Convert Catalan audio to text

By the Potok teamUpdated ~2 min read

Send your Catalan audio to the Potok bot on Telegram and the text comes back in the chat. Published tests of others on the earlier large-v2 model, not our measurements, show a word error rate of 7.3 for Catalan. No large-v3 figure was found. Files up to 2 GB work.

Transcribe a 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

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

Key facts

  • Word error rate is the share of words that differ from a correct reference, so a lower number is better.
  • No large-v3 figure for Catalan was found, so the number comes from an older model.
  • A low rate is not a promise for noisy or overlapping speech.
  • Short results arrive as chat text, long ones as a file.

What a transcript looks like

Sample sentence in Catalan
[00:00] Speaker 1: Comencem la reunió. Primer repassarem els resultats de la setmana passada i després planificarem els propers passos.

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
Catalan (Català)Recommendedword error rate 7.3% (large-v2, FLEURS)
Whisper paper
Published tests show a low error rate for this language.
No large-v3 figure was found; the figure is from the earlier large-v2 model.

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. Gather the recordings. Put every Catalan clip in one folder and name them by date or speaker, so you can match the replies to the right files later.
  2. Open the bot. Open @potok_now_bot in Telegram.
  3. Attach each file. Send audio, a voice note, a video or a YouTube link. The limit is 2 GB per file, and the Upload button of the mini app helps with big ones.
  4. Wait for the reply. A short clip is answered in the chat as text. A long recording arrives as a file you can open or forward.
  5. Export what you need. TXT, MD, DOCX, PDF, SRT or VTT. Pick SRT if the text will become subtitles.
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
Reading the 7.3 as a large-v3 resultIt comes from the earlier model, so it may not match the current one.Say which model the figure belongs to.
Sending two voices that overlapOverlapping speech confuses any recogniser.Ask people to speak in turn, or turn speaker labels on.
Skipping namesSurnames and place names are the likeliest errors.Check them against your own notes.
Sending a clip with background musicMusic masks the voice.Send a version without music if you have one.

More

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

Frequently asked questions

Is Catalan supported?

Yes. Its published word error rate of 7.3 is in the good range, although it comes from the earlier large-v2 model.

Why is the figure from an older model?

No large-v3 result for Catalan was found in the public sources we use.

How long can the recording be?

The file can be up to 2 GB. Use the Upload button for the largest files.

Can I get timestamps?

Yes, you can switch them on and export SRT or VTT for subtitles.

Will the text be in Spanish?

No. The transcript stays in the language of the recording.

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. Whisper paper, Table 13 (large-v2 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