English speech to text: published scores

By the Potok teamUpdated ~2 min read

English speech to text with Potok is a recommended language with the lowest published error on our list. Large-v3 results run from 4.0 to 4.25 word error rate in published tests, and a third party averaged 4.80 for the turbo variant. These are others' tests, not our measurements.

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

  • Three published figures sit between 4.0 and 4.80, so English is the best documented language here.
  • Test sets of read speech are cleaner than real meetings, so expect more errors on your files than on the benchmarks.
  • English accents vary widely, and a heavy regional accent or fast crosstalk is where the gaps show.
  • Homophones are spelled by context, so a mix-up like their and there can still happen.

What a transcript looks like

Sample sentence in English
[00:00] Speaker 1: Let's start the meeting. First, we'll review last week's results, then plan the next steps.

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
EnglishRecommendedword error rate 4% (large-v3, FLEURS)
Canary-1B-v2 paper, Whale paper
Published tests show a low error rate for this language.
Published large-v3 results range from 4.0 to 4.25; the turbo variant averages 4.80 in a third-party test.

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. Start from the source. Phone voice notes, Zoom exports and lecture recordings are all fine. Keep the original file rather than a re-compressed copy.
  2. Send. Open @potok_now_bot and share the file or a link.
  3. Look for context errors. Scan for homophones and for proper nouns, which no score captures.
  4. Large recordings. Anything up to 2 GB; use the Upload button for the biggest.
  5. Choose an export. TXT, MD, DOCX, PDF, SRT or VTT. Short results show in the chat.
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
Expecting benchmark numbers on a noisy callClean test speech is easier than real rooms.Treat the figures as a floor, not an average.
Not reading homophonesSpelling errors that sound right slip through.Proofread with the audio.
Quoting 4.0 as our accuracyIt is a published figure from others.Cite it with its source type.
Skipping speaker labels in a panelNames of voices are not known, only numbers.Turn labels on and rename later.

More

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

Frequently asked questions

What are the published scores?

Large-v3 ranges from 4.0 to 4.25 word error rate, and the turbo variant averages 4.80 in a third-party test.

Does it handle accents?

The published figures do not split by accent, so test a clip from the speaker.

Is English the best-supported language?

It has the lowest published error on our list, but real audio matters more than the number.

Can I send a YouTube link?

Yes, links to YouTube are accepted along with files up to 2 GB.

Do I get timestamps?

Yes, optionally, and they export to SRT and VTT.

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. Canary-1B-v2 paper, Table 11 (Whisper large-v3 on FLEURS) · checked
  4. Whale paper, Table 5 (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