Home›How fast WhipScribe transcribes, measured (27 October 2026)

How fast WhipScribe transcribes, measured

Processing time from the production record, 30 days to 27 October 2026, by recording length, format and country. Every figure is computed from the jobs themselves.

The short answer

In the 30 days to 27 October 2026, a one-to-two-hour recording was transcribed in 3 min at the median (2.1 minutes of processing per hour of audio, 407 recordings); a two-to-four-hour recording in 5 min 2 s (1.89 minutes per audio hour). Longer files process faster per hour, not slower.

Measured on production, 30 days to 27 October 2026: 2,617 finished recordings of a minute or more. Processing time is worker time from first word to full transcript; upload and queue time are not included. Quote with the date.

Processing time by recording length

Recording lengthRecordingsMedian processing90th percentilePer hour of audio (median)Audio transcribed
under 10 minutes88913 s35 s3.6 min61 h
10 to 30 minutes50750 s1 min 54 s2.8 min161 h
30 to 60 minutes4381 min 38 s3 min 7 s2.3 min320 h
1 to 2 hours4073 min5 min 19 s2.1 min569 h
2 to 4 hours2775 min 2 s9 min 32 s1.9 min728 h
4 to 8 hours863 min 30 s16 min 50 s0.7 min445 h
over 8 hours137 min 35 s39 min 54 s0.9 min150 h

A one-hour file is not a one-hour wait. The median is the typical case; the 90th percentile is what one recording in ten waited longer than.

By format

FormatRecordingsMedian lengthMedian processingFile size per hour (median)
link (YouTube, Drive, podcast…)1,10441 min1 min 36 s58 MB
M4A51124 min1 min 9 s58 MB
MP348214 min37 s58 MB
MP423180 min2 min 12 s161 MB
WAV1865 min12 s115 MB
MOV203 min31 s537 MB
OPUS201 min7 s8 MB
OGG204 min19 s59 MB
AAC1332 min1 min 38 s44 MB
WEBM75 min19 s58 MB
MPEG54 min11 s144 MB

Only the audio is transcribed, so a large video costs the same minutes as its soundtrack. Size per hour is what people actually uploaded, not a bitrate table.

Last 7 days

613 recordings, 620 hours of audio, longest 11.44 hours, largest 1.7 GB, 2.54 minutes of processing per audio hour at the median.

Finished: 2,617 of 2,624 recordings of a minute or more in the window (100%); 7 failed, 0 were still running or were deleted before finishing.

By country

CountryRecordingsMedian processing
US79854 s
?24334 s
IN22642 s
PH1491 min 12 s
DE1161 min 49 s
IR971 min 11 s
FR721 min 15 s
GB601 min 36 s
CA581 min 11 s
BR522 min 24 s

Processing happens on our own servers, so the country of the uploader does not change the speed; the column is here to show the spread of who uses it.

Questions

How long does WhipScribe take to transcribe one hour of audio?

Measured on production in the 30 days to 27 October 2026: a recording of 1 to 2 hours took 3 min at the median and 5 min 19 s at the 90th percentile, about 2.1 minutes of processing per hour of audio.

Does a longer recording take proportionally longer?

Per hour of audio it is faster: 1.89 minutes per audio hour for 2 to 4 hour recordings against 2.1 for 1 to 2 hours, because the pipeline splits a long file into pieces that run at the same time.

What is the longest recording transcribed recently?

In the last 7 days to 27 October 2026: 11.44 hours in one file, and the largest upload was 1.7 GB. The stated limit is 10 hours or 5 GB per file.

What does processing time measure?

The time from the moment transcription starts on a worker to the moment the full transcript is written, for finished recordings of at least one minute. It does not include the upload itself, which depends on your connection, or any queue wait.

Is this page updated?

Yes. It is regenerated from the production record on every deploy; this version was measured on 27 October 2026 over the previous 30 days (2,617 timed recordings).

Raw data: /proof/turnaround.json. How long recordings really are: /proof/recording-lengths; how much of them is speech: /proof/speech-share. Public long-file runs with their transcripts: /proof/long-files.

Long or large recording? Start at long recordings or large files; the measured limits and prices are on the fact sheet.