Qualitative transcription
Free research transcription with speaker-aware output.
Upload interviews and focus groups. Get speaker-labeled text with timestamps, clean jargon, anonymize identifiers, export for your analysis toolchain.
- Speaker detection
- Anonymize in editor
- TXT export
- Free to try
Upload interview or focus group audio
One-on-one interviews, group discussions, usability studies, upload and get structured text.
File Transcribe provides free research transcription for qualitative interviews, focus groups, and usability studies, with speaker-labeled output built for academic and market research workflows. Upload interview or focus group audio on this page and get structured text with timestamps you can clean, anonymize, and export for NVivo, ATLAS.ti, or spreadsheet coding. Separate participant voices automatically, replace real names with pseudonyms in the editor, and tie quotes back to exact moments in the recording. Whether you run semi-structured interviews, ethnography projects, or oral history work, the same upload-first workflow delivers a fast first pass on field audio. Try free with no account required.
Research
Who uses this
- 1
Semi-structured interviews
Accurate first pass for thematic coding and quote extraction without manual typing from audio. Timestamps tie every quote to a specific moment for verification during analysis. Export TXT for import into NVivo, ATLAS.ti, or your qualitative analysis pipeline.
- 2
Focus groups
Separate multiple participant voices in group discussions, critical before thematic coding begins. Review and rename speaker labels to Participant A, B, C for anonymized analysis. Ask participants to avoid talking over each other when possible for cleaner attribution.
- 3
Usability studies
Timestamp participant feedback tied to task moments in product and UX research sessions. Search the transcript for confusion points, feature requests, and verbatim reactions. Share de-identified excerpts with product teams after anonymizing in the editor.
- 4
Oral history
Long-form recordings with editable output for archival work and narrative analysis. Handle multi-hour interviews in a long-form editor designed for extended review sessions. Export formatted text for publication, archives, and collaborative coding with research partners.
How it works
- 2
Review speakers
Fix labels, anonymize identifiers before sharing with collaborators. Replace real names with Participant A/B/C or study-specific pseudonyms.
- 3
Export for analysis
Download TXT for your qualitative analysis software. Review terminology and jargon corrections before importing into your coding workflow.
What you get
Speaker detection
Critical for focus groups, separate voices before coding begins. Rename labels to pseudonyms in the editor before sharing transcripts with collaborators.
Timestamps
Tie quotes back to moments in the recording for verification during analysis. Every coded excerpt can reference an exact point in the source audio.
Anonymization-friendly
Replace real names with pseudonyms in the editor before export. Search and replace identifiers across the full transcript for consistent de-identification.
TXT export
Import into NVivo, ATLAS.ti, Excel, or your custom analysis pipeline. Plain text export works with most qualitative research software workflows.
Guide
Qualitative research needs speaker-aware text
Researchers transcribe interviews and focus groups to code themes, quote participants accurately, and share findings. Automatic speaker labels and timestamps reduce manual work compared to typing from audio.
File Transcribe outputs structured text you can clean in the editor and export for your analysis toolchain.
Research workflows
- One-on-one interview transcription
- Focus groups with multiple speakers
- Usability study recordings
- Oral history and ethnography projects
Why researchers use File Transcribe
- Speaker detection, Separate voices in group discussions.
- Timestamps, Tie quotes back to moments in the recording.
- Editable output, Fix jargon and anonymize identifiers before analysis.
- TXT export, Import into qualitative analysis software or Excel.
Tips for cleaner research transcripts
- Use external mics when possible; room audio reduces accuracy.
- Ask participants to avoid talking over each other in focus groups.
- Replace real names with pseudonyms in the editor before sharing.
- Break very long sessions into parts if you hit file duration limits.
Get started
Upload your interview or focus group recording. Sign in to save transcripts and search your research library.
Related guides
- Transcribe research interviews
- Interview transcription workflow guide
- Interview Transcription for Journalists
- Lecture Transcription for Students
- Medical Transcription
- Transcription guides
External links
Related guides
- Transcribe research interviews
- Interview transcription workflow guide
- Interview Transcription for Journalists
- Lecture Transcription for Students
- Medical Transcription
- Transcription guides
External resources
FAQ
Common questions
Can I export to NVivo or ATLAS.ti?
Yes. Export TXT and import into your qualitative analysis software. Fix speaker labels and anonymize identifiers in the editor before import for cleaner coding sessions.
How do focus groups with overlap work?
Ask participants to avoid talking over each other when possible. Review and fix speaker labels after upload, overlapping speech may require manual correction during your review pass.
Should I anonymize before sharing?
Yes. Replace real names with pseudonyms in the editor before exporting to collaborators. Search and replace location names, employer names, and other identifiers for consistent de-identification.
What audio quality works best for research?
External mics and quiet rooms produce cleaner first drafts. Phone recordings work for pilot interviews, review terminology carefully and verify ambiguous lines against timestamps.
Can I use this for academic thesis research?
Yes. Many graduate students use AI transcription for a fast first pass, then manually review and correct transcripts before coding. Always follow your IRB and department guidelines for data handling.
Is research transcription free to try?
Yes. Upload on this page within guest limits, no signup required. Sign in for a saved interview library, search across sessions, and plan-based retention for longitudinal studies.
Related use cases
Transcribe your research interviews free
Upload interviews or focus groups, get speaker-labeled text ready for coding and analysis.