Research interviews, searchable and quotable.
Turn user interviews, usability tests, and focus groups into speaker-labeled transcripts you can search across sessions — with verbatim quotes and timestamps for your report, 99 languages, and private transcription.
146,086 minutes transcribed across 3,787 recordings · first transcript free, any length · ~2 min per hour of audio · 99 languages · speaker labels on every file · private, never used for training
- 146,086 mintranscribed across 3,787 recordings since April 2026, every field
- ~2 minper hour of audio, measured on production
- 99languages, speaker labels on every one
At a glance
- Field
- User research
- Transcribed here
- 146,086 minutes across 3,787 recordings site-wide since April 2026; this field is not tracked separately yet
- Turnaround
- About 2 minutes per hour of audio; most files under a minute
- Input
- Any audio or video file, YouTube, podcast or RSS link; up to 10 hours or 5 GB
- Output
- Speaker labels, word timestamps, summary, AI chat; TXT, SRT, VTT, DOCX, JSON
- Languages
- 99, with automatic detection
- Privacy
- Private servers, no third-party AI, never used for training, delete any time
- Price
- First transcript free at any length; second $0.99; then credit packs from $8 for 1,000 minutes, never expire
Built for User research
Four things that matter for interview analysis.
Researcher vs participant, labeled
Diarization splits every session into speaker turns. Rename to Researcher and Participant (or P1–P6 for a focus group); then pull everything one person said for coding and quotes.
Search across every session
A round of interviews becomes searchable text. Grep a feature, a pain point, or a competitor across all sessions and jump to the exact moment — theme-spotting without scrubbing recordings.
Verbatim quotes with timestamps
Per-word timing in every transcript. Copy an exact quote for your report and cite the moment, or export SRT/VTT to clip a highlight reel for the readout.
Export to your analysis tool
Plain text, DOCX, SRT, VTT, and JSON. Drop transcripts into Dovetail, a spreadsheet, or your affinity board — the analysis and coding stay yours; we hand you clean text.
How it works
Drop it, read it, export it.
Drop or paste
A file, a YouTube link, a podcast link or an RSS feed. Up to 10 hours or 5 GB.
Read in a minute
Speaker labels, timestamps, a summary and AI chat over the transcript. Click any line to hear it.
Export
TXT, SRT, VTT, DOCX or JSON. Every file stays in your library, deletable any time.
Questions
Research transcription FAQs.
Can it label researcher vs participant?
Yes. Diarization labels each turn; rename to Researcher and Participant (or P1–P6 for a focus group) and search everything one person said.
How does it speed up analysis?
Search a feature or pain point across every session and jump to the moment — theme-spotting without scrubbing audio.
Verbatim quotes with timestamps?
Per-word timing in every transcript. Copy an exact quote and cite the moment, or export SRT/VTT to clip a highlight reel.
Analyze the words, not the recordings.
Your first transcript is free at any length; leave an email to open it. Packs from $8 for 1,000 minutes after that; credits never expire.