harry0703/AudioNotes

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2472 stars · 365 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AudioNotes is a locally-run web application that transcribes audio and video files into text and organizes them into structured Markdown notes. It uses FunASR for on-device speech recognition and Ollama-hosted LLMs (e.g., Qwen) for note generation and follow-up Q&A, keeping all data on the user's machine.

Use cases

• transcribe meeting recordings into structured notes
• convert lecture audio to markdown notes
• summarize interview recordings automatically
• chat with the content of an audio or video file
• record voice memos in browser and get transcripts
• transcribe audio offline without sending data to cloud AI

When to choose

• you need privacy-first, fully local transcription and note-taking
• you work with Chinese-language audio and want high recognition quality
• you want to ask follow-up questions about meeting or lecture content
• you prefer self-hosted tools with Docker deployment

When to avoid

• you need cloud-scale or multi-language enterprise transcription
• your machine lacks 12-16GB RAM for Docker and local models
• you need real-time streaming transcription during live events
• you want a hosted service with no local setup

Facets

application · maturity active

speech-recognition nlp llm-inference chatbot markdown speech-processing developer-tools self-hosted privacy self-hosted cross-platform python asr funasr ollama whisper meeting-notes transcription local-first audio-to-text video-to-text chainlit natural-language-processing docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="harry0703/AudioNotes")