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Apps built on OpenThai OCR and ASR

If your app reads documents with OpenThai OCR or transcribes speech with OpenThai ASR, send it in. We list it below with a link to your app, and you get a badge that tells your users which model is inside.

An illustration. Each blue box is a line the OCR read; the number is its confidence. The badge sits where an app might show it.

Apps using them

AppOrganisationModelTells users
No apps listed yet. The first one sent in goes on this row. Send your app

Listed apps are linked from this page, from Who uses OpenThai and from the OCR or ASR model page they use.

The badge

Put this in your website, app or README. The badge links to the model page, with its test results and limits. It is free to use when your app really runs that model; no need to ask.

The badge says which model an app uses. It is not an endorsement by OpenThai.

Powered by OpenThai OCROn light
On dark
<a href="https://openthai.ai/openthai2p0-ocr?ref=powered-by" target="_blank" rel="noopener"><img src="https://openthai.ai/img/badges/powered-by-openthai-ocr.svg?v=2" alt="Powered by OpenThai OCR" height="32"></a>

Send your app

After you send it

  1. Send it on GitHub, where anyone can read it, or by email, which only the team reads.
  2. The team opens your link and checks that the app exists and runs that model.
  3. Your app goes on the list here, and your feedback goes to the team that trains the model.

Found documents or audio the model gets wrong? Describe them under "What should we fix". The team tests the next version on cases like these. Sample files with no personal data can go by email.

Using another OpenThai model, such as the LLM, Legal or SystemOne? Send it on Who uses OpenThai

Your app
Which model
Feedback
Publishing
Does the app tell its users it runs OpenThai?

GitHub opens a filled-in form (you need an account, and anyone can read it). Email opens your mail app with the same text.