Jokobee logoJOKOBEE
Tesseract OCR · prebuilt

12 build issues. Zero for you.

Cross-compiling Tesseract + Leptonica for Android means fighting CMake shims, missing headers, linking conflicts, and cryptic NDK errors. We fought them so you don't have to. One Gradle line, English bundled, text recognized.

Choose your build → Free on GitHub ↗

// Tesseract 5.x · Leptonica · arm64-v8a · API 24+ · English bundled · 100+ languages

The alternative — compile it yourself
✗ cpu_features/CpuFeaturesNdkCompat not found
✗ find_package(Leptonica CONFIG) — no config file
✗ tesseract/version.h: No such file or directory
✗ endianness.h: generated header not found
✗ libleptonica.so built static — symbols missing
✗ install(EXPORT) conflicts with export()
...6 more issues... BUILD FAILED
// or — one Gradle line
implementation("dev.ffmpegkit-maintained:tesseract-android:1.0.0")
BUILD SUCCESSFUL SCANNING
Why this exists

Tesseract on Android shouldn't require a week of CMake.

Tesseract depends on Leptonica, which also needs cross-compiling. That's two native libraries, NDK toolchains, generated headers, linking order — 12 documented issues between you and working OCR. Our prebuilt AAR ships both libraries ready to use, with English bundled so it works out of the box.

Tesseract 5.x + Leptonica · prebuilt English bundled · works immediately 100+ languages · add any .traineddata On-device · no cloud, no API key Prebuilt .aar · no NDK, no CMake arm64-v8a · 16 KB aligned · API 24+ Maven Central · dev.ffmpegkit-maintained Pairs with OpenCV for scan-to-text
Free & Pro

Scan text for free. Go Pro for speed and languages.

The free tier gives you full Tesseract OCR with English out of the box. Pro adds OpenMP multithreading (2-3x faster), 12 languages in maximum accuracy, and multi-ABI for emulators and Chromebooks.

Free Apache 2.0
$0 · Maven / JitPack / GitHub
  • Tesseract 5.x + Leptonica prebuilt
  • English bundled (tessdata_fast, ~4 MB) — works immediately
  • 100+ languages — download any .traineddata
  • Clean Kotlin coroutine API
  • Words with bounding boxes + confidence
  • arm64-v8a · single thread
Get free on GitHub ↗
3x faster
Pro Apache 2.0
$24 · $62 team (5)
  • Everything in Free
  • OpenMP multithreading — 2-3x faster on multi-core
  • 12 languages bundled (tessdata_best — max accuracy)
  • eng, fra, spa, deu, ita, por, chi_sim, jpn, kor, ara, rus, hin
  • arm64-v8a + x86_64 (emulators, Chromebooks)
  • Advanced API: HOCR output, batch OCR, word-level confidence
Get Pro
One Gradle line

Add the dependency. Scan text. That's it.

English is bundled in the AAR — no extra download, no tessdata setup. Add languages anytime with a single .traineddata file.

app/build.gradle.kts
// Free — Maven Central (English bundled)
implementation("dev.ffmpegkit-maintained:tesseract-android:1.0.0")
// Free — JitPack (alternative)
implementation("com.github.ffmpegkit-maintained:TesseractOCR:v1.0.0")
// Pro — OpenMP + 12 languages + multi-ABI
implementation("dev.ffmpegkit-maintained:tesseract-android-pro:1.0.0")
MainActivity.kt — scan text in 4 lines
// initialize once (extracts bundled English data)
TesseractOCR.initialize(context)
// recognize text from any image
val result = TesseractOCR.recognize(bitmap)
Log.d("OCR", result.text) // → "Invoice #12345..."
Log.d("OCR", "Confidence: ${result.confidence}%")
100+ languages

English bundled. Add any language in one file.

Download a .traineddata file from the Tesseract project, place it in your app — done. Three quality tiers available.

Language data guide
tessdata_fast  ~4 MB/lang   fastest  · good quality · bundled in Free
tessdata      ~15 MB/lang  standard · better accuracy
tessdata_best ~15 MB/lang  slower  · maximum accuracy · bundled in Pro
// download from GitHub
Works with OpenCV

Preprocess → Recognize. Full scan-to-text on device.

Pair Tesseract with OpenCV for a complete document scanning pipeline. OpenCV handles deskew, binarization and text detection; Tesseract handles the OCR. Both on-device, no cloud.

Pipeline: OpenCV → Tesseract
// 1. OpenCV: preprocess the image
val gray = Imgproc.cvtColor(src, COLOR_BGR2GRAY)
val binary = Imgproc.adaptiveThreshold(gray, ...)
// 2. Tesseract: recognize text
val result = TesseractOCR.recognize(binary.toBitmap())
Log.d("OCR", result.text) SCANNED