ASR trained on your domain’s language, accents, and jargon—so transcripts are not just accurate, but actually usable.
Medical transcription model trained on clinical audio, built to capture medical terminology and abbreviations.
Try nowTrained on field-specific language—medical terms, support scripts, policy/legal phrasing—so it actually understands how your domain speaks
Trained on field-specific language—medical terms, support scripts, policy/legal phrasing—so it actually understands how your domain speaks
Fewer critical errors on key entities (symptoms, dosages, order IDs, intents) compared to generic ASR models
Fewer critical errors on key entities (symptoms, dosages, order IDs, intents) compared to generic ASR models
Transcripts optimized for downstream tasks—notes, summaries, QA flags, CRM fields—so less post-processing and faster automation.
Transcripts optimized for downstream tasks—notes, summaries, QA flags, CRM fields—so less post-processing and faster automation.
Zero STT Med reaches 11.1% WER and 5.1% CER on noisy, multi-speaker medical audio, outperforming Whisper, ElevenLabs Scribe, and AWS Transcribe.