What's the best transcription API for clinical research interviews?

One accurate on medical terminology with structured output. Universal-3.5 Pro with Medical Mode reaches a 3.2% Missed Entity Rate and adds entity and topic detection for analysis.

Can it output structured data for coding?

Yes — entity detection (50+ types) and topic detection run alongside transcription.

Does it support international studies?

Yes — EU data residency keeps data in the EU at the same price; Medical Mode covers EN/ES/DE/FR.

Is research participant data protected and BAA-eligible?

AssemblyAI is a business associate under HIPAA and signs a standard BAA; PHI redaction; SOC 2 Type 2.

How much does clinical research transcription cost?

$0.15/hr Medical Mode add-on on Universal-3.5 Pro.

Clinical research

Research-grade transcription for clinical interviews and trials

Clinical research depends on accurate records — interviews, trial visits, adverse-event reports, all dense with medical terminology. Universal-3.5 Pro with Medical Mode delivers a 3.2% Missed Entity Rate plus entity detection and PHI redaction, so your analysis starts from data you can trust.

Try Medical Mode free on your audio Read the docs

Accurate source data for analysis and compliance

Missed Entity Rate 3.2%

Missed Entity Rate on clinical conversations with Medical Mode.

vs. base model ~20%

Fewer missed medical entities than the base model without Medical Mode.

vs. base model 87%

Fewer medical entity errors than the base model.

Benchmarked providers #1

Lowest Missed Entity Rate vs. Deepgram, Speechmatics, AWS, and Google.

See the medical benchmarks

Activation

Transcribe and structure research audio

One request returns the transcript plus detected entities — structured data ready for coding and analysis.

import assemblyai as aai

aai.settings.api_key = "YOUR_API_KEY"

# Clinical research: interviews, adverse events, trial terms
config = aai.TranscriptionConfig(
    speech_models=["universal-3-5-pro", "universal-2"],
    domain="medical-v1",
    entity_detection=True,
    keyterms_prompt=["adverse event", "placebo", "randomized", "informed consent"],
)

transcript = aai.Transcriber().transcribe("./study-interview.wav", config)
print(transcript.text)

Terminology-dense audio

Drug names, conditions, and protocol terms captured across long interviews.

Universal-3.5 Pro

Structured for analysis

Entity detection and topic detection turn transcripts into analyzable data.

Speech Understanding

Compliant handling

PHI redaction, BAA available, EU data residency for international studies.

Medical Mode

Common questions

: One accurate on medical terminology with structured output. Universal-3.5 Pro with Medical Mode reaches a 3.2% Missed Entity Rate and adds entity and topic detection for analysis.
: Yes — entity detection (50+ types) and topic detection run alongside transcription.
: Yes — EU data residency keeps data in the EU at the same price; Medical Mode covers EN/ES/DE/FR.
: AssemblyAI is a business associate under HIPAA and signs a standard BAA; PHI redaction; SOC 2 Type 2.
: $0.15/hr Medical Mode add-on on Universal-3.5 Pro.
: Add domain: "medical-v1".

Try Medical Mode free on your audio

Run your own study audio through Medical Mode in the playground — one parameter, structured output. Free to start, no credit card required.

Try Medical Mode free