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.

Guide3 min readUpdated By nawki

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.

Words wrong on a names-heavy dictation, Standard model (lower is better)
Without custom words6.8%
With custom words0.0%

How we measured

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.

Your recordings stay on your PC.

Free to download. Transcribes without an account, without uploads and without the internet.

Download for Windows

Coming soon to the Microsoft Store · Windows 10 and 11