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Built for researchers
Transcribe a semester of qualitative interviews in an afternoon. Code, theme, and pattern-analyze across the corpus with AI features built for research workflows.
Try it freeTL;DR
Upload a single interview or a folder of 50. Get verbatim transcripts with timestamps. Run thematic analysis ('Extract Patterns') across the corpus, or pull research-grade quotes per interview. Deletes audio after transcription. Per-language model handles non-English research subjects.
100
files per bulk job
50+
languages supported
3%
WER on clean academic audio
0s
audio retention
What you'll do with it
Phase IV / qualitative interviews
Verbatim text for analysis. Run 'Extract Insights' across all transcripts to find emergent themes.
Interview transcribe →UX research interviews
Drop user-interview recordings, get clean transcripts. Pattern analysis surfaces what every user struggles with.
Audio → text →Focus groups
Speaker ID labels participants. Pull each participant's quotes separately for analysis.
Meeting transcribe →Ethnographic field recordings
Multilingual support handles field recordings in 50+ languages. Translate to English for analysis if needed.
Voice memo → text →Conference / talk recordings
Transcribe and summarize academic talks for the literature review. Faster than re-watching.
Lecture → text →Bulk archival processing
100-file bulk jobs handle a year of fieldwork in a single run. Export to CSV for NVivo / MAXQDA / Atlas.ti.
Bulk upload →Workflow
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1
Get IRB approval that includes the use of an AI transcription service (most do).
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2
Upload interview audio (we delete it after transcription).
-
3
Verify the transcript on a sample, fix any field-specific terms.
-
4
Run 'Extract Patterns' across the full corpus.
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5
Export TXT or DOCX for import into your QDAS tool.
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6
Cite verbatim with timestamps that match the source recording.
Where to start
Start with the researchers flow
Or jump straight to:
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Frequently Asked Questions
Why does the researcher page focus on qualitative workflows?
Research transcription often feeds coding, theme extraction, interview analysis, and evidence review rather than simple note taking.
Can researchers process many interviews?
Yes. Bulk upload is the better path when a project includes many interviews, focus groups, or field recordings.
What should researchers check before uploading sensitive recordings?
They should confirm consent, retention requirements, institutional review rules, and whether automatic transcription is allowed for the dataset.
Last updated: September 19, 2026 · Reviewed and maintained by the Transcript.you team.