Danish speech to text: one published source

By the Potok teamUpdated ~2 min read

Danish speech to text in Potok is a recommended language. Published tests of the large-v3 model report a word error rate of 12.57 for Danish, from a single paper, not from our own measurement. Send the audio to the Telegram bot and expect a text in Danish.

Transcribe a recording

Send your voice message, audio or video to @potok_now_bot on Telegram and the text comes back in the chat.

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Files up to 2 GB · export to TXT, MD, DOCX, PDF, SRT and VTT · speaker labels and timestamps · about 30 languages

Key facts

  • Only one source reported Danish, so it is a single reading rather than a consensus.
  • Danish ends its alphabet with three extra vowel letters, and names that contain them are worth checking.
  • 12.57 means about one word in eight may differ from a human reference.
  • Speaker labels are numbers.

What a transcript looks like

Sample sentence in Danish
[00:00] Speaker 1: Lad os begynde mødet. Først gennemgår vi sidste uges resultater, og derefter planlægger vi de næste skridt.

Meaning in English: Let's start the meeting. First, we'll review last week's results, then plan the next steps.

Written by us to show the script and the layout of a transcript. It is not the output of the recognition engine.

Published quality

Quality for this language
LanguageVerdictPublished resultNotes
Danish (Dansk)Recommendedword error rate 12.57% (large-v3, FLEURS)
Canary-1B-v2 paper
Published tests show a low error rate for this language.

These numbers come from published tests by other people, not from tests by Potok. Your own audio, with its noise, accents and microphone, will differ.

How to do it

  1. Choose the clip. Pick the part with your main speaker and moderate noise.
  2. Open the bot. Go to @potok_now_bot and send voice, audio or video.
  3. Compare. Read the first minutes and mark any wrong words.
  4. Large recording. Use Upload for files up to 2 GB.
  5. Export. TXT and DOCX for text, SRT and VTT for subtitles.
  6. Keep the source audio. Store the original beside the transcript so you can replay doubtful lines.
What Potok can do
FeatureDetails
Where it worksTelegram bot @potok_now_bot; large files go through the bot's mini app
File sizeUp to 2 GB
ExportTXT, MD, DOCX, PDF, SRT, VTT
Speakers and timeSpeaker labels and timestamps can be switched on
LanguagesAbout 30 languages with good published results; a few more with warnings
TranslationThe transcript is not translated into another language
DictationA separate Potok desktop app lets you dictate text into any program; it recognises Russian speech

Common mistakes

Common mistakes and how to fix them
MistakeWhat happensFix
Taking one paper as the whole truthOther tests could differ.State that it is one published result.
Skipping the special lettersNames may be spelled with the wrong vowel.Check them manually.
Recording on a laptop mic across a tableDistance raises errors.Move closer.
Expecting the text in EnglishThe bot does not translate.Translate it as a separate task.
Assuming a clear radio voice and a mumbled call score the sameThe single published figure does not describe casual speech.Sample the kind of audio you actually have.

More

See the full list of languages, the tools and the glossary.

Frequently asked questions

Is Danish recommended?

Yes, with a published word error rate of 12.57 for large-v3.

Why only one source?

We found only one paper reporting Danish, so we cite just that one.

Do dialects matter?

The paper does not break results down, so test your own clip first.

Can I send video?

Yes, video and audio files are accepted, up to 2 GB each.

Does it show who is speaking?

Only as numbered speakers, which you can rename in the export.

What should I check first in the Danish text?

Names with the three extra vowel letters, numbers, and any word the speaker swallowed, since those are the likeliest slips.

Sources

Each source was opened by hand on the date shown. Pages change, so open the source if a detail matters to you.

  1. Word error rate (Wikipedia), Wikipedia · checked
  2. FLEURS speech dataset (Google, Hugging Face), Hugging Face · checked
  3. Canary-1B-v2 paper, Table 11 (Whisper large-v3 on FLEURS) · checked

Try it on your own recording

Send your voice message, audio or video to @potok_now_bot on Telegram and the text comes back in the chat.

Open @potok_now_bot in Telegram