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What people transcribe

Monthly production numbers from a transcription service: what gets sent, how long it is, how fast it comes back.

The last 30 days, in numbers

Refreshed 2026-10-28. Aggregates only; no recording, transcript or account is identifiable. Method on how we test.

Recordings transcribed3,332
Audio hours2,490
Median recording12.1 minutes
One in ten longer than133 minutes
Longest recording23.2 hours
Turnaround, one hour of audio (median)3.1 minutes
Turnaround, one hour of audio (nine in ten within)17.5 minutes
Languages detected65
Recordings from people not signed in52 %

Languages

Detected by the engine, not declared by the person. Codes are ISO 639-1.

LanguageRecordings
en1,314
fa322
tl165
es155
hi88
pt68
fr61
ru60
zh53
de44

File types people send

ExtensionRecordings
.m4a619
.mp3538
.mp4284
.wav237
.opus122
.webm56
.flac49
.mov38

Where recordings come from

Uploads, links to the person's own cloud storage or a public feed, the browser recorder, and the API.

SourceRecordings
upload1,876
url1,233
api195
recording28

Use these numbers

Quote them with the date. They change monthly; the page keeps the current window and nothing else, on purpose. If you need a longer series for a story, write to contact@whipscribe.com.

Related measurements

How often the engine invents text, by language: hallucination study. Accuracy and speed on public test sets: benchmark. Method: how we test.

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