How to get more accurate transcripts
Most transcription errors are decided before you press Transcribe: by the microphone, the room and the settings. Here are the twelve things that make the biggest difference, with our measurements where we have them.
When you record
1. Bring the microphone close
Distance is the biggest factor. A microphone 20 cm from a mouth hears the voice; one across the room hears the room. For interviews, a clip-on or a phone placed near the speaker beats a laptop at the end of the table.
2. Use a headset on calls
It keeps the other side's voices out of your microphone, so nothing is recorded twice with an echo.
3. Pick the quietest room you can
Soft rooms (curtains, carpets, bookshelves) echo less than glass meeting rooms. Turn off fans and close windows.
4. One speaker at a time
Overlapping speech is where every system fails. A friendly "let's take turns" at the start costs nothing.
5. Say names and terms clearly once
Ask people to introduce themselves, and spell unusual names at the start. It helps you check the transcript, and it helps you set up custom words.
When you transcribe
6. Choose the language yourself
Automatic detection listens to the opening. A short clip, a mixed-language greeting or music can mislead it.
7. Use the Accurate model for hard audio
In our tests, Whisper large-v3-turbo (Accurate) made a third to nearly half fewer mistakes than Whisper small (Standard) in every condition. With loud background noise at 5 dB SNR, Standard got 3.6% of words wrong and Accurate 2.1%.
8. Give it your names and terms as custom words
On a 118-word dictation full of unusual names, custom words took the Standard model from 6.8% of words wrong to 0.0%, and Accurate from 1.7% to 0.8%. Custom words are a Pro feature, in the import dialog and Settings › Transcription.
9. Say how many people speak
It makes speaker detection more reliable, and a transcript with the right speakers is easier to check.
After the transcript is ready
10. Fix a name once, everywhere
Find and replace (Ctrl+H) corrects every instance of a misheard name in one go.
11. Slow down for the hard passages
Play a difficult stretch at 0.75x (Ctrl+[) and it often becomes clear.
12. Check what matters against the audio
All automatic transcription can mishear words and, rarely, write words that were not said, especially during silence or music. Quotes, figures, names and decisions deserve one click on the line to hear it.
What does not help much
- Converting the file first. Transcribe reads common formats directly; every conversion step can only lose detail.
- Turning the volume up afterwards. It makes noise louder too. A better recording beats any repair.
- Choosing the largest model for clean audio. On clear speech, Standard is already good and many times faster. Save Accurate for the recordings that need it.
Questions
Why does the transcript misspell names?
Names are rare words: the model has seldom or never heard them. Custom words tell it what to expect; find and replace fixes the ones that slip through.
Why does text appear during silence?
Speech recognition models occasionally write words during long silence, music or noise. Check such lines against the audio and fix them in the editor.
What is a good word error rate?
On clean, clear speech, a good model gets a few words in a hundred wrong or fewer. Meetings with crosstalk and weak microphones can be several times worse. Our measurements.
Does a better microphone really matter?
More than anything else here. The model can only transcribe what the recording contains.
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