Free Thai transcription: check a tool before you rely on it

By the Potok teamUpdated ~2 min read

Free Thai transcription calls for caution and a short clip test. Published tests of others put the character error rate at 11.5 on the earlier large-v2 model, and a third-party turbo run gave about 13.4. Potok users should read every Thai transcript against the audio.

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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

  • Caution: Thai is flagged because OpenAI itself names it as a language where the faster turbo variant gets worse.
  • Thai is written without spaces, so quality is reported per character, not per word.
  • The 11.5 is from large-v2 and was made by others; it is not our measurement.
  • Sentence breaks are not marked by spaces, so the text may run on.

What a transcript looks like

Sample sentence in Thai
[00:00] Speaker 1: เรามาเริ่มประชุมกันเลย ก่อนอื่นเราจะทบทวนผลลัพธ์ของสัปดาห์ที่แล้ว จากนั้นจะวางแผนขั้นตอนต่อไป

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
Thai (ไทย)Use with carecharacter error rate 11.5% (large-v2, FLEURS)
Whisper paper, Whale paper, Whisper turbo discussion
Published tests show a higher error rate for this language. Check a short sample first and plan to proofread.
Thai is written without spaces, so quality is reported as a character error rate. OpenAI itself names Thai as a language where the faster turbo variant gets worse, and a third-party turbo run gave about 13.4.

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 a clear clip first. Start with a slow, close-microphone sample, and move to a messier one later.
  2. Open the bot. Open @potok_now_bot in Telegram and send the clip as a voice message, an audio file or a video.
  3. Count characters. Mark wrong, missing or extra characters rather than words, and divide by the length of the text.
  4. Check tone and vowel marks. Compare marks on a handful of words against the audio, since a wrong mark changes the word.
  5. Insert breaks. If the result runs together, add spaces where sentences end before you share it. Files up to 2 GB are accepted for longer recordings.
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
Trusting the text as it standsThai is a flagged language here, so slips are more likely.Plan a complete read-through.
Counting wordsNo spaces mean the count is meaningless.Use characters.
Using a turbo-only comparisonIt can look worse for Thai.Look at the figures for the model actually used.
Skipping the noisy clipQuality can fall faster in noise.Test under real conditions.

More

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

Frequently asked questions

Why does Thai carry a caution?

Published figures are weaker than for the recommended languages, so a careful read is part of the job.

What are the 11.5 and 13.4?

11.5 is a character error rate for large-v2; about 13.4 is a third-party turbo result.

Why characters, not words?

Thai has no spaces between words, so characters are counted.

Can I get the text in English?

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

How large a file can I send?

Files up to 2 GB are accepted, and a long result arrives as a file.

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. Whisper speech recognition system (Wikipedia), Wikipedia · checked
  3. Whisper paper, Table 13 (large-v2 on FLEURS) · checked
  4. Whale paper, Table 5 (Whisper large-v3 on FLEURS) · checked
  5. OpenAI Whisper discussion on the turbo model · 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