TEXTify #

A pure Dart/Flutter OCR library for extracting text from clean digital images.

✅ 100% offline - No internet or cloud services required ✅ Cross-platform - Works on Android, iOS, macOS, Windows, Linux, and Web ✅ Lightweight - No external dependencies, just pure Dart code ✅ Privacy-focused - All processing happens on-device

Why TEXTify? #

Unlike traditional OCR solutions that are:

• Heavy (require C/C++ compilation, external dependencies)
• Complex (difficult cross-platform setup)
• Cloud-dependent (require internet, privacy concerns)
• Platform-limited (don't work everywhere)

TEXTify provides a simple, lightweight alternative that just works.

Installation #

Add this to your package's pubspec.yaml file:

dependencies:
  textify:

Then run:

flutter pub get

How to use #

Here is an example of how to use TEXTify:

import 'dart:ui' as ui;
import 'package:flutter/services.dart';
import 'package:textify/textify.dart';
import 'package:textify/models/textify_config.dart';

// Load your image (example using flutter's rootBundle)
final ByteData imageData = await rootBundle.load('assets/scan.png');
final ui.Codec codec = await ui.instantiateImageCodec(imageData.buffer.asUint8List());
final ui.FrameInfo frameInfo = await codec.getNextFrame();
final ui.Image inputImage = frameInfo.image;

// Instantiate TEXTify once with configuration
final textify = Textify(
  config: TextifyConfig(
    applyDictionaryCorrection: true, // Enable dictionary correction
  ),
);
await textify.init();

// Extract text from the image
final String extractedText = await textify.getTextFromImage(image: inputImage);

print(extractedText);

Configuration #

TEXTify provides extensive configuration options to customize OCR behavior for different use cases:

Basic Configuration #

import 'package:textify/textify.dart';
import 'package:textify/models/textify_config.dart';

// Create Textify instance with custom configuration
final textify = Textify(
  config: TextifyConfig(
    dilationSize: 25,           // Controls pixel merging (higher = more merging)
    excludeLongLines: true,     // Ignore long horizontal/vertical lines
    attemptCharacterSplitting: true,  // Try to separate touching characters
    applyDictionaryCorrection: false, // Use dictionary for better accuracy
    matchingThreshold: 0.4,     // Minimum match confidence (0.0-1.0)
    maxProcessingTimeMs: 30000, // Maximum processing time
  ),
);

// Initialize and use
await textify.init();
final text = await textify.getTextFromImage(image: inputImage);

Preset Configurations #

TEXTify includes optimized presets for common scenarios:

// Fast processing (lower accuracy, quicker results)
final fastTextify = Textify(config: TextifyConfig.fast);

// High accuracy (slower, better results)
final accurateTextify = Textify(config: TextifyConfig.accurate);

// Robust for challenging images (handles noise, low quality)
final robustTextify = Textify(config: TextifyConfig.robust);

// Default balanced configuration
final defaultTextify = Textify(); // Uses TextifyConfig()

Configuration Options #

Performance Tuning #

• Speed Priority: Use TextifyConfig.fast for quick processing when accuracy is less critical
• Accuracy Priority: Use TextifyConfig.accurate for maximum accuracy on clean documents
• Robust Processing: Use TextifyConfig.robust for challenging images with noise or low quality

Contributing #

Contributions are welcome. Please keep changes focused, update docs as needed, and run the full verification workflow before opening a PR.

tool/check.sh

Features #

• Character recognition for clean digital text images
• Font support: Arial, Courier, Helvetica, Times New Roman
• Automatic line detection and text organization
• Dictionary correction for improved accuracy
• Connected character splitting for better results

Limitations #

TEXTify works best with clean digital images and has some limitations:

• No handwriting support - only computer-generated text
• Limited character set - see Supported Characters
• No formatting - plain text only (no italics, bold, etc.)
• Clean images required - no noise, borders, or complex backgrounds

Supported Characters #

This package currently supports the following characters, with plans to expand support in the future:

• Uppercase letters: ABCDEFGHIJKLMNOPQRSTUVWXYZ
• Lowercase letters: abcdefghijklmnopqrstuvwxyz
• Digits: 0123456789
• Space: (space)
• Punctuation marks: .,?!:;'"(){}[]<>-
• Other characters: /\+=#$&*@

While the current character set is limited, future updates will aim to include broader language support, starting with common accented characters and symbols.

Input image - Clean Digital Image Guidelines #

What Makes a Clean Digital Image? #

Font Selection

• Use Helvetica (sans-serif) or Courier (monospace)
• Keep font size consistent and large (12pt+ size)
• Maintain uniform character width, especially with Courier

Text Spacing Requirements

• Letters must not touch or overlap
• Maintain consistent gaps between words
• Use standard line spacing (1.5 recommended)
• Keep clear margins around text

Best Practices

• Clean, computer-generated documents
• Scanned image of high resolution: Minimum 300+ DPI
• Format: TIFF or PNG preferred
• Use OCR-friendly fonts
• Clean, white background
• Black text for optimal readability
• Remove any background noise or artifacts
• Keep text alignment consistent
• Avoid decorative or script fonts
• Minimal background noise (e.g., no watermarks)
• High contrast between text and background
• No handwritten or italic text
• Isolated characters (not touching other artifacts)

Quick Validation Checklist

• ✅ Text is clearly separated
• ✅ Fonts are similar to Helvetica, Courier, Times New Roman
• ✅ Size is consistent throughout
• ✅ No touching characters
• ✅ Clean background
• ✅ High contrast
• ✅ Proper resolution

Language Support #

TEXTify is currently designed to work with the English language only. While it may handle some text in other languages that use the supported character set, its functionality is optimized and intended for English text processing.

Components #

Please contribute and report issues on the GitHub repository. https://github.com/vteam-com/textify