
How it works
Drop in an audio file and Notter takes it from there. The conversation is transcribed locally with Whisper, speakers are automatically separated, and a local LLM steps in to generate summaries and action items.
Everything stays on your machine, fast and private. A clean web interface lets you review, edit, rename speakers, and even chat with the transcript to dig deeper.
No cloud, no accounts, no surprises. Just your audio, turned into insight, right where it was created.
Features
Notter focuses on doing a few powerful things extremely well, all while keeping your data local and under your control.
- π΅ Audio Transcription β Fast, GPU-accelerated transcription powered by Whisper
- π₯ Speaker Diarization β Automatic speaker separation and labeling
- π€ Local AI Chat β Ask questions and generate insights using a local LLM (Ollama)
- π Session Management β Organize, revisit, and manage multiple recordings
- βοΈ Editable Content β Refine transcripts, summaries, action items, and speaker names
- π 100% Local Processing β No cloud, no uploads, no data leakage

Build your own
If you want your own private and local transcription system, you can just build Notter in your own machine.
Check out the GitHub repo or send me a message here.



