Used by teams worldwide
Qualitative research drowns in audio.
You need every interview turned into clean, labeled text before analysis can start.
Hours of playback for one quote
You waste time replaying recordings to confirm who said what and when. CATT timestamps every speaker turn so you can jump straight to the moment.
Manual transcription stalls coding
Waiting on transcripts or cleaning rough ASR output delays your codebook and theme building. CATT delivers accurate text you can code immediately.
Speaker confusion in groups
Multi-speaker sessions blur together without labels. CATT separates speakers in focus groups and IDIs so your analysis stays precise.
How it works
From recording to transcript in three simple steps
Upload your recordings
Drop in audio or video from focus groups, IDIs, or usability sessions. Or send a Zoom, Meet, or Teams recording.
Get labeled, timestamped transcripts
CATT transcribes each speaker, adds timecodes, and supports 99+ languages.
Export and analyze
Download TXT, SRT, or VTT. Import into your coding tool or pull verbatim quotes straight from the transcript.
Your toolkit
The best tools for your workflow, ready to use for free
Interview Transcription
Transcribe interviews with clear speaker separation
Audio to Text
Convert any audio file to accurate text in seconds
Meeting Transcription
Transcribe meetings with speaker labels and action items
Video to Text
Extract text from any video file automatically
Frequently asked questions
Everything you need to know
Yes. CATT uses speaker diarization to separate and label multiple speakers. You can edit speaker names after transcription.
CATT supports 99+ languages. You can transcribe multilingual studies in one account.
CATT transcribes with 99%+ accuracy on clear audio. You still get timestamps and speaker labels for fast quote checking.
You can export TXT, SRT, and VTT. These formats work with common qualitative analysis tools and word processors.
Yes. You can upload recordings from Zoom, Google Meet, and Microsoft Teams. CATT also offers meeting bots for live transcription on those platforms.
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