AI-powered tool to turn long videos into short, viral-ready clips. Combines transcription, speaker diarization, scene detection & 9:16 resizing — perfect for creators & smart automation.

speech to text gui for different (mostly Whisper, also Voxtral) models and backends, including whisper.cpp, mlx-whisper, faster-whisper, ctranslate2; applies pyannote for diarization

ONNX implementation of Pyannote Speaker Diarization 3.1 pipeline.

🎥 Transform long videos into short, shareable clips effortlessly using AI-driven tools for creators and educators.

A Tool to Transcribe Audio Files with Speaker Diarization

A multimodal speaker diarization system using audio, video, and dialogue cues 🗣️💬

An intelligent Streamlit application to transcribe and analyze multi-speaker medical consultations. This tool automatically identifies who spoke when (diarization), transcribes their speech (ASR), and assigns their role (Clinician or Patient), even in conversations that mix English and other languages like Hindi or Tamil.

WebSocket based Python implementation that streams live audio to the Deepgram API for real-time transcription and speaker diarization.

AI-Powered Speech Recognition & Diarization: A robust Streamlit application leveraging WhisperX and Faster-Whisper for accurate transcription and speaker separation. Features dual-mode processing (Fast/Pro), automatic speaker identification, color-coded Word (.docx) export, and CPU-optimized Docker deployment on AWS EC2.

This repository is to experiment the integration with @ggml-org/whisper.cpp for offline STT + pyannote/speaker-diarization-3.1

AI-powered meeting transcription tool with speaker diarization using Whisper and pyannote-audio.

A simple protocol manager for your audios