{"repo":"afeef/zabt-ai","free":true,"listed":false,"github":"https://github.com/afeef/zabt-ai","clone":"git clone https://github.com/afeef/zabt-ai.git","description":"Self-hosted AI meeting intelligence — transcription (faster-whisper), speaker diarization (pyannote), and LLM summaries on infrastructure you control. An open-source, self-hostable alternative to Otter.ai / Fireflies.","language":"Python","stars":17,"topics":["agpl","ai","fastapi","meeting-notes","nextjs","otter-alternative","pyannote","self-hosted","speaker-diarization","transcription"],"license":"AGPL-3.0","category":"self-hosted-apps","readme_excerpt":"zabt.ai Self-hosted AI meeting intelligence. zabt.ai transcribes, diarizes, and summarizes your meetings on infrastructure you control — a self-hosted alternative to Otter.ai and Fireflies where your audio and transcripts never leave your machines. Upload a recording (or let the bot join a call), and get an accurate, speaker-labeled transcript and an LLM-written summary, powered by faster-whisper, pyannote, and any OpenAI-compatible model. Why zabt.ai - Your data stays yours. Audio, transcripts, and summaries live on your own hardware or cloud account — nothing is sent to a third-party meeting-notes SaaS. - Runs on one machine. git clone → docker compose up . Bundled Postgres, object storage, transcription worker, and web UI. - Bring your own models. Any OpenAI-compatible LLM endpoint (OpenRouter, Ollama, vLLM, LM Studio, OpenAI). Whisper model size is your call. - Accurate, speaker-labeled transcripts. faster-whisper for ASR + pyannote for diarization (\"who said what\"). - Scales when you need it. The same codebase runs a single-box deploy or a split topology with RunPod serverless GPUs behind a small API VPS. Architecture The GPU worker runs locally by default; in the cloud topology it is a RunPod serverless endpoint. Authentication is delegated to Supabase (a free project works). Quick start (single machine) Prerequisites: Docker + Docker Compose. For GPU transcription: an NVIDIA GPU with the NVIDIA Container Toolkit. No GPU? See CPU-only below. Then open: - Web UI → http:/","default_branch":null,"files":null,"tree":[],"storefront":"/r/afeef","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/afeef/zabt-ai/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}