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Most transcription tools want a monthly plan for a task you might do twice a year. transcribe.mov sells minutes instead: buy a pack, use it whenever you like, and nothing renews. Files up to 10 minutes are free without an account; a free account adds 30 free minutes. The people who buy here are agencies, newsrooms, universities, non-profits and law and medical practices – and most of them start with the smallest pack.
Buy minutes, not months: 120 minutes for $5.90, 300 for $10.90, 600 for $19.90 – one payment, no auto-renewal.
Minutes never expire: transcribe one interview now and the rest next year.
Nothing to cancel: there is no plan, so there is nothing to remember to cancel and no card on file.
Same features as the big plans: speaker labels, SRT/VTT subtitles, 55+ languages detected automatically, files up to 2 hours and 4 GB.
Try it first: up to 10 minutes free without an account, 30 free minutes with one.
Free up to 10 minutes without an account · 30 free minutes with one.
Supported formats: MP3, M4A, WAV, MP4, MOV, WebM, OGG, FLAC · Prices
There is no plan to cancel: 27 % of customers return, typically after about a month, when the pack runs out – customers in 66 countries, nothing charged in between.
Facts updated August 2026
On OpenAI’s published benchmark of read speech (Common Voice 15) the large-v3 model makes about one error in 11 words in English, one in 21 in Spanish, one in 18 in German, one in 17 in Portuguese and Russian, one in 9 in French. On clean studio recordings (FLEURS) it is roughly a third better. Independent testing on real meetings and calls (Open ASR Leaderboard, 2026) puts English at 7–11 % word error. transcribe.mov runs the faster “turbo” build of the same model, which is a few tenths of a point behind on English. Real files are harder than benchmarks: background noise, cross-talk and strong accents add errors, and a wrong language guess ruins a transcript.
Sources: OpenAI large-v3 release chart (Common Voice 15, FLEURS), Open ASR Leaderboard paper 2026-03-30.
One minute of pack credit transcribes one minute of audio or video, rounded up per file. A 47-minute recording uses 47 minutes; a 90-second memo uses two. The 120-minute pack is two hours of material at $2.95 per hour, the 300-minute pack five hours at $2.18, the 600-minute pack ten hours at $1.99.
More than half of all purchases here are the smallest pack, and a first purchase is usually a trial: buyers who come back tend to take the 300 or 600 pack the second time. About a quarter of buyers buy again, most of them within a month or two of the first pack.
Payment goes through Stripe – card, Link, PayPal and the usual European methods such as iDEAL and Bancontact – in US dollars or euros at the same number. Stripe emails a receipt for every purchase; an invoice for your records is available on request by email.
The free 10 minutes without an account are a real test on your own recording, not a teaser: same model, same output formats. The 30 free minutes on sign-up add speaker labels and GPU speed. Roughly nine in ten files uploaded here are under 12 minutes, so many people never need a pack at all.
Prices per file on the smallest pack (120 minutes for $5.90); larger packs cost less per hour.
10-minute voice memo ......... free without an account 25-minute customer call ...... $1.23 (25 of 120 minutes) 60-minute interview .......... $2.95 (60 of 120 minutes) 90-minute lecture ............ $4.43 (90 of 120 minutes) 2-hour board meeting ......... $5.90 (the whole pack)
The same 60-minute interview costs $2.18 on the 300-minute pack and $1.99 on the 600-minute pack.
None. Packs are one-time payments through Stripe; nothing renews, no card is kept for future charges, and nothing is charged again unless you buy another pack yourself.
No. Minutes stay in your account until you use them – there is no monthly reset and no expiry date.
Between $2 and $3 depending on the pack: 120 minutes for $5.90 ($2.95 per hour), 300 for $10.90 ($2.18), 600 for $19.90 ($1.99). A one-hour interview costs about $2.95 on the smallest pack.
Yes. Stripe emails a receipt for every purchase; if you need an invoice for your records, email contact@transcribe.mov and you will get one.
Monthly plans make sense if you transcribe every week. If you transcribe occasionally, a $5.90 pack replaces a plan of $10–30 a month that you would pay whether you use it or not – and there is nothing to cancel.
Yes – 30 % off every pack for non-profits, educators, researchers and students. Email contact@transcribe.mov from your organisation’s address and you will have your discount code within a day.
Files up to 10 minutes and 50 MB without an account, transcribed in the standard queue, with TXT, SRT and VTT downloads. A free account adds 30 free minutes, GPU processing, speaker labels, files up to 2 hours and 4 GB, and a history of your transcripts.
Yes. The checkout shows euros to buyers in the euro area – €5.90, €10.90, €19.90 – and US dollars elsewhere; the packs are the same.
transcribe.mov uses Whisper large-v3 (the turbo build) – the open model that OpenAI benchmarks per language. On read speech it makes roughly one error in 11 words in English and one in 18–21 in Spanish, German, Portuguese or Russian; clean studio audio is better, noisy or overlapping speech is worse, and independent tests of real meetings land around 11 % word error. You get the whole file, verbatim, with punctuation and speaker labels (registered users); you fix names and terms in the editor.
Record close to the speaker in a quiet room – one voice at a time transcribes best. Upload the original file; don’t re-encode or compress it (phone .m4a and camera .mov are fine as they are). Clear speech matters more than file quality: accents and cross-talk cost more accuracy than bitrate ever will. Silence and music are filtered automatically.
For a short clip you can. Gemini takes audio and video uploads, but its free tier stops at 10 minutes of audio or 5 minutes of video per prompt and needs a Google sign-in (3 hours of audio with a paid AI Pro plan). ChatGPT has no documented audio or video transcription feature: it may try on an uploaded file, and OpenAI itself says the analysis "may not analyze the entire video or accurately interpret its audio". In both, timestamps are written by the language model, not measured, so they drift, and there are no speaker labels on uploaded files. Here the file is transcribed in full and verbatim by a speech model, the SRT/VTT timing comes from the audio itself, speakers are labelled, files up to 10 minutes need no account at all, and your files are never used to train anything.
Facts updated August 2026
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