Audio to text with timestamps.
Drop a recording — MP3, WAV, M4A, FLAC, OGG, or a link to one — and get back text you can actually use: punctuated, paragraphed and timed to the word, with speakers named in the summary and key quotes.
What you get
What separates a transcript from a text dump.
Punctuation and paragraphs
Raw speech recognition returns an unbroken run of lowercase words. Every transcript here comes back with sentence breaks, capitalisation, and paragraphing, so it reads like written English instead of a stenography exercise.
Every moment findable
Every line carries its timestamp, so in a long interview, panel or roundtable you can jump to any moment and check it against the audio.
Timed to the word
Every word carries its own timestamp, not just the segment. That's what makes click-to-seek work, and what makes SRT and VTT exports line up properly instead of drifting a second late.
Any format you have
MP3, WAV, M4A, AAC, FLAC, OGG, WMA, AMR and more — plus the audio track of any video file. No converting to a supported format first, and no 25 MB ceiling.
Why not just use a free web converter
Free converter vs real transcript.
✗ A typical free online converter
Fine for a short voice note. The limits show up the moment the recording has two people in it or runs past ten minutes.
- Short file caps, then a paywall
- One speaker assumed, always
- No word-level timing
- TXT only, if you're lucky
- Audio often retained and reused
✓ A Whipscribe transcript
Built for recordings that matter: interviews, calls, lectures, field tape.
- Up to 10 hours or 5 GB per file (over 500 MB continues on the upload page)
- Speakers named in the summary and quotes
- Word-level timestamps throughout
- TXT, SRT, VTT, DOCX, JSON
- Never used to train AI
Sample output
Timestamped. Click-to-seek. Exportable.
An interview recording, as it comes back — punctuated and timed.
Export
One transcript. Five clean formats.
Every pack exports all five — no format is held back for a higher tier.
Plain text
De-ummed paragraphs. Ready to paste.
SRT captions
Timed to the speech. Every video editor reads this.
WebVTT
HTML5 player + YouTube uploads.
Show notes
Formatted with chapters and pull-quotes.
Machine-readable
Timestamped text for your own tools.
Pricing
Honest pricing, no surprises.
A pack from $4 (300 minutes) opens the full transcript. After that, no subscription and no auto-renew — every tier is a one-time minute pack, and credits never expire. Buy once, use the minutes whenever you need them.
Casual pack
$4/300 min
5 hours of audio — $0.80 an hour. One-time — credits never expire.
- 300 minutes of audio
- All export formats
- AI chat over the whole transcript
- Executive summary & key quote
Best value
$18/3,000 min
50 hours of audio — $0.36 an hour. Credits never expire.
- 3,000 minutes of audio
- Summary, chapters and key quotes
- All export formats
- AI chat over the whole transcript
Bulk pack
$32/6,000 min
100 hours of audio — $0.32 an hour. Credits never expire.
- 6,000 minutes of audio
- Summary, chapters and key quotes
- API access for batch pipelines
- All export formats
FAQ
Audio-to-text questions, answered.
Which audio formats work?
MP3, WAV, M4A, AAC, FLAC, OGG, WMA, AMR, and most other common formats, plus the audio track of any video file. If it plays, it almost certainly converts.
How accurate is it?
Clean English speech typically comes back with few errors. Accuracy drops on heavy background noise, overlapping speakers, or thick accents — as it does for every engine, human transcribers included. Fixing two words by hand beats fighting a worse model.
How long does it take?
Most one-hour recordings come back in a few minutes. The job runs server-side, so nothing heavy happens in your browser; keep the tab open and the transcript appears there the moment it is ready.
Can it tell speakers apart?
WhipScribe names the speakers in the summary, key quotes and chapters; the transcript is punctuated paragraphs with a timestamp on each, so you can find any moment and check it against the audio.
Is my audio kept?
It is never used to train any model. Audio is processed in our private cloud precisely so it doesn't get handed to a third-party API, and you can hard-delete any file and its transcript from your account.
Related
Related tools and pages.
Drop a recording. Read it in minutes.
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