npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2025 – Pkg Stats / Ryan Hefner

expo-image-recognise-text

v0.1.4

Published

base64 Image to Text with Vision framwork

Readme

expo-image-recognise-text

A React Native library for performing text recognition (OCR) on Base64-encoded images using the Vision framework. This library works seamlessly with Expo projects.

Objective

This library allows you to input Base64 image data and extract recognized text using iOS’s Vision framework.

Features Converts Base64 image data into recognizable text. Integration into managed Expo projects. Compatible with bare React Native projects.

Installation

Add the package

npm install expo-image-recognise-text
npx pod-install

Rebuild the project using Expo’s custom development client

  expo prebuild
  expo run:ios

Important: Add Vision Framework to Your Xcode Project

don’t forget to add the Vision framework to your Xcode project:

  • Open your project in Xcode.
  • Navigate to Your Project > Build Phases > Link Binary with Libraries.
  • Add the Vision.framework.

Usage

Here’s how to use expo-image-recognise-text in your project:

Example

import React, { useState } from 'react';
import { View, Button, Text } from 'react-native';
import ExpoImageRecogniseText from 'expo-image-recognise-text';

const App = () => {
  const [recognizedText, setRecognizedText] = useState<string | null>(null);

  const handleRecogniseImage = async () => {
    const base64Image = 'data:image/png;base64,...'; // Replace with your Base64 image data
    try {
      const result = await ExpoImageRecogniseText.recognizeTextFromBase64Async(base64Image);
      setRecognizedText(result);
    } catch (error) {
      console.error('Error recognizing text:', error);
    }
  };

  return (
    <View>
      <Button title="Recognize Text" onPress={handleRecogniseImage} />
      {recognizedText && <Text>Recognized Text: {recognizedText}</Text>}
    </View>
  );
};

export default App;

API

ExpoImageRecogniseText.recognizeTextFromBase64Async(base64Image: string) Parameters: base64Image (string): The Base64-encoded image data. Must include the prefix, e.g., data:image/png;base64,.... Returns: A promise that resolves to the recognized text as a string.

Example

const text = await ExpoImageRecogniseText.recognizeTextFromBase64Async(base64Image);
console.log('Recognized Text:', text);

Contributing

Contributions are welcome! Please check the contributing guide for details.

Issues

If you encounter any issues, please file them here.

Repository

GitHub repository repository.

License

This project is licensed under the MIT License. See the LICENSE file for details.