Buyer’s guide

Best medical speech-to-text APIs in 2026.

The best clinical ASR is not simply the model with the lowest overall word error. Medical terms, drug names, dosages, privacy and workflow features each need their own test.

Updated 10 August 2026 · based on 1,513 clinical clips
Test clinical languageGeneral WER can hide mistakes in diagnoses, medicines and anatomy.
Score dosage separatelyA changed number or unit can matter more than several ordinary word errors.
Check the productBAA access, retention, speakers, vocabulary and price decide whether accuracy is usable.

What “best medical ASR” should mean

Speech recognition leaderboards usually report word error rate (WER): the percentage of inserted, deleted or substituted words. That is useful, but a clinical transcript can have a respectable WER while still changing a drug name or dose.

We therefore rank systems with three separate views: overall WER, medical-term WER (M-WER), and dosage-event F1. Drug-name error is reported independently as well. This makes the trade-off visible instead of hiding it inside one average.

System
M-WER ↓
Drug error ↓
Dosage F1 ↑
Omi medical API
0.94%
0.00%
97.7%
ElevenLabs Scribe v2
0.97%
0.00%
85.4%
Google Chirp 3
1.11%
1.13%
80.7%
AssemblyAI Universal-3.5 Pro Medical
1.43%
1.13%
81.4%
Deepgram Nova-3 Medical
2.19%
2.26%
86.8%
Same sealed 1,513-clip clinical benchmark. Omi and ElevenLabs are statistically tied on M-WER; Omi’s dosage result is significant against every tested competitor under paired bootstrap. See the full methodology before drawing conclusions.

1. Medical terminology

Use encounters that contain diagnoses, anatomy, abbreviations and medications. A dedicated M-WER score tells you how often the system changes the vocabulary clinicians care about. Do not infer medical accuracy from a general podcast or meeting benchmark.

2. Drug names and dosage

Drug-name error should be visible as its own metric. Dosage testing should align canonical number-and-unit events and report precision as well as recall, so invented doses are penalised rather than disappearing from the score.

3. Your actual workflow

Prerecorded consultation transcription, live dictation and far-field meetings are different products. Ask whether the published result covers your audio shape, language and speaker count. Test your own audio before signing a larger contract.

4. Privacy and control

For healthcare, check where audio is processed, how long it is retained, whether customer data is used for training, and how a BAA or DPA is signed. If audio must remain inside your environment, an open model or supported private deployment may matter more than a hosted benchmark lead.

5. Total product cost

Compare the actual configuration you need. Speaker diarization, vocabulary, language support, long-audio jobs and compliance may be bundled, metered separately or available only on enterprise plans.

Our practical recommendation

Shortlist two or three systems using the benchmark, then run a blinded test on your own representative audio. Score medical terms and dosage before reviewing style or punctuation.

Where Omi fits

Omi is designed for medical transcription and offers both a hosted API and an open edge model. The hosted API starts with 25 free audio-hours each month, includes a self-serve BAA, and is priced at $0.20 per audio-hour beyond the free allowance.

Compare Omi with a specific provider, inspect the complete medical speech-to-text benchmark, or choose the hosted API or open model.

Test the shortlist on your audio.

Start with 25 free audio-hours. No card required.

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