Best medical speech-to-text APIs in 2026
Compare medical terms, drug names, dosage accuracy, BAA access, features and total price.
Practical guidance for clinicians who code, healthtech startups and healthcare AI teams choosing, testing and operating medical speech-to-text.
Start with the clinical errors, operational requirements and product constraints that can change the decision.
Compare medical terms, drug names, dosage accuracy, BAA access, features and total price.
Understand WER, medical-term error, drug-name error and dosage F1—and why one number is not enough.
Learn what “who spoke when” means, why clinical conversations are difficult and how to test it.
Connect implementation choices to privacy, deployment and the real clinical workflow.
Verify the BAA, data path, retention, safeguards and product behavior before sending PHI.
Use the checklist →Inspect the open weights, runtime results, license and deployment path for omi-medical-edge-1.
Explore the open model →Move from your own audio to the playground, docs, API, benchmark or open deployment path.
Choose a starting point →Omi publishes the board, methods, model work and caveats so a shortlist can become an independent test.
Compare overall words, medical terms, drug names and dosages across a sealed 1,513-clip set.
Explore the benchmark →Review measured accuracy, packaging, privacy, best fit and limitations provider by provider.
Compare APIs →Dated model tests and benchmark changes—not a feed of rewritten AI news.
Read the updates →Test the complete medical API with 25 included audio-hours every month.