Scatext

An innovative Android application that uses Google's ML Kit for advanced text recognition capabilities, with integrated Text-to-Speech functionality to enhance accessibility for all users.

Overview

Scatext leverages machine learning to recognize text from images, making it a powerful tool for digitizing documents, extracting information, and improving accessibility through audio output.

Features

Text Recognition - Accurate OCR using Google ML Kit
Text-to-Speech - Audio output for improved accessibility
Image Capture - Easy image capture from camera or gallery
Text Extraction - Extract and copy recognized text
Multi-language Support - Recognize text in multiple languages
Offline Processing - ML Kit works offline for privacy

Technology Stack

Platform: Android (Java)
IDE: Android Studio
ML Framework: Google ML Kit
Text-to-Speech: Android TTS API
Accessibility: WCAG compliance focus
Build Tool: Gradle

Key Accomplishments

Integrated Google ML Kit for robust text recognition
Implemented Text-to-Speech for accessibility
Created an intuitive camera interface
Optimized ML model for faster processing
Ensured accessibility compliance for all users

Use Cases

Document digitization and data entry
Real-time language translation
Accessibility assistance for visually impaired users
Information extraction from images
Education and learning applications

What I Learned

This project provided deep insights into machine learning integration, accessibility best practices, and building feature-rich mobile applications with external APIs.