Speaker diarization for Python — "who spoke when?" CPU-only, no API keys, Apache 2.0. ~10.8% DER on VoxConverse, 8x faster than real-time.
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Updated
Mar 6, 2026 - Python
Speaker diarization for Python — "who spoke when?" CPU-only, no API keys, Apache 2.0. ~10.8% DER on VoxConverse, 8x faster than real-time.
Scripts for data generation, scoring and data manifest preparation for CHiME-8 DASR task.
Open-source web dashboard for Vexa – manage meeting transcriptions, view real-time transcripts, and chat with your meetings using AI.
Record and transcribe Teams, Zoom, and Google Meet calls locally with AI-powered speaker identification. Open-source alternative to Evaer, Otter.ai, and Fireflies. Offline speech-to-text using Whisper — no cloud, no subscriptions.
A native macOS meeting intelligence app — transcribe, summarize, and chat with your meetings using local or cloud AI. Local-first by default.
🎧 X2AGI speech services: ASR, diarization, AI reports (gRPC, REST clients)
100% local meeting transcription, summarization, and visualization for HiDock USB recorders. Moonshine ASR + Ollama. No cloud. No subscription.
Privacy-first meeting transcription with speaker diarization. Records audio, transcribes with Whisper, and identifies speakers. All completely offline, no cloud, no data sharing.
Self-hosted AI tool to transcribe and summarize meetings. Upload audio files, transcribe with Whisper, and generate structured summaries using OpenAI GPT or Google Gemini.
Claude Code skill that turns audio recordings into speaker-labeled transcripts and project-aware meeting notes (faster-whisper + pyannote.audio).
Yad (יד) — local macOS meeting transcription & summarization, powered by Whisper
Android app for offline speech recognition and AI meeting summarization using whisper.cpp and llama.cpp
🎙️ Automated audio transcription with speaker diarization — turn interviews & meetings into timestamped, speaker-labeled transcripts using Whisper + pyannote
Detect and block invisible meeting transcription tools (Granola, Otter.ai, Fireflies, Read.ai). Protect your meeting privacy from AI notetakers recording without consent.
AI-powered assistant for CEOs that can transcribe meetings, extract tasks, and generate reports using OpenAI GPT models. Built with Python, SQLite, and OpenAI API.
Free, open-source, fully local meeting transcription for macOS. Records system audio + mic, transcribes with faster-whisper, identifies speakers with pyannote, and generates AI summaries — all on-device. No cloud, no subscription, no data leaves your machine.
A Python toolkit for automated audio transcription using OpenAI's Whisper model. It handles large audio files through intelligent compression, parallel chunk processing, and correction of technical terms. Features include audio size optimization and smart text formatting, making it ideal for transcribing meetings and technical conversations.
A web app that transcribes, summarizes, and visualizes team meeting recordings to highlight action items, deadlines, and follow-ups for remote teams.
Chrome extension that records, transcribes, and summarizes meetings in your browser using Whisper and LLMs — privacy-first, BYO AI keys.
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