text_recognition_camera 0.0.2

A Flutter library for text recognition using device camera and Google ML Kit with pattern matching support.

example/lib/main.dart

import 'package:flutter/material.dart';
import 'package:text_recognition_camera/text_recognition_camera.dart';

void main() {
  runApp(const MyApp());
}

class MyApp extends StatelessWidget {
  const MyApp({super.key});

  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Reconocimiento de Texto',
      theme: ThemeData(
        primarySwatch: Colors.blue,
      ),
      home: const MyHomePage(),
    );
  }
}

class MyHomePage extends StatefulWidget {
  const MyHomePage({super.key});

  @override
  _MyHomePageState createState() => _MyHomePageState();
}

class _MyHomePageState extends State<MyHomePage> {
  String recognizedText = "El número de serie reconocido aparecerá aquí";
  String? imagePath;

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        title: const Text('Reconocimiento de Texto'),
      ),
      body: Center(
        child: Column(
          mainAxisAlignment: MainAxisAlignment.center,
          children: <Widget>[
            Container(
              margin: const EdgeInsets.symmetric(horizontal: 16),
              padding: const EdgeInsets.all(16),
              decoration: BoxDecoration(
                color: Colors.grey[100],
                borderRadius: BorderRadius.circular(8),
                border: Border.all(color: Colors.grey.shade300),
              ),
              child: Column(
                children: [
                  Text(
                    'Número de Serie',
                    style: TextStyle(
                      fontSize: 16,
                      color: Colors.grey[600],
                      fontWeight: FontWeight.w500,
                    ),
                  ),
                  const SizedBox(height: 8),
                  Text(
                    recognizedText,
                    style: const TextStyle(
                      fontSize: 20,
                      fontWeight: FontWeight.bold,
                      letterSpacing: 1,
                    ),
                    textAlign: TextAlign.center,
                  ),
                ],
              ),
            ),
            const SizedBox(height: 20),
            ElevatedButton.icon(
              onPressed: () async {
                final result = await showDialog<RecognitionResult>(
                  context: context,
                  builder: (context) => const TextRecognitionCamera(
                    key: Key('textRecognitionCamera'),
                    title: "Escanear número de serie",
                    pattern: r'(?:^|\D)(\d{12})(?:\D|$)',
                    notFoundMessage:
                        "No se pudo encontrar un número de serie válido.\nPor favor, asegúrese de que la imagen contiene un número de 12 dígitos.",
                    successMessage: "Número de serie verificado",
                    width: 450,
                    height: 700,
                    backgroundColor: Color(0xFFFAFAFA),
                    primaryColor: Color(0xFF1976D2),
                    successColor: Color(0xFF388E3C),
                    errorColor: Color(0xFFD32F2F),
                  ),
                );
                if (result != null) {
                  setState(() {
                    recognizedText = result.text;
                    imagePath = result.imagePath;
                  });
                  debugPrint('Path de la imagen: ${result.imagePath}');
                }
              },
              icon: const Icon(Icons.document_scanner_outlined),
              label: const Text(
                'Escanear Número de Serie',
                style: TextStyle(fontSize: 16),
              ),
              style: ElevatedButton.styleFrom(
                minimumSize: const Size(250, 50),
                shape: RoundedRectangleBorder(
                  borderRadius: BorderRadius.circular(8),
                ),
              ),
            ),
          ],
        ),
      ),
    );
  }
}