rbayuokt

rbayuokt / expo-mlkit-ocr

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Production-ready Expo Module for on-device text recognition (OCR) using Google ML Kit Text Recognition v2 + OCRTextOverlay

www.npmjs.compackageexpo-mlkit-ocr expo expo-mlkit expo-mlkit-ocr expo-ocr expo-text-recognition
19
2
100% credibility
Found May 03, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A mobile app add-on that recognizes text in photos directly on iOS and Android devices, with interactive overlays to view and select results.

How It Works

1
🔍 Discover Text Reader Add-on

You find a helpful tool that lets your mobile app read text straight from photos without needing the internet.

2
📥 Add to Your App

You simply include this tool in your app project, making text recognition available with just a few easy steps.

3
⚙️ Prepare for Phones

You tweak a couple of settings in your app to make sure it works smoothly on both iPhones and Android devices.

4
🔨 Build the App

You create a test version of your app on your computer to run it on a phone or simulator.

5
📸 Snap or Pick a Photo

You choose a photo from your library, and the app quickly scans it to find and highlight all the text inside.

6
🎯 See and Select Text

Colorful boxes appear over the words and lines in the photo, and you can tap them to grab the text you want.

✅ App Reads Text Perfectly

Now your app can extract text from any image effortlessly, ready for scanning receipts, signs, or documents anytime.

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AI-Generated Review

What is expo-mlkit-ocr?

This TypeScript Expo module delivers on-device OCR for React Native apps via Google ML Kit Text Recognition v2 on iOS and Android. Feed it an image URI from expo-image-picker, call recognizeText, and get structured output: full text plus bounding boxes for blocks, lines, and elements—all offline, no network calls. It includes an OCRTextOverlay component to wrap your image, rendering tappable boxes for selecting and copying text.

Why is it gaining traction?

Unlike clunky native ML Kit wrappers or cloud OCR services, it auto-configures via Expo plugins, handles iOS deployment targets, and falls back to Apple Vision on simulators. Developers dig the full TypeScript types, precise pixel coordinates, and multi-select overlay that scales with contain/cover modes—production ready expo ocr without Firebase bloat. Pairs expo-image-picker for instant image-to-text pipelines.

Who should use this?

React Native devs building production ready expo apps like document scanners, receipt trackers, or AR text highlighters. Ideal for mobile teams needing react native mlkit ocr expo integration without custom native code, especially those shipping google mlkit module features in expo dev clients.

Verdict

Grab it for quick OCR prototypes in Expo—docs, examples, and plugin setup make it production ready fastapi github-style simple. But with 19 stars and 1.0% credibility score, test thoroughly on real devices; maturity lags busier repos, so monitor for edge cases before prime time.

(187 words)

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