AI Transcription for Researchers

Transcribe interviews, focus groups, and field recordings with academic-grade accuracy. Speaker diarization, multi-language support, and timestamped exports for qualitative coding.

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The challenges you face every day

Common pain points for Qualitative Researcher

Hours of interview audio to code

Manual transcription of 50+ interviews can consume 200+ hours that should go to analysis.

Multi-speaker focus groups

Identifying individual speakers in a 6-person focus group is slow and error-prone by hand.

Cross-language field work

Interviews in local languages need transcription AND translation, often doubling the work.

Verifiable quotes for publication

Reviewers want timestamped, verbatim quotes — not paraphrased notes.

Solutions designed for you

Capabilities that map directly to your workflow

Whisper precision mode

Whale mode delivers maximum accuracy for nuanced qualitative interviews.

Speaker Diarization

Auto-label participants in focus groups and multi-speaker interviews.

134+ language support

Transcribe and translate field recordings in one workflow.

Timestamped verbatim exports

Get TXT, DOCX, and JSON exports with timestamps for citation and coding tools.

Batch processing

Upload an entire study's worth of interviews at once with parallel processing.

API for coding tools

Pull transcripts into NVivo, MAXQDA, or custom Python pipelines via REST API.

What you'll get

Outcomes that translate into real time saved

Reclaim hundreds of hours per study

Publish with verifiable, timestamped quotes

Code interviews in your language of analysis, not just the source language

Feed transcripts directly into qualitative analysis software

What peers say

Real stories from professionals in your field

WuZhiZuo turned a 6-month transcription backlog into a 2-week job. My IRB submission was approved with the timestamped transcripts attached.

A Dr. Amara Okafor
Sociology professor

Field interviews in three regional languages, all transcribed and translated in one batch. Game changer for multi-site studies.

L Dr. Liam O'Connor
Public health researcher

We pipe WuZhiZuo transcripts straight into our coding pipeline via API. What took a week now takes an afternoon.

S Dr. Sofia Reyes
UX research lead

Frequently Asked Questions

Answers to the questions your peers ask most

Does WuZhiZuo meet IRB requirements?

Many researchers use WuZhiZuo for IRB-approved studies. We support 30-day auto-deletion, private deployment, and SOC 2 Type II compliance. Check with your IRB for specific data handling requirements.

Can I integrate transcripts with NVivo or MAXQDA?

Yes. Export to DOCX, TXT, or JSON and import directly. The API also lets you build automated pipelines into R, Python, or specialized CAQDAS tools.

How do you handle dialects and regional languages?

Whisper supports 134+ languages and many regional variants. For low-resource languages, use precision mode and a glossary for terms.

Are transcripts verbatim?

Yes. Verbatim mode preserves filler words, false starts, and overlaps. Toggle to clean mode for readable summaries.

Can I redact participant names?

Yes. Use the editor to find-and-replace names before export, or use the API to automate pseudonymization.

AI Transcription for Researchers

Transcribe interviews, focus groups, and field recordings with academic-grade accuracy. Speaker diarization, multi-language support, and timestamped exports for qualitative coding.

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