Your audio, transcribed on your own GPU.
An open-source alternative to Otter.ai that runs entirely on your own hardware. Whisper large-v3 transcription with optional speaker labels, wrapped in a web UI, an API and a CLI. No cloud, no accounts, no per-minute billing. Your audio never leaves the machine.
faster-whisper on CTranslate2 with CUDA int8_float16. Fits and flies on an 8 GB consumer GPU.
pyannote.audio tells speakers apart. Optional: without it scribe still transcribes and says why labels are missing.
Drag and drop a file, watch progress live, read a color-coded transcript per speaker.
Upload, poll and fetch results as JSON, or run one command in a terminal.
TXT, SRT, VTT, JSON and Markdown, from the UI, API or CLI.
Everything runs and stays local, including the model cache and the job queue.
git clone https://github.com/jay739/scribe && cd scribe
powershell -ExecutionPolicy Bypass -File scripts/setup.ps1
.venv\Scripts\python -m scribe.server
# open http://localhost:8323