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text recognition

Diagram of the delivery pipeline in three lanes: Android to Google Play (commit on main, host gate of 44 tests, signed build, emulator smoke on a real device, Play production); iOS to TestFlight (App Store Connect subscription-approval gate, cloud macOS build, build number from Apple); and a daily device round that reseeds four subscription states and reads the screen back by OCR. Beside it, the real screenshot the pipeline pulls off the emulator on every publish.

Mit Håndværk publishes itself to two app stores — and a real phone holds the veto

Mit Håndværk — Danish marketplace app for craft, art and design (mithaandvaerk.dk); Flutter on Android and iOS, Laravel backend
Mobile delivery automation — Flutter CI/CD, on-device acceptance testing, Google Play and App Store publishing

Mit Håndværk is a Danish marketplace app for craft, art and design — a Flutter app on Android and iOS over a Laravel backend, with subscriptions, real-time chat and push. This case is not about the app's screens. It is about the machinery that puts a new version of it in front of users: a pipeline that takes a commit on main and, roughly ten minutes later, has published it to Google Play production — but only after the release has been installed and cold-started on a real Android device and survived it.

The same pipeline covers Apple from a Linux server that cannot build iOS at all: a release tag hands the build to a cloud macOS machine, which signs it and uploads it to TestFlight — and the tag itself cannot be pushed unless the app's subscriptions are actually approved and priced in App Store Connect.

Everything in the picture above is read off the running system: the counters come out of the pipeline's own log, and the phone panel is the screenshot the publish gate pulls off the emulator on every single release.

The abc.grn.dk alphabet screen: all 44 Thai consonants as cards colour-coded by class — mid blue, high orange, low green — each with its romanized name, above a practice-range picker and a "Practice 44 letters" button.

Learning to write Thai, one traced letter at a time

GrN.dk — internal build
Educational apps for children

abc.grn.dk teaches a child to write an alphabet rather than to recognise one: pick a letter, trace it with a finger, and the app scores the shape you actually drew and tells you how close you got. Thai first — all 44 consonants, free — with Japanese hiragana and katakana behind a premium gate. Everything happens in the browser: the handwriting recogniser is plain Dart running on the device, the spoken letter names are files bundled with the app, and there is no account, no runtime backend and no advertising.

By Greg Nowak, 21 August, 2020
Illustrated infographic summarizing: Tesseract Thai Language

Tesseract Thai Language

Using Tesseract 4 with standard settings for OCR, will you give you odd spaces in the Thai letters.

I found this command example to be a good option: tesseract image.png outfile -l Thai -c preserve_interword_spaces=1

Tags

  • graphics
  • text recognition
text recognition

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