IMG2TXT

A free opensource Android app to extract text from images using OCR technology.

• works offline (without Internet access)
• works on all versions of Android; from Android 6 up to Android 14 (the latest version release)
• get image from gallery or from Camera for extracting text
• crop image before OCR processing
• share image into IMG2TXT app to extract text from it
• app UI supports Arabic & English
• app supports extracting Arabic & English languages
• app supports extracting Arabic+English text from the same image
• Use three OCR engines (ML Kit -> Google Vision -> Tesseract OCR)
• color-coded confidence/accuracy extracted text
  • +80% -> white/black
  • 50-79% -> purple
  • -50% -> red
• let the user choose the text language before processing
• show the newlines in the result text
• ability to edit extracted text
• ability to copy extracted text

Install the img2txt app from Google Play: https://play.google.com/store/apps/details?id=com.softwarepharaoh.img2txt

Why opensource ?

I created the app to be available to all people who need it, all the time, everywhere. I'd like to create a developer community to maintain the app indefinitely.

documented fix

Google Play : "This App Bundle contains native code, and you've not uploaded debug symbols. We recommend you upload a symbol file to make your crashes and ANRs easier to analyze and debug. Learn More"

How to do that?

1 . in app/build.gradle add:

android {
   ...
    defaultConfig {
       ...
        ndk {
            debugSymbolLevel 'FULL'
        }
    }
}

2 . go to this path inside your project

cd app/build/intermediates/merged_native_libs/release/mergeReleaseNativeLibs/out/lib

3 . compress them all in one file

zip -r symbols.zip .

4 . upload the symbols.zip file into Google Play Console/release

Roadmap | timeline of release versions with tasks

• Old Codebase
  • use onActivityResult (modern code)
  • use general/universal openUrl() method/function
  • better way of cropping images
  • share image into IMG2TXT app to extract text from it
  • translations (English & Arabic), default is English
  • About Me
  • rate us on Google Play (removed)
  • link to Google Play
• v2.5.1
  • first opensource version release is v2.5.1 on April 21st, 2024
  • support Android 6 (Marshmallow) (SDK 23)
  • support Android 7
  • support Android 8
  • support Android 9
  • support Android 10
  • support Android 11
  • support Android 12
  • support Android 13
• v2.6.0
  • support Android 14 (SDK 34)
  • show thresholded/cleaned image (created by Tesseract)
• v2.7.0
  • release v2.7.0 on May 29th, 2024
  • show bounding rectangles/boxes around each recognized word
• v2.8.0
  • image to text OCR app release v2.8.0 on May 31st, 2024 with enhanced user experience and bug fixes.
  • simplify app UI layout
  • new simpler theme
  • show alert/notice if the mean_confidence of result text is less than 60%
  • on-device Tesseract OCR (English & Arabic models)
  • on-device Google vision API (latin scripted languages)
  • on-device ML Kit (latin scripted languages)
  • in case of Arabic language or both (Arabic+English), use Tesseract OCR
  • fallback strategy in case of English language is ML Kit -> Google Vision -> TesseractOCR
  • color-coded confidence/accuracy of the result text from ML Kit & Tesseract OCR
  • prompt the app user to choose the language of text on the image before processing it
  • customize crop-screen
  • make result/extracted text editable
  • add line breaks (newline) in extracted text (ML Kit & Tesseract OCR)
• v2.9.0
  • support Android 15 (SDK 35)
  • save OCR history (aka : Detailed scanned images history)
• Next Version
  • batch processing (in bulk)
  • PDF -> Images.foreach(ocr)
  • expose more functions to Java : cpp files in tesseract4android/src/main/cpp/tesseract and java files in tesseract4android/src/main/java/com/googlecode/tesseract/android must be modified/added.
  • support Hindi ( Indian language )
  • support Farsi ( Persian language )
  • save extracted text as PDF
  • choose more than one image to OCR
  • pre-process image with thresholding for more clarity and better results/accuracy/extracted text
  • Ability to edit image before/after running OCR on it (manual)