Transcription for focus groups
Transcribe focus groups to text automatically with AI. Fast, accurate and in 60+ languages. Try it free without signing up.
Focus groups
Why transcribe focus groups
Transcribe focus groups and group interviews for market research, user studies or academic research. With a good recording you get the text in minutes and can focus on the analysis.
How to record a focus group so it transcribes well
- Microphone in the middle: an omnidirectional or boundary microphone in the center of the table, or two recorders at either end.
- A quiet room without echo; avoid cafés and open-plan spaces.
- Turn-taking: ask at the start that people don't talk over each other. It's the biggest source of errors.
- Remotely, record the video call (Zoom, Teams or Meet) and ask each participant to use a headset.
- Do a 30-second sound check before you start.
How to transcribe it
- 1Upload the full recording (up to 5 hours per file).
- 2Choose the language and press Transcribe.
- 3Review while listening: add each participant's code (P1, P2…) at the start of their turns.
- 4Anonymize names and identifying details and download as Word for analysis.
Identifying who is speaking
For now the transcript doesn't label each participant automatically, which matters in a group of 6–8 people. Three tricks help a lot:
- Have the moderator name whoever gets the floor ("Laura, what do you think?").
- Have each participant say their name or code the first time they speak.
- Have an assistant note the speaking order with the time; with the transcript's timestamps it's quick to cross-reference.
From text to analysis
Download the Word file and import it into NVivo, ATLAS.ti or MAXQDA for coding. If the group is part of a dissertation or thesis, also follow the research transcription guide (consent, anonymization and how to explain it in your methodology). For one-to-one interviews, see interview transcription.
3 steps
How to transcribe in 3 steps
- 1
Upload your file
MP3, WAV, M4A, MP4, WhatsApp voice notes… up to 5 hours and 2 GB.
- 2
AI transcribes it
Our GPU servers turn speech into text with timestamps.
- 3
Review and download
Edit anything you want and export to Word, TXT or subtitles.
Why Sonorarium
Everything you need to turn speech into text
Human-level accuracy
We run Whisper large-v3 turbo on GPUs, one of the most accurate speech recognition models available.
60+ languages
Automatic language detection, or pick it yourself. Great for English, Spanish, Portuguese and many more.
Really fast
An hour of audio is usually transcribed in just a few minutes.
Export to any format
TXT, Word (DOCX), SRT and VTT subtitles, or JSON with timestamps.
Built-in editor
Listen to the audio in sync with the text and fix any word before downloading.
Private by default
Files are encrypted in transit, automatically deleted after 7 days and never used to train models.
FAQ
Frequently asked questions
How long does it take to review a one-hour focus group?
The transcript is ready in minutes. Reviewing takes longer than a one-to-one interview because you need to attribute contributions; with the tricks above, one to two hours is usually enough.
Are overlapping voices transcribed well?
It's the weak point of any automatic transcription: when two people talk at once, one of the voices may be lost. That's why asking for turn-taking matters so much.
Is it safe for participant data?
Files are transferred encrypted, deleted after 7 days and never used to train models. Still, collect informed consent and anonymize the transcript before sharing it.
How do I transcribe focus groups to text?
Upload the file above, choose the language (or leave it on automatic) and click Transcribe. In a few minutes you'll have the text with timestamps, ready to copy or download.
Can I transcribe focus groups for free?
You can try it free with 15 minutes, no sign-up. After that, buy minutes whenever you need them — no subscription and no expiry.
Which formats can I download the transcript in?
TXT, Word (DOCX), SRT and VTT subtitles, and JSON with timestamps.
Is my data safe?
Your files are transferred encrypted, deleted automatically after 7 days and never used to train AI models.