Open source
Run medical transcription on your hardware
Omi Med STT v1 is a separate open-source, English medical transcription runtime. Audio stays in your process; no Omi API key or hosted account is required.
Install and transcribe
# Base CLI
pip install -U omi-med-stt
# Apple Silicon / MLX
pip install -U "omi-med-stt[mlx]"omi-med-stt consultation.m4a --json
# Verify the local runtime and model artifact
omi-med-stt checkThe package reads common audio formats, downmixes to mono, and resamples to 16 kHz. Model weights download on first use from the published Hugging Face repositories.
Choose a runtime
| Hardware | Runtime | Released artifact |
|---|---|---|
| Apple Silicon | mlx | MLX q8 |
| NVIDIA CUDA | GPU runtime | Canonical published weights |
| Linux / Windows CPU | cpp | GGUF q8_0 |
Runtime exports have separate benchmark rows because quantization and conversion can change accuracy. Use the result for the artifact you actually deploy, not a different published artifact's number. See GitHub for the current platform-specific GPU installation command.
Cloud and local are different products
| Capability | Hosted API | Open-source runtime |
|---|---|---|
| Processing | Managed in the EU | Inside your process |
| Languages | Eight supported families; English medically evaluated | English |
| Long jobs and webhooks | Yes | Your application owns the workflow |
| Speaker labels and word timing | Available by request fields | Not part of the released CLI contract |
| Encounter vocabulary and Patterns | Available by request fields and plan | Not part of the released CLI contract |
| License | Service terms | MIT runtime code; CC-BY-4.0 weights |
Review transcripts before clinical use
The local runtime is speech-to-text, not a diagnostic, triage, prescribing, or clinical decision system. It is not clinically validated. Keep human review in the workflow.