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Clipmark is a high-performance, 100% native YouTube processing tool that transforms any video into navigable timestamps, detailed transcripts, and pro-level SEO metadata. By bypassing AI latency, Clipmark provides near-instant results directly from official YouTube data.

Tip

New to the project? Check out our Full Technical Documentation for a deep-dive into every step, workflow, and API logic.


✨ Key Features

  • 📊 Comprehensive Video Insights: Real-time extraction of view counts, likes, comments, and channel metadata.
  • 🔖 Native Chapter Parsing: Automatically extracts "creator-intended" chapters from video descriptions with click-to-seek functionality.
  • 📝 Optimized Transcripts: Word-for-word YouTube captions grouped into 10-second readable segments.
  • 🔍 SEO Metadata: Instant retrieval of full video descriptions and tags for SEO optimization.
  • ♾️ 100% Free & Unlimited: No video processing limits or tier-based restrictions.
  • ⚡ Lightning Fast: Native-only processing path skips heavy audio extraction and STT for near-instant results.

🛠 Tech Stack


🚀 Getting Started

1. Prerequisites

Ensure you have the following installed:

2. Environment Setup

Create a .env file in apps/api and a .env.local in apps/web.

Apps API (apps/api/.env)

PORT=8080
MONGODB_URI=your_mongodb_uri
REDIS_URL=redis://localhost:6379
YOUTUBE_API_KEY=your_google_api_key
CLERK_SECRET_KEY=your_clerk_secret_key
CLERK_PUBLISHABLE_KEY=your_clerk_publishable_key
CLOUDINARY_URL=your_cloudinary_url

Apps Web (apps/web/.env.local)

NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=your_clerk_publishable_key
CLERK_SECRET_KEY=your_clerk_secret_key
NEXT_PUBLIC_API_URL=http://localhost:8080

3. Installation

Install dependencies for the entire monorepo:

npm install

4. Running the Project

Start both the Frontend and Backend concurrently:

npm run dev

The apps will be available at:

  • Web: http://localhost:3000
  • API: http://localhost:8080

📂 Project Structure

├── apps/
│   ├── api/            # Express Backend (Jobs, Workers, API)
│   └── web/            # Next.js Frontend (Dashboard, Results, Auth)
├── packages/
│   └── shared/         # Shared Types and Constants
└── package.json        # Root workspace configuration

🔄 Workflow logic

  1. Submission: User pastes a YouTube URL into the dashboard.
  2. Metadata Fetch: Backend uses YouTube Data API to fetch title, duration, and detailed stats (views, likes).
  3. Queueing: A job is added to BullMQ for processing.
  4. Native Processing:
    • Extraction of original description.
    • Regex parsing of description for timestamps (Chapters).
    • Retrieval of official closed captions.
    • Grouping transcript into 10s intervals.
  5. Database Update: Results are stored in MongoDB.
  6. Delivery: Frontend polls for completion and displays the interactive dashboard with Click-to-Seek.

📄 License

© 2026 Clipmark. All rights reserved. Built by Jenil Rupapara.

About

Clipmark is a high-performance YouTube video processing tool that extracts transcripts, timestamps, chapters, tags, and SEO metadata instantly using native YouTube APIs. Built with Next.js, Node.js, Redis, and MongoDB, it delivers fast creator insights without AI latency or heavy audio processing.

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