", "data-pipelines"],
      "type": "sample",
      "tags": ["python", "nvidia", "nemotron", "genblaze"],
      "repo": "backblaze-labs/nvidia-nemotron-genblaze-b2",
      "url": "https://github.com/backblaze-labs/nvidia-nemotron-genblaze-b2",
      "icon": "flow",
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "awesome-agent-infrastructure",
      "title": "Awesome Agent Infrastructure",
      "tagline": "Memory, sandboxes, MCP, and more.",
      "description": "A curated list of AI agent infrastructure: memory stores, vector databases, execution sandboxes, MCP servers, tool registries, observability, and evaluation tools for building and running autonomous agents.",
      "categories": ["awesome-lists", "ai-ml"],
      "type": "list",
      "tags": ["agents", "mcp", "vector-db", "sandbox", "memory"],
      "repo": "backblaze-labs/awesome-agent-infrastructure",
      "url": "https://github.com/backblaze-labs/awesome-agent-infrastructure",
      "icon": "star",
      "languages": ["markdown"]
    },
    {
      "id": "awesome-ml-data-pipelines",
      "title": "Awesome ML Data Pipelines",
      "tagline": "Versioning, labeling, feature stores.",
      "description": "A curated list of ML data pipeline tools: dataset versioning, labeling, feature stores, workflow orchestration, data loaders, and storage infrastructure for training and inference.",
      "categories": ["awesome-lists", "data-pipelines"],
      "type": "list",
      "tags": ["mlops", "feature-store", "labeling", "versioning"],
      "repo": "backblaze-labs/awesome-ml-data-pipelines",
      "url": "https://github.com/backblaze-labs/awesome-ml-data-pipelines",
      "icon": "star",
      "languages": ["markdown"]
    },
    {
      "id": "awesome-multimodal-data",
      "title": "Awesome Multimodal Data",
      "tagline": "Video, image, audio, 3D, robotics.",
      "description": "A curated list of multimodal AI datasets and data infrastructure: video, image, audio, 3D, and robotics data, with formats, loaders, versioning, and labeling tools for large-scale training.",
      "categories": ["awesome-lists", "ai-ml"],
      "type": "list",
      "tags": ["datasets", "multimodal", "video", "audio", "3d"],
      "repo": "backblaze-labs/awesome-multimodal-data",
      "url": "https://github.com/backblaze-labs/awesome-multimodal-data",
      "icon": "star",
      "languages": ["markdown"]
    },
    {
      "id": "awesome-image-generation",
      "title": "Awesome Image Generation",
      "tagline": "Text-to-image APIs, SDKs, and tools.",
      "description": "A curated list of AI image generation APIs, SDKs, and tools including text-to-image, image editing, diffusion models, generative art systems, and multimodal AI platforms.",
      "categories": ["awesome-lists", "ai-ml"],
      "type": "list",
      "tags": ["image", "diffusion", "generative-ai", "text-to-image"],
      "repo": "backblaze-labs/awesome-image-generation",
      "url": "https://github.com/backblaze-labs/awesome-image-generation",
      "icon": "star",
      "languages": ["markdown"]
    },
    {
      "id": "awesome-video-generation",
      "title": "Awesome Video Generation",
      "tagline": "Text-to-video, editing, multimodal.",
      "description": "A curated list of AI video generation APIs, SDKs, and tools including text-to-video, video editing, multimodal generation, diffusion models, and generative AI platforms.",
      "categories": ["awesome-lists", "ai-ml"],
      "type": "list",
      "tags": ["video", "text-to-video", "diffusion", "generative-ai"],
      "repo": "backblaze-labs/awesome-video-generation",
      "url": "https://github.com/backblaze-labs/awesome-video-generation",
      "icon": "star",
      "languages": ["markdown"]
    },
    {
      "id": "awesome-audio-generation",
      "title": "Awesome Audio Generation",
      "tagline": "TTS, speech synthesis, music, voice cloning.",
      "description": "A curated list of AI audio generation APIs, SDKs, and tools including text-to-speech, speech synthesis, music generation, voice cloning, sound design, and generative AI platforms.",
      "categories": ["awesome-lists", "ai-ml"],
      "type": "list",
      "tags": ["audio", "tts", "voice", "music", "generative-ai"],
      "repo": "backblaze-labs/awesome-audio-generation",
      "url": "https://github.com/backblaze-labs/awesome-audio-generation",
      "icon": "star",
      "languages": ["markdown"]
    },
    {
      "id": "awesome-physical-ai",
      "title": "Awesome Physical AI",
      "tagline": "Robotics, world models, sim-to-real.",
      "description": "A curated list of physical AI tools: robotics foundation models, world models, simulators, teleoperation, sim-to-real, and embodied AI datasets for robot learning and autonomous systems.",
      "categories": ["awesome-lists", "ai-ml"],
      "type": "list",
      "tags": ["robotics", "world-models", "sim2real", "embodied-ai"],
      "repo": "backblaze-labs/awesome-physical-ai",
      "url": "https://github.com/backblaze-labs/awesome-physical-ai",
      "icon": "star",
      "languages": ["markdown"]
    },
    {
      "id": "comfyui-cloud-storage",
      "title": "ComfyUI Cloud Storage",
      "tagline": "ComfyUI cloud storage nodes with Backblaze B2 and S3-compatible support.",
      "description": "ComfyUI cloud storage nodes with Backblaze B2 and S3-compatible support. Upload images, video, and audio, and manage AI models across machines with a unified workflow.",
      "categories": ["ai-ml", "developer-tools"],
      "type": "tool",
      "tags": ["comfyui", "comfyui-custom-node", "generative-ai", "cloudstorage", "s3-compatible"],
      "repo": "backblaze-labs/comfyui-cloud-storage",
      "url": "https://github.com/backblaze-labs/comfyui-cloud-storage",
      "icon": "sparkle",
      "featured": false,
      "languages": ["python"]
    },
    {
      "id": "vibe-coding-starter-kit",
      "title": "Vibe Coding Starter Kit",
      "tagline": "Starter kit for vibe coders building apps with file uploads and object storage.",
      "description": "Starter kit for vibe coders building apps with file uploads and object storage. This full-stack dashboard template integrates with Backblaze B2 Cloud Storage and includes secure upload flows, file browsing, and basic storage management.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "cloudstorage",
        "file-storage",
        "starter-kit",
        "starterkit",
        "vibe-coding",
        "vibecoding"
      ],
      "repo": "backblaze-b2-samples/vibe-coding-starter-kit",
      "url": "https://github.com/backblaze-b2-samples/vibe-coding-starter-kit",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "agentic-rag-vector-starter-kit",
      "title": "Agentic RAG Starter Kit",
      "tagline": "Agentic RAG starter kit with Langchain, LanceDB, and Backblaze B2.",
      "description": "Agentic RAG vector starter kit with AI coding agent architecture, Langchain, LanceDB, and Backblaze B2 for document upload, semantic search, grounded chat, and document citations.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "agentic-ai",
        "agentic-coding",
        "agentic-framework",
        "agentic-rag",
        "agentic-workflow",
        "backblaze-b2"
      ],
      "repo": "backblaze-b2-samples/agentic-rag-vector-starter-kit",
      "url": "https://github.com/backblaze-b2-samples/agentic-rag-vector-starter-kit",
      "icon": "wrench",
      "featured": false,
      "languages": ["python", "typescript", "javascript"]
    },
    {
      "id": "zeroshot-image-classifier",
      "title": "Zero-shot Image Classifier",
      "tagline": "Browser image classification with OpenAI CLIP and Transformers.js.",
      "description": "Browser-based image classification example application using OpenAI CLIP and Transformers.js. Upload images, run zero-shot classification with custom labels directly in the browser, and store images plus results in S3-compatible Backblaze B2 cloud object storage using pre-signed uploads.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "image-classification",
        "image-classification-algorithms",
        "image-classification-model",
        "image-classification-tutorial",
        "image-classifier",
        "image-processing"
      ],
      "repo": "backblaze-b2-samples/b2-zeroshot-image-classifier",
      "url": "https://github.com/backblaze-b2-samples/b2-zeroshot-image-classifier",
      "icon": "wrench",
      "featured": false,
      "languages": ["javascript"]
    },
    {
      "id": "whisper-transformersjs-transcriber",
      "title": "Whisper Transcriber",
      "tagline": "Browser-based audio transcription with Whisper and Transformers.js.",
      "description": "Browser-based audio transcription using Whisper and Transformers.js, storing results in Backblaze B2 Cloud Storage.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "cloud-storage",
        "cloudstorage",
        "transcription",
        "transformers-js",
        "transformersjs",
        "voice-transcription"
      ],
      "repo": "backblaze-b2-samples/b2-whisper-transformersjs-transcriber",
      "url": "https://github.com/backblaze-b2-samples/b2-whisper-transformersjs-transcriber",
      "icon": "wrench",
      "featured": false,
      "languages": ["javascript"]
    },
    {
      "id": "transformers-video-object-detection",
      "title": "Video Object Detection",
      "tagline": "Real-time browser video object detection with Transformers.js + YOLOv9.",
      "description": "Real-time video object detection monitoring demo using Transformers.js and Backblaze B2 Cloud Storage. Runs YOLOv9 fully in the browser with automatic capture intervals, no server or GPU required. Detected snapshots and metadata are stored in low cost, scalable B2 storage for analysis and retention.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "cloud-storage",
        "cloudstorage",
        "object-detection",
        "transformers-js",
        "transformersjs",
        "video-object-detection"
      ],
      "repo": "backblaze-b2-samples/b2-transformers-video-object-detection",
      "url": "https://github.com/backblaze-b2-samples/b2-transformers-video-object-detection",
      "icon": "wrench",
      "featured": false,
      "languages": ["javascript"]
    },
    {
      "id": "transformerjs-background-removal",
      "title": "Background Removal",
      "tagline": "Browser AI image background removal with Transformers.js and RMBG-1.4.",
      "description": "Browser-based AI image background removal app using Transformers.js and the RMBG-1.4 model, storing original and cutout images in Backblaze B2 Cloud Storage — no GPU or backend required.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "background-removal",
        "cloud-storage",
        "cloudstorage",
        "image-processing",
        "transformers-js",
        "transformersjs"
      ],
      "repo": "backblaze-b2-samples/b2-transformerjs-background-removal",
      "url": "https://github.com/backblaze-b2-samples/b2-transformerjs-background-removal",
      "icon": "wrench",
      "featured": false,
      "languages": ["javascript"]
    },
    {
      "id": "openclaw-b2-sync-backup",
      "title": "Openclaw B2 Sync Backup",
      "tagline": "OpenClaw automatic backup and sync to Backblaze B2.",
      "description": "OpenClaw automatic backup and sync to Backblaze B2. Keep state durable across machines, restore instantly on new hardware, and roll back to previous snapshots if configs break or memory becomes corrupted.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "backup",
        "openclaw",
        "openclaw-extension",
        "openclaw-plugin",
        "openclaw-setup",
        "openclaw-skill"
      ],
      "repo": "backblaze-b2-samples/openclaw-b2-sync-backup",
      "url": "https://github.com/backblaze-b2-samples/openclaw-b2-sync-backup",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript"]
    },
    {
      "id": "image-generation-prompt-flow",
      "title": "Image Generation Prompt Flow",
      "tagline": "Compare GPT Image, DALL-E, Gemini, and Google Imagen prompts side by side.",
      "description": "AI image generation prompt flow example app focused on prompt engineering and prompt optimization, comparing models GPT Image, DALL-E, Gemini Nano Banana, and Google Imagen. Shows how image prompts are structured, refined, and evolved from input to final output, with clear prompt lineage for learning and experimentation.",
      "categories": ["ai-ml"],
      "type": "sample",
      "tags": [
        "generative-ai",
        "google-gemini",
        "image-generation",
        "nano-banana",
        "nanobanana",
        "nanobanana-api"
      ],
      "repo": "backblaze-b2-samples/image-generation-prompt-flow",
      "url": "https://github.com/backblaze-b2-samples/image-generation-prompt-flow",
      "icon": "sparkle",
      "featured": false,
      "languages": ["typescript", "javascript"]
    },
    {
      "id": "pixeltable-multimodal-data",
      "title": "Pixeltable Multimodal Data",
      "tagline": "Notebooks for managing multimodal datasets with Pixeltable and Backblaze B2.",
      "description": "Example notebooks showing how to use Pixeltable with Backblaze B2 for managing and querying multimodal datasets.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "data-orchestration",
        "data-processing",
        "multimodal",
        "pixeltable",
        "cloud-storage",
        "cloudstorage"
      ],
      "repo": "backblaze-b2-samples/b2-pixeltable-multimodal-data",
      "url": "https://github.com/backblaze-b2-samples/b2-pixeltable-multimodal-data",
      "icon": "wrench",
      "featured": false,
      "languages": ["markdown"]
    },
    {
      "id": "meltano",
      "title": "Meltano",
      "tagline": "Backblaze B2 as a state backend for Meltano data pipelines.",
      "description": "Meltano supports Backblaze B2 as a state backend via its S3-compatible API. Configure `state_backend.uri` with your B2 bucket and credentials and your pipeline state persists to B2 between runs — no extra plugin, fully documented upstream.",
      "categories": ["ai-ml", "community"],
      "type": "integration",
      "tags": ["meltano", "s3-compatible"],
      "repo": null,
      "source": "Meltano",
      "url": "https://docs.meltano.com/concepts/state_backends/#backblaze-b2-example",
      "icon": "flow",
      "featured": false,
      "languages": ["python"]
    },
    {
      "id": "pixeltable",
      "title": "Pixeltable",
      "tagline": "Backblaze B2 as S3-compatible storage for Pixeltable's table stores.",
      "description": "Pixeltable is a declarative table-based system for multimodal AI data. Configure your B2 endpoint and credentials and Pixeltable persists tables, media, and computed columns to B2 — same path as the S3 / GCS / R2 backends.",
      "categories": ["ai-ml", "community"],
      "type": "integration",
      "tags": ["pixeltable", "pixel-table", "s3-compatible"],
      "repo": null,
      "source": "Pixel Table",
      "url": "https://docs.pixeltable.com/integrations/cloud-storage#backblaze-b2",
      "icon": "flow",
      "featured": false,
      "languages": ["python"]
    },
    {
      "id": "b2-action",
      "title": "B2 Action",
      "tagline": "The Backblaze B2 GitHub Action",
      "description": "The Backblaze B2 GitHub Action",
      "categories": ["developer-tools"],
      "type": "tool",
      "tags": ["b2", "github-actions"],
      "repo": "backblaze-labs/b2-action",
      "url": "https://github.com/backblaze-labs/b2-action",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "javascript"]
    },
    {
      "id": "firewatch-agent",
      "title": "Firewatch Agent",
      "tagline": "FireWatch is an AI-powered wildfire detection and alerting pipeline using…",
      "description": "FireWatch is an AI-powered wildfire detection and alerting pipeline using OpenClaw, Nemotron, and Backblaze B2 to process satellite hotspot data, live weather, and explainable risk scores for faster wildfire response.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": ["nemoclaw", "openclaw"],
      "repo": "backblaze-b2-samples/firewatch-agent",
      "url": "https://github.com/backblaze-b2-samples/firewatch-agent",
      "icon": "wrench",
      "featured": false,
      "languages": ["python"]
    },
    {
      "id": "voice-memo-ai-second-brain",
      "title": "Voice Memo Ai Second Brain",
      "tagline": "Personal voice-memo second brain on Backblaze B2 — record, transcribe, tag,…",
      "description": "Personal voice-memo second brain on Backblaze B2 — record, transcribe, tag, cross-reference, and summarize. FastAPI + Next.js reference app, no database, B2 is the source of truth.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "openai",
        "openai-api",
        "voice",
        "voice-recognition"
      ],
      "repo": "backblaze-b2-samples/voice-memo-ai-second-brain",
      "url": "https://github.com/backblaze-b2-samples/voice-memo-ai-second-brain",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "arxiv-insight-briefs-nvidia-nemotron",
      "title": "Arxiv Insight Briefs Nvidia Nemotron",
      "tagline": "arXiv research briefing pipeline that routes natural language queries to…",
      "description": "arXiv research briefing pipeline that routes natural language queries to relevant papers, caches PDFs in Backblaze B2, extracts key sections with PyMuPDF, and generates citation-backed insight briefs using NVIDIA Nemotron.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": ["arxiv", "arxiv-api", "arxiv-papers", "cloudstorage", "data-processing", "insights"],
      "repo": "backblaze-b2-samples/arxiv-insight-briefs-nvidia-nemotron",
      "url": "https://github.com/backblaze-b2-samples/arxiv-insight-briefs-nvidia-nemotron",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "video-to-insights-nvidia-parakeet-llama",
      "title": "Video To Insights Nvidia Parakeet Llama",
      "tagline": "AI-powered video analysis pipeline that downloads YouTube videos, stores…",
      "description": "AI-powered video analysis pipeline that downloads YouTube videos, stores durable artifacts in Backblaze B2, transcribes audio with NVIDIA Parakeet, generates timestamped insights with Llama 3.3, and serves interactive seekable video playback.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "nvidia-parakeet",
        "parakeet",
        "videoanalysis",
        "youtube"
      ],
      "repo": "backblaze-b2-samples/video-to-insights-nvidia-parakeet-llama",
      "url": "https://github.com/backblaze-b2-samples/video-to-insights-nvidia-parakeet-llama",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "gpt-realtime-whisper-live-transcript-redactor",
      "title": "Gpt Realtime Whisper Live Transcript Redactor",
      "tagline": "Live mic-to-text transcription with inline PII, secrets, and glossary…",
      "description": "Live mic-to-text transcription with inline PII, secrets, and glossary redaction on Backblaze B2 — stream audio through OpenAI Realtime + Whisper, redact in flight, and persist a privacy-default session bundle. FastAPI + Next.js B2 sample app.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": ["backblaze-b2", "cloudstorage", "fastapi", "nextjs", "object-storage", "openai"],
      "repo": "backblaze-b2-samples/gpt-realtime-whisper-live-transcript-redactor",
      "url": "https://github.com/backblaze-b2-samples/gpt-realtime-whisper-live-transcript-redactor",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "ai-music-studio",
      "title": "Ai Music Studio",
      "tagline": "AI music generator where every regenerate, remix & branch is a node in a…",
      "description": "AI music generator where every regenerate, remix & branch is a node in a revision tree — durable on Backblaze B2. FastAPI + Next.js B2 sample app.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "ai-music",
        "fastapi",
        "music-generation",
        "nextjs",
        "object-storage",
        "revision-history"
      ],
      "repo": "backblaze-b2-samples/ai-music-studio",
      "url": "https://github.com/backblaze-b2-samples/ai-music-studio",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "ai-meeting-notes",
      "title": "Ai Meeting Notes",
      "tagline": "AI meeting notes on Backblaze B2 — record or upload meetings, transcribe with…",
      "description": "AI meeting notes on Backblaze B2 — record or upload meetings, transcribe with speaker diarization, and auto-generate summaries, decisions, and action items. FastAPI + Next.js B2 sample app, searchable across every past meeting.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "action-items",
        "ai-meeting-notes",
        "backblaze-b2",
        "cloudstorage",
        "fastapi",
        "meeting-notes"
      ],
      "repo": "backblaze-b2-samples/ai-meeting-notes",
      "url": "https://github.com/backblaze-b2-samples/ai-meeting-notes",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "sdk-typescript",
      "title": "TypeScript SDK",
      "tagline": "Backblaze-maintained TypeScript & JavaScript SDK for B2 Cloud Storage.",
      "description": "Backblaze-maintained TypeScript and JavaScript SDK for B2 Cloud Storage, currently incubating in Backblaze-Labs",
      "categories": ["developer-tools"],
      "type": "sdk",
      "tags": ["b2", "javascript", "sdk", "sdk-js", "typescript"],
      "repo": "backblaze-labs/b2-sdk-typescript",
      "url": "https://github.com/backblaze-labs/b2-sdk-typescript",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "javascript"]
    },
    {
      "id": "ai-headshot-studio",
      "title": "AI Headshot Studio",
      "tagline": "Fine-tune a likeness LoRA from selfies and render headshots, stored on B2.",
      "description": "AI headshot generator that fine-tunes a likeness LoRA from your selfies and renders professional headshots across style packs. Every artifact — selfies, captions, the trained model, and generated images — lives on Backblaze B2 (S3-compatible). Next.js + FastAPI sample with a real face-data privacy lifecycle.",
      "categories": ["ai-ml"],
      "type": "sample",
      "tags": [
        "ai-headshots",
        "backblaze-b2",
        "cloudstorage",
        "diffusers",
        "fastapi",
        "generative-ai"
      ],
      "repo": "backblaze-b2-samples/ai-headshot-studio",
      "url": "https://github.com/backblaze-b2-samples/ai-headshot-studio",
      "icon": "sparkle",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "comic-storyboard-b2",
      "title": "Comic Storyboard",
      "tagline": "Turn one idea into a character-consistent multi-panel comic, stored on B2.",
      "description": "Turn a one-sentence idea into a character-consistent multi-panel comic, with every AI-generated frame persisted to Backblaze B2 storage and a SHA-256 provenance manifest. A Genblaze sample app: Next.js + FastAPI, FLUX and Replicate image gen, zero direct S3 code.",
      "categories": ["ai-ml"],
      "type": "sample",
      "tags": [
        "ai-image-generation",
        "anthropic",
        "backblaze-b2",
        "cloudstorage",
        "comic-generator",
        "fastapi"
      ],
      "repo": "backblaze-b2-samples/comic-storyboard-b2",
      "url": "https://github.com/backblaze-b2-samples/comic-storyboard-b2",
      "icon": "sparkle",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "personal-video-ai-search",
      "title": "Personal Video AI Search",
      "tagline": "AI-powered semantic search over your personal video archive on Backblaze B2.",
      "description": "AI-powered semantic search over your personal video archive on Backblaze B2. Indexes every clip on three signals — Whisper transcripts, multimodal scene captions, and locally clustered faces — then answers natural-language queries with playable clips. No database: the search and face indexes are JSON in the bucket.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "face-recognition",
        "fastapi",
        "multimodal-ai",
        "nextjs"
      ],
      "repo": "backblaze-b2-samples/personal-video-ai-search",
      "url": "https://github.com/backblaze-b2-samples/personal-video-ai-search",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "ai-sticker-pack-generator",
      "title": "AI Sticker Pack Generator",
      "tagline": "Turn one prompt into a consistent transparent sticker pack, stored on B2.",
      "description": "AI sticker pack generator: turn one text prompt into a consistent pack of transparent die-cut stickers with OpenAI gpt-image-1, store every image in Backblaze B2 object storage (no database), and export to Telegram, WhatsApp, Discord, and iMessage.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "ai-image-generation",
        "backblaze-b2",
        "cloudstorage",
        "fastapi",
        "gpt-image-1",
        "nextjs"
      ],
      "repo": "backblaze-b2-samples/ai-sticker-pack-generator",
      "url": "https://github.com/backblaze-b2-samples/ai-sticker-pack-generator",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "lora-training-studio",
      "title": "LoRA Training Studio",
      "tagline": "Browser-based LoRA fine-tuning for Stable Diffusion, versioned on B2.",
      "description": "Browser-based LoRA fine-tuning studio for Stable Diffusion: upload images, caption, train, and download the .safetensors — every artifact (dataset, captions, checkpoints, samples, LoRA) versioned on Backblaze B2.",
      "categories": ["ai-ml"],
      "type": "sample",
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "diffusers",
        "diffusion-models",
        "fastapi",
        "fine-tuning"
      ],
      "repo": "backblaze-b2-samples/lora-training-studio",
      "url": "https://github.com/backblaze-b2-samples/lora-training-studio",
      "icon": "sparkle",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "video-semantic-search",
      "title": "Video Semantic Search",
      "tagline": "Chat with your video: timestamped answers from transcripts, all on B2.",
      "description": "Chat with your video: a full-stack TypeScript + Python sample app that transcribes long-form video with Whisper, embeds it, and returns the exact timestamped moments that answer a natural-language question. Backblaze B2 is the sole data store — source, audio, transcript, and vector index — with no separate database.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": ["backblaze-b2", "cloudstorage", "embeddings", "fastapi", "nextjs", "rag"],
      "repo": "backblaze-b2-samples/video-semantic-search",
      "url": "https://github.com/backblaze-b2-samples/video-semantic-search",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "docs-to-podcast",
      "title": "Docs to Podcast",
      "tagline": "Turn PDFs and docs into a two-host AI audio overview, stored on B2.",
      "description": "NotebookLM-style podcast generator built on Backblaze B2: turn PDFs and docs into a two-host AI audio overview with OpenAI script generation and TTS, storing sources, transcripts, and episode audio in B2 cloud storage via the S3-compatible API.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": ["ai-audio", "audio-overview", "backblaze-b2", "cloudstorage", "fastapi", "nextjs"],
      "repo": "backblaze-b2-samples/docs-to-podcast",
      "url": "https://github.com/backblaze-b2-samples/docs-to-podcast",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "ai-avatar-video-generator",
      "title": "AI Avatar Video Generator",
      "tagline": "Turn a script and avatar into a talking-head video, stored on B2.",
      "description": "Open-source AI avatar video generator: turn a script + avatar into a talking-head video with synced voice. Next.js + FastAPI demo using Backblaze B2 as the sole datastore — no database.",
      "categories": ["ai-ml"],
      "type": "sample",
      "tags": ["ai-avatar", "backblaze-b2", "cloudstorage", "d-id", "fastapi", "heygen"],
      "repo": "backblaze-b2-samples/ai-avatar-video-generator",
      "url": "https://github.com/backblaze-b2-samples/ai-avatar-video-generator",
      "icon": "sparkle",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "ai-audiobook-generator",
      "title": "AI Audiobook Generator",
      "tagline": "Convert any manuscript into a chapterized audiobook, stored on B2.",
      "description": "Sample app: convert any manuscript into a chapterized audiobook using OpenAI or ElevenLabs TTS, with per-chapter MP3s and an M4B master stored in Backblaze B2 object storage — no database, just a JSON manifest per book",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": ["audiobook", "backblaze-b2", "cloudstorage", "elevenlabs", "fastapi", "ffmpeg"],
      "repo": "backblaze-b2-samples/ai-audiobook-generator",
      "url": "https://github.com/backblaze-b2-samples/ai-audiobook-generator",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "gpt-realtime-2-customer-support-voice-agent",
      "title": "Customer Support Voice Agent",
      "tagline": "Browser-based support voice agent on gpt-realtime-2, calls archived to B2.",
      "description": "Browser-based customer-support voice agent on OpenAI gpt-realtime-2 — full-duplex WebRTC voice, mock CRM/helpdesk tool calling, with every call archived to Backblaze B2 (WAV audio, transcript, tool trace, summary, manifest). FastAPI + Next.js B2 sample app.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "customer-support",
        "fastapi",
        "nextjs",
        "object-storage"
      ],
      "repo": "backblaze-b2-samples/gpt-realtime-2-customer-support-voice-agent",
      "url": "https://github.com/backblaze-b2-samples/gpt-realtime-2-customer-support-voice-agent",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "gpt-realtime-translate-live-event-interpreter",
      "title": "Live Event Interpreter",
      "tagline": "Real-time multilingual interpreter for live events, archived to B2.",
      "description": "Real-time multilingual interpreter for live events on OpenAI gpt-realtime-translate — one speaker, attendees get translated audio + live captions, every event archived to Backblaze B2 (source audio, transcripts, VTT/SRT). FastAPI + Next.js B2 sample app.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "fastapi",
        "gpt-realtime",
        "live-captions",
        "nextjs"
      ],
      "repo": "backblaze-b2-samples/gpt-realtime-translate-live-event-interpreter",
      "url": "https://github.com/backblaze-b2-samples/gpt-realtime-translate-live-event-interpreter",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "genblaze-gen-media-multi-provider-sample",
      "title": "Genblaze Multi-Provider Sample",
      "tagline": "Genblaze sample generating media across multiple AI providers, stored on B2.",
      "description": "A Genblaze sample app that generates media across multiple AI providers from a single pipeline, persisting every output — and its provenance — to Backblaze B2. Demonstrates provider-agnostic gen-media workflows with zero direct S3 code.",
      "categories": ["ai-ml", "data-pipelines"],
      "type": "sample",
      "tags": ["typescript", "genblaze", "ai", "video", "audio", "image"],
      "repo": "backblaze-labs/genblaze-gen-media-multi-provider-sample",
      "url": "https://github.com/backblaze-labs/genblaze-gen-media-multi-provider-sample",
      "icon": "sparkle",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "deep-research-agent-app",
      "title": "Deep Research Agent App",
      "tagline": "Deep-research AI agent that turns a question into a long-form cited report and…",
      "description": "Deep-research AI agent that turns a question into a long-form cited report and caches every source page, screenshot, and report to Backblaze B2 (S3-compatible object storage) as the agent's durable memory. Claude Sonnet 4.6 tool-use loop, Next.js + FastAPI. A Backblaze B2 sample app.",
      "categories": ["agent-skills"],
      "type": "sample",
      "tags": ["ai-agent", "anthropic", "backblaze-b2", "claude", "cloudstorage", "deep-research"],
      "repo": "backblaze-b2-samples/deep-research-agent-app",
      "url": "https://github.com/backblaze-b2-samples/deep-research-agent-app",
      "icon": "bot",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "duckdb-query-in-place",
      "title": "Duckdb Query In Place",
      "tagline": "Run SQL directly against Parquet, CSV, and JSON files in Backblaze B2 with…",
      "description": "Run SQL directly against Parquet, CSV, and JSON files in Backblaze B2 with DuckDB's httpfs extension — query-in-place with no ETL or warehouse, and materialize results back to B2 as Parquet. Next.js + FastAPI sample app.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": ["backblaze-b2", "cloudstorage", "data-lake", "duckdb", "fastapi", "httpfs"],
      "repo": "backblaze-b2-samples/duckdb-query-in-place",
      "url": "https://github.com/backblaze-b2-samples/duckdb-query-in-place",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "lance-multimodal-search",
      "title": "Lance Multimodal Search",
      "tagline": "Multimodal semantic search over images and PDFs with no vector-database…",
      "description": "Multimodal semantic search over images and PDFs with no vector-database server: the LanceDB vector store and ANN index live directly on Backblaze B2. Local CLIP embeddings, S3-only.",
      "categories": ["developer-tools"],
      "type": "sample",
      "tags": ["backblaze-b2", "clip", "cloudstorage", "embeddings", "fastapi", "image-search"],
      "repo": "backblaze-b2-samples/lance-multimodal-search",
      "url": "https://github.com/backblaze-b2-samples/lance-multimodal-search",
      "icon": "wrench",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "supervision-sports-highlights",
      "title": "Supervision Sports Highlights",
      "tagline": "Computer-vision sports-highlights pipeline: detect, track, clip, annotate, and…",
      "description": "Computer-vision sports-highlights pipeline: detect, track, clip, annotate, and AI-summarize the action in a sports video, with Backblaze B2 (S3-compatible) as the sole data store. Built with Roboflow Inference + Supervision, ffmpeg, Claude, FastAPI, and Next.js.",
      "categories": ["agent-skills"],
      "type": "sample",
      "tags": ["backblaze-b2", "claude", "cloudstorage", "computer-vision", "fastapi", "ffmpeg"],
      "repo": "backblaze-b2-samples/supervision-sports-highlights",
      "url": "https://github.com/backblaze-b2-samples/supervision-sports-highlights",
      "icon": "bot",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "iceberg-feature-store",
      "title": "Iceberg Feature Store",
      "tagline": "Apache Iceberg feature store and data lakehouse on Backblaze B2 — versioned…",
      "description": "Apache Iceberg feature store and data lakehouse on Backblaze B2 — versioned feature tables, schema evolution, snapshot rollback, and DuckDB time-travel queries via PyIceberg, with B2 as the warehouse (no data warehouse to run)",
      "categories": ["ai-ml"],
      "type": "sample",
      "tags": [
        "apache-iceberg",
        "backblaze-b2",
        "cloudstorage",
        "data-lakehouse",
        "duckdb",
        "fastapi"
      ],
      "repo": "backblaze-b2-samples/iceberg-feature-store",
      "url": "https://github.com/backblaze-b2-samples/iceberg-feature-store",
      "icon": "sparkle",
      "featured": false,
      "languages": ["typescript", "python", "javascript"]
    },
    {
      "id": "sam2-mask-dataset-builder",
      "title": "Sam2 Mask Dataset Builder",
      "tagline": "Turn a raw media archive on Backblaze B2 into a versioned segmentation dataset.",
      "description": "Turn a raw media archive on Backblaze B2 into a versioned segmentation dataset. Drop click/box prompts, run Meta's Segment Anything 2 (SAM 2) locally to mask images and propagate across video, and write COCO RLE, mask PNGs, and cut-outs back to B2 — no second API key.",
      "categories": ["ai-ml"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "annotation-tool",
        "backblaze-b2",
        "cloudstorage",
        "coco",
        "computer-vision",
        "dataset"
      ],
      "repo": "backblaze-b2-samples/sam2-mask-dataset-builder",
      "url": "https://github.com/backblaze-b2-samples/sam2-mask-dataset-builder",
      "icon": "sparkle",
      "featured": false
    },
    {
      "id": "demucs-stem-archive",
      "title": "Demucs Stem Archive",
      "tagline": "Sample app that splits audio into vocals, drums, bass & other stems with…",
      "description": "Sample app that splits audio into vocals, drums, bass & other stems with Demucs (htdemucs) locally and archives every track + stem to Backblaze B2 over the S3-compatible API. Next.js 16 + FastAPI, browse & stream stems from the bucket.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "audio-processing",
        "audio-separation",
        "backblaze-b2",
        "cloudstorage",
        "demucs",
        "fastapi"
      ],
      "repo": "backblaze-b2-samples/demucs-stem-archive",
      "url": "https://github.com/backblaze-b2-samples/demucs-stem-archive",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "frigate-nvr-archive",
      "title": "Frigate Nvr Archive",
      "tagline": "Archive, search, and play back Frigate NVR surveillance footage on Backblaze B2.",
      "description": "Archive, search, and play back Frigate NVR surveillance footage on Backblaze B2. Ships Frigate's recordings, event clips, snapshots, and a searchable object-detection index to B2 (S3-compatible), then searches the timeline and streams clips via presigned URLs. No database. Sample app.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": ["backblaze-b2", "cctv", "cloudstorage", "fastapi", "frigate", "nextjs"],
      "repo": "backblaze-b2-samples/frigate-nvr-archive",
      "url": "https://github.com/backblaze-b2-samples/frigate-nvr-archive",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "yolo11-batch-detection-pipeline",
      "title": "Yolo11 Batch Detection Pipeline",
      "tagline": "Batch object-detection pipeline that runs Ultralytics YOLO11 (detect/segment)…",
      "description": "Batch object-detection pipeline that runs Ultralytics YOLO11 (detect/segment) over an image/video library on Backblaze B2 S3-compatible storage, writing COCO JSON, annotated frames, and per-class instance crops back to B2.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "backblaze-b2",
        "batch-inference",
        "cloudstorage",
        "coco-dataset",
        "computer-vision",
        "fastapi"
      ],
      "repo": "backblaze-b2-samples/yolo11-batch-detection-pipeline",
      "url": "https://github.com/backblaze-b2-samples/yolo11-batch-detection-pipeline",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "agent-backup-core",
      "title": "Agent Backup Core",
      "tagline": "Reusable engine to back up AI coding agent state to Backblaze B2 — encrypted,…",
      "description": "Reusable engine to back up AI coding agent state to Backblaze B2 — encrypted, incremental, WAL-safe SQLite snapshots.",
      "categories": ["developer-tools"],
      "type": "sdk",
      "languages": ["typescript"],
      "tags": ["ai-agent", "b2", "backblaze", "backup", "cloud-storage", "encryption"],
      "repo": "backblaze-labs/agent-backup-core",
      "url": "https://github.com/backblaze-labs/agent-backup-core",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "goose-b2-backup",
      "title": "Goose B2 Backup",
      "tagline": "Back up your Goose AI agent sessions, config, and memory to Backblaze B2 —…",
      "description": "Back up your Goose AI agent sessions, config, and memory to Backblaze B2 — encrypted, incremental, WAL-safe.",
      "categories": ["developer-tools"],
      "type": "tool",
      "languages": ["javascript", "typescript"],
      "tags": ["ai-agent", "b2", "backblaze", "backup", "cli", "cloud-storage"],
      "repo": "backblaze-labs/goose-b2-backup",
      "url": "https://github.com/backblaze-labs/goose-b2-backup",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "hermes-b2-backup",
      "title": "Hermes B2 Backup",
      "tagline": "Back up your Hermes Agent (Nous Research) state, memory, and skills to…",
      "description": "Back up your Hermes Agent (Nous Research) state, memory, and skills to Backblaze B2 — encrypted, incremental, offsite.",
      "categories": ["developer-tools"],
      "type": "tool",
      "languages": ["javascript", "typescript"],
      "tags": ["ai-agent", "b2", "backblaze", "backup", "cli", "cloud-storage"],
      "repo": "backblaze-labs/hermes-b2-backup",
      "url": "https://github.com/backblaze-labs/hermes-b2-backup",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "openhands-b2-backup",
      "title": "Openhands B2 Backup",
      "tagline": "Back up your OpenHands (OpenDevin) conversations, settings, and secrets to…",
      "description": "Back up your OpenHands (OpenDevin) conversations, settings, and secrets to Backblaze B2 — encrypted, incremental.",
      "categories": ["developer-tools"],
      "type": "tool",
      "languages": ["javascript", "typescript"],
      "tags": ["ai-agent", "b2", "backblaze", "backup", "cli", "cloud-storage"],
      "repo": "backblaze-labs/openhands-b2-backup",
      "url": "https://github.com/backblaze-labs/openhands-b2-backup",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "cline-b2-backup",
      "title": "Cline B2 Backup",
      "tagline": "Back up your Cline (VS Code, Cursor, Windsurf) chat history and tasks to…",
      "description": "Back up your Cline (VS Code, Cursor, Windsurf) chat history and tasks to Backblaze B2 — encrypted, incremental.",
      "categories": ["developer-tools", "ide-extensions"],
      "type": "tool",
      "languages": ["javascript", "typescript"],
      "tags": ["ai-agent", "b2", "backblaze", "backup", "cli", "cline"],
      "repo": "backblaze-labs/cline-b2-backup",
      "url": "https://github.com/backblaze-labs/cline-b2-backup",
      "icon": "code",
      "featured": false
    },
    {
      "id": "aider-b2-backup",
      "title": "Aider B2 Backup",
      "tagline": "Back up your Aider chat history and config across projects to Backblaze B2 —…",
      "description": "Back up your Aider chat history and config across projects to Backblaze B2 — encrypted, incremental.",
      "categories": ["developer-tools"],
      "type": "tool",
      "languages": ["javascript", "typescript"],
      "tags": ["ai-agent", "aider", "b2", "backblaze", "backup", "cli"],
      "repo": "backblaze-labs/aider-b2-backup",
      "url": "https://github.com/backblaze-labs/aider-b2-backup",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "continue-b2-backup",
      "title": "Continue B2 Backup",
      "tagline": "Back up your Continue (continue.dev) chat sessions and config to Backblaze B2…",
      "description": "Back up your Continue (continue.dev) chat sessions and config to Backblaze B2 — encrypted, incremental.",
      "categories": ["developer-tools", "ide-extensions"],
      "type": "tool",
      "languages": ["javascript", "typescript"],
      "tags": ["ai-agent", "b2", "backblaze", "backup", "cli", "cloud-storage"],
      "repo": "backblaze-labs/continue-b2-backup",
      "url": "https://github.com/backblaze-labs/continue-b2-backup",
      "icon": "code",
      "featured": false
    },
    {
      "id": "ai-product-photo-studio",
      "title": "Ai Product Photo Studio",
      "tagline": "AI product photography studio for e-commerce: upload one reference photo,…",
      "description": "AI product photography studio for e-commerce: upload one reference photo, write a scene prompt, and generate studio-quality, reference-faithful product shots with OpenAI gpt-image-1. Stored on Backblaze B2 with SHA-256 provenance.",
      "categories": ["ai-ml"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "ai-image-generation",
        "ai-product-photography",
        "backblaze-b2",
        "cloudstorage",
        "ecommerce",
        "fastapi"
      ],
      "repo": "backblaze-b2-samples/ai-product-photo-studio",
      "url": "https://github.com/backblaze-b2-samples/ai-product-photo-studio",
      "icon": "sparkle",
      "featured": false
    },
    {
      "id": "ai-moodboard-generator",
      "title": "Ai Moodboard Generator",
      "tagline": "AI moodboard generator: text-to-image with OpenAI gpt-image-1 (via Genblaze),…",
      "description": "AI moodboard generator: text-to-image with OpenAI gpt-image-1 (via Genblaze), with every generated pin persisted to Backblaze B2 S3-compatible object storage. Named boards, fork/remix lineage, sha256 provenance, presigned or public URLs. Next.js 16 + FastAPI. A finished B2 sample app.",
      "categories": ["ai-ml"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "ai-image-generation",
        "backblaze-b2",
        "cloudstorage",
        "fastapi",
        "genblaze",
        "generative-ai"
      ],
      "repo": "backblaze-b2-samples/ai-moodboard-generator",
      "url": "https://github.com/backblaze-b2-samples/ai-moodboard-generator",
      "icon": "sparkle",
      "featured": false
    },
    {
      "id": "whisperx-diarized-archive",
      "title": "Whisperx Diarized Archive",
      "tagline": "Turn an audio/video library on Backblaze B2 into a searchable, speaker-labeled…",
      "description": "Turn an audio/video library on Backblaze B2 into a searchable, speaker-labeled transcript archive. Local open-source pipeline — WhisperX transcription, pyannote diarization, sentence-transformers embeddings — with keyword + semantic search and a Next.js/FastAPI web UI.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": ["audio-processing", "backblaze-b2", "cloudstorage", "fastapi", "nextjs", "pyannote"],
      "repo": "backblaze-b2-samples/whisperx-diarized-archive",
      "url": "https://github.com/backblaze-b2-samples/whisperx-diarized-archive",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "music-tagging-search",
      "title": "Music Tagging Search",
      "tagline": "Self-hosted semantic music search and audio tagging over a catalog on…",
      "description": "Self-hosted semantic music search and audio tagging over a catalog on Backblaze B2. Essentia extracts BPM, key, genre, and mood; CLAP embeddings power find-similar and plain-English text-to-audio search. All local OSS models — B2 is the only credential.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": ["audio-embeddings", "backblaze-b2", "clap", "cloudstorage", "essentia", "fastapi"],
      "repo": "backblaze-b2-samples/music-tagging-search",
      "url": "https://github.com/backblaze-b2-samples/music-tagging-search",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "albumentations-dataset-augmentation",
      "title": "Albumentations Dataset Augmentation",
      "tagline": "Reproducible image dataset augmentation pipeline built on Albumentations and…",
      "description": "Reproducible image dataset augmentation pipeline built on Albumentations and Backblaze B2: define a versioned transform recipe, generate N augmented variants per seed image, and write the expanded training dataset back to B2 with a manifest that makes every run replayable bit-for-bit.",
      "categories": ["ai-ml"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "albumentations",
        "backblaze-b2",
        "cloudstorage",
        "computer-vision",
        "data-augmentation",
        "fastapi"
      ],
      "repo": "backblaze-b2-samples/albumentations-dataset-augmentation",
      "url": "https://github.com/backblaze-b2-samples/albumentations-dataset-augmentation",
      "icon": "sparkle",
      "featured": false
    },
    {
      "id": "prompt-showdown",
      "title": "Prompt Showdown",
      "tagline": "Version and A/B test your LLM prompts like code: run N prompt variants across…",
      "description": "Version and A/B test your LLM prompts like code: run N prompt variants across a shared input set, score every output with an LLM judge (NVIDIA NIM), and preserve each run on Backblaze B2 as a durable, queryable system of record. Next.js + FastAPI sample app.",
      "categories": ["ai-ml"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": ["ai", "backblaze-b2", "cloudstorage", "fastapi", "llm", "llm-as-a-judge"],
      "repo": "backblaze-b2-samples/prompt-showdown",
      "url": "https://github.com/backblaze-b2-samples/prompt-showdown",
      "icon": "sparkle",
      "featured": false
    },
    {
      "id": "ai-video-upscaler-restore",
      "title": "Ai Video Upscaler Restore",
      "tagline": "AI video & image upscaler and restorer: run Real-ESRGAN 4×/8× super-resolution…",
      "description": "AI video & image upscaler and restorer: run Real-ESRGAN 4×/8× super-resolution and optional GFPGAN face restoration locally, storing degraded sources and restored outputs side by side on Backblaze B2. Next.js + FastAPI sample app with a before/after browser and no database — the B2 bucket is the system of record.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "face-restoration",
        "fastapi",
        "gfpgan",
        "image-upscaling"
      ],
      "repo": "backblaze-b2-samples/ai-video-upscaler-restore",
      "url": "https://github.com/backblaze-b2-samples/ai-video-upscaler-restore",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "eval-vault",
      "title": "Eval Vault",
      "tagline": "LLM evaluation harness that archives every eval run — input, output, score,…",
      "description": "LLM evaluation harness that archives every eval run — input, output, score, and trace — as immutable JSON on Backblaze B2. Run prompt evals against multiple Claude models, score with built-in + LLM-as-a-judge scorers, and diff runs to catch regressions.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "anthropic-claude",
        "backblaze-b2",
        "cloudstorage",
        "evaluation-harness",
        "fastapi",
        "llm-as-a-judge"
      ],
      "repo": "backblaze-b2-samples/eval-vault",
      "url": "https://github.com/backblaze-b2-samples/eval-vault",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "ai-shorts-generator",
      "title": "Ai Shorts Generator",
      "tagline": "Open-source AI shorts generator: turn one long video into vertical 9:16 clips…",
      "description": "Open-source AI shorts generator: turn one long video into vertical 9:16 clips with burned-in captions. Transcribes with Whisper, uses an LLM to pick the best moments, renders with ffmpeg — every source, transcript, and clip stored on Backblaze B2. Next.js + FastAPI sample app.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": ["ai-video", "backblaze-b2", "captions", "cloudstorage", "fastapi", "ffmpeg"],
      "repo": "backblaze-b2-samples/ai-shorts-generator",
      "url": "https://github.com/backblaze-b2-samples/ai-shorts-generator",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "sveltiacms",
      "title": "Sveltia CMS",
      "tagline": "Git-based headless CMS with media stored in Backblaze B2.",
      "description": "Sveltia CMS is a Git-based headless CMS and a drop-in successor to Netlify/Decap CMS. Point its media library at Backblaze B2 over the S3-compatible API so editorial uploads land directly in your own bucket.",
      "categories": ["developer-tools", "community"],
      "type": "integration",
      "languages": ["javascript"],
      "tags": ["sveltiacms", "sveltia-cms", "s3-compatible"],
      "repo": null,
      "source": "Sveltia CMS",
      "url": "https://sveltiacms.app/en/docs/media/backblaze-b2",
      "icon": "flow",
      "featured": false
    },
    {
      "id": "home-assistant",
      "title": "Home Assistant",
      "tagline": "Store Home Assistant backups in Backblaze B2.",
      "description": "The Backblaze B2 integration lets Home Assistant store its system backups in a Backblaze B2 bucket over the S3-compatible API. Add your application key ID, application key, and bucket name (with an optional prefix) under Settings > Devices & Services, and backups upload straight to B2. Available since Home Assistant 2025.12.",
      "categories": ["infra", "community"],
      "type": "integration",
      "languages": ["python"],
      "tags": ["home-assistant", "s3-compatible"],
      "repo": null,
      "source": "Home Assistant",
      "url": "https://www.home-assistant.io/integrations/backblaze_b2/",
      "icon": "server",
      "featured": false,
      "preview": "https://www.home-assistant.io/images/default-social.png"
    },
    {
      "id": "rife-frame-interpolation-pipeline",
      "title": "Rife Frame Interpolation Pipeline",
      "tagline": "Self-hosted RIFE video frame interpolation pipeline: turn footage into smooth…",
      "description": "Self-hosted RIFE video frame interpolation pipeline: turn footage into smooth 2x/4x/8x slow motion with on-device Practical-RIFE neural interpolation (CPU/CUDA/Apple MPS), no AI API key, storing source clips and renders in Backblaze B2 via the S3-compatible API. FastAPI + Next.js B2 sample app.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "fastapi",
        "ffmpeg",
        "frame-interpolation",
        "nextjs"
      ],
      "repo": "backblaze-b2-samples/rife-frame-interpolation-pipeline",
      "url": "https://github.com/backblaze-b2-samples/rife-frame-interpolation-pipeline",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "qwen-video-chapters",
      "title": "Qwen Video Chapters",
      "tagline": "AI video chapterization app that runs Qwen2.5-VL locally (no inference API…",
      "description": "AI video chapterization app that runs Qwen2.5-VL locally (no inference API key) over ffmpeg-extracted keyframes to auto-generate chapter timestamps, titles, thumbnails, and summaries — with the source video and every derived artifact stored in Backblaze B2 via the S3-compatible API",
      "categories": ["ai-ml"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": ["ai", "backblaze-b2", "cloudstorage", "fastapi", "ffmpeg", "nextjs"],
      "repo": "backblaze-b2-samples/qwen-video-chapters",
      "url": "https://github.com/backblaze-b2-samples/qwen-video-chapters",
      "icon": "sparkle",
      "featured": false
    },
    {
      "id": "mmaction2-action-dataset-builder",
      "title": "Mmaction2 Action Dataset Builder",
      "tagline": "Build labeled action-recognition datasets from raw video: segment, clip, label…",
      "description": "Build labeled action-recognition datasets from raw video: segment, clip, label with MMAction2 (Kinetics-400), and package train/val/test splits. FastAPI + Next.js sample app storing everything on Backblaze B2 via the S3-compatible API.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "action-recognition",
        "backblaze-b2",
        "cloudstorage",
        "computer-vision",
        "deep-learning",
        "fastapi"
      ],
      "repo": "backblaze-b2-samples/mmaction2-action-dataset-builder",
      "url": "https://github.com/backblaze-b2-samples/mmaction2-action-dataset-builder",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "bytetrack-dataset-builder",
      "title": "Bytetrack Dataset Builder",
      "tagline": "Turn raw video on Backblaze B2 into training-ready multi-object-tracking…",
      "description": "Turn raw video on Backblaze B2 into training-ready multi-object-tracking datasets. ByteTrack + a keyless local detector fan one video out into per-track annotations, cropped clips, and versioned MOT-format label releases written back to B2 over the S3-compatible API. No GPU, no paid inference API.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "backblaze-b2",
        "bytetrack",
        "cloudstorage",
        "computer-vision",
        "dataset-generation",
        "fastapi"
      ],
      "repo": "backblaze-b2-samples/bytetrack-dataset-builder",
      "url": "https://github.com/backblaze-b2-samples/bytetrack-dataset-builder",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "lerobot-b2-streaming",
      "title": "Lerobot B2 Streaming",
      "tagline": "Stream HuggingFace LeRobot v3 robot datasets straight from a Backblaze B2…",
      "description": "Stream HuggingFace LeRobot v3 robot datasets straight from a Backblaze B2 bucket over the S3 API, fetching only the byte ranges you need instead of downloading the whole dataset. Record real teleoperation episodes to B2, index by task, and stream them back to train. The S3 streaming bridge LeRobot lacks (huggingface/lerobot#764).",
      "categories": ["ai-ml"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "datasets",
        "fastapi",
        "huggingface",
        "imitation-learning"
      ],
      "repo": "backblaze-b2-samples/lerobot-b2-streaming",
      "url": "https://github.com/backblaze-b2-samples/lerobot-b2-streaming",
      "icon": "sparkle",
      "featured": false
    },
    {
      "id": "whisper-subtitle-pipeline",
      "title": "Whisper Subtitle Pipeline",
      "tagline": "Self-hosted batch video subtitling & translation built on faster-whisper and…",
      "description": "Self-hosted batch video subtitling & translation built on faster-whisper and Backblaze B2 — transcribe and translate videos on-device (no per-minute API fees) and store source media plus SRT/VTT/JSON captions in one bucket. Next.js + FastAPI.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": ["backblaze-b2", "cloudstorage", "fastapi", "faster-whisper", "nextjs", "nllb"],
      "repo": "backblaze-b2-samples/whisper-subtitle-pipeline",
      "url": "https://github.com/backblaze-b2-samples/whisper-subtitle-pipeline",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "whisper-dataset-builder",
      "title": "Whisper Dataset Builder",
      "tagline": "Turn long-form audio on Backblaze B2 into a training-ready speech dataset:…",
      "description": "Turn long-form audio on Backblaze B2 into a training-ready speech dataset: local pyannote VAD segmentation + faster-whisper transcription fan one recording out into many labeled clip/transcript pairs, written back to B2 as LJSpeech or HuggingFace audiofolder for ASR/TTS training.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": ["asr", "audio-processing", "backblaze-b2", "cloudstorage", "dataset", "fastapi"],
      "repo": "backblaze-b2-samples/whisper-dataset-builder",
      "url": "https://github.com/backblaze-b2-samples/whisper-dataset-builder",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "nudenet-video-moderation",
      "title": "Nudenet Video Moderation",
      "tagline": "Self-hosted NSFW video moderation pipeline: NudeNet (local ONNX) classifies…",
      "description": "Self-hosted NSFW video moderation pipeline: NudeNet (local ONNX) classifies ffmpeg-sampled frames, flags unsafe content, and routes it to a human-in-the-loop review queue — every video, frame crop, and report stored on Backblaze B2 via the S3-compatible API. Next.js + FastAPI.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "computer-vision",
        "content-moderation",
        "fastapi",
        "ffmpeg"
      ],
      "repo": "backblaze-b2-samples/nudenet-video-moderation",
      "url": "https://github.com/backblaze-b2-samples/nudenet-video-moderation",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "videohash-deduplication",
      "title": "Videohash Deduplication",
      "tagline": "Perceptual video deduplication on Backblaze B2: hash a video library with…",
      "description": "Perceptual video deduplication on Backblaze B2: hash a video library with videohash, cluster near-duplicates by Hamming distance, and reclaim storage. Local, open-source, keyless compute — B2 holds the library, the hash index, and every cluster report.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "deduplication",
        "fastapi",
        "near-duplicate-detection",
        "nextjs"
      ],
      "repo": "backblaze-b2-samples/videohash-deduplication",
      "url": "https://github.com/backblaze-b2-samples/videohash-deduplication",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "deoldify-archive-colorizer",
      "title": "Deoldify Archive Colorizer",
      "tagline": "Colorize black-and-white archival photos and film stills locally with DeOldify…",
      "description": "Colorize black-and-white archival photos and film stills locally with DeOldify (NoGAN) and keep both the original masters and the colorized restorations in Backblaze B2 — an ingest, colorize, compare, and retain pipeline for film archives, museums, and documentary teams.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "colorization",
        "computer-vision",
        "deep-learning",
        "deoldify"
      ],
      "repo": "backblaze-b2-samples/deoldify-archive-colorizer",
      "url": "https://github.com/backblaze-b2-samples/deoldify-archive-colorizer",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "yt-dlp-vod-archiver",
      "title": "Yt Dlp Vod Archiver",
      "tagline": "Self-hosted VOD & live-stream archiver: download any yt-dlp-supported video,…",
      "description": "Self-hosted VOD & live-stream archiver: download any yt-dlp-supported video, stream it straight to Backblaze B2 cloud storage, auto-cut highlight clips with ffmpeg, and browse it all from a Next.js + FastAPI UI. B2 sample app.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": ["backblaze-b2", "cloudstorage", "fastapi", "ffmpeg", "livestream", "nextjs"],
      "repo": "backblaze-b2-samples/yt-dlp-vod-archiver",
      "url": "https://github.com/backblaze-b2-samples/yt-dlp-vod-archiver",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "paddleocr-document-archive",
      "title": "Paddleocr Document Archive",
      "tagline": "Self-hosted OCR document archive: PaddleOCR turns scanned pages into…",
      "description": "Self-hosted OCR document archive: PaddleOCR turns scanned pages into searchable, structured text locally — no external OCR API — with Backblaze B2 (S3-compatible) as the single source of truth and a rebuildable SQLite index for keyword search.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "document-digitization",
        "fastapi",
        "full-text-search",
        "nextjs"
      ],
      "repo": "backblaze-b2-samples/paddleocr-document-archive",
      "url": "https://github.com/backblaze-b2-samples/paddleocr-document-archive",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "donut-receipt-parser",
      "title": "Donut Receipt Parser",
      "tagline": "OCR-free receipt & invoice parsing: runs the Donut vision model locally to…",
      "description": "OCR-free receipt & invoice parsing: runs the Donut vision model locally to extract line items, tax, and totals as structured JSON, storing every raw image and extraction in Backblaze B2 (S3-compatible) — no OCR step, no database, no second API key.",
      "categories": ["developer-tools"],
      "type": "sample",
      "languages": ["typescript", "javascript", "python"],
      "tags": [
        "backblaze-b2",
        "cloudstorage",
        "document-understanding",
        "donut",
        "fastapi",
        "huggingface"
      ],
      "repo": "backblaze-b2-samples/donut-receipt-parser",
      "url": "https://github.com/backblaze-b2-samples/donut-receipt-parser",
      "icon": "wrench",
      "featured": false
    },
    {
      "id": "zenml",
      "title": "ZenML",
      "tagline": "Native Backblaze B2 artifact store support for ZenML pipelines.",
      "description": "Open-source MLOps framework for creating portable, production-ready ML pipelines across any infrastructure.",
      "categories": ["ai-ml", "data-pipelines", "community"],
      "type": "integration",
      "languages": ["python", "javascript"],
      "tags": ["zenml", "s3-compatible"],
      "repo": null,
      "source": "ZenML",
      "url": "https://docs.zenml.io/changelog/server-sdk",
      "icon": "flow",
      "featured": false
    }
  ]
}