User interviews
Doubts and hedges are visible in the text, not just in the recording.
UX researchers and marketers
Hesitations, pauses and “well, I guess” are data. The transcript keeps them.
Doubts and hedges are visible in the text, not just in the recording.
Every word is timestamped, so it's easy to find the moment someone got stuck.
The user's exact words with a timecode for your team presentation.
An hour-long interview transcribed in minutes; you only review the doubtful spots.
User: Is this… (pause 4 s) is this a button or just a picture? (laughs)
A regular transcript gives you tidied-up text. In a real conversation, the meaning is often in what happens between the words.
Correct a word the same way twice, and it gets fixed automatically in future recordings: names, terms, method names.
Your terms are fed to the speech recognition model in advance, so it gets them wrong less often.
Based on your decisions, the service learns which short voice overlaps to mark as talking at the same time.
With your consent, the service remembers your voice and recognizes you right away in new recordings. Other speakers' voices are not stored.
Upload a recording and see how much of it a regular transcript would have lost.
Try it free