Voice-to-speech browser extension with 4.8★ rating and 5,000+ users.
Problem
Accessibility and productivity for text dictation.
Solution
Lightweight extension with privacy-first processing.
My Role
Developer
Tech Stack
Web APIs
JavaScript
Overview
The Voice-to-Speech Chrome Extension is a comprehensive accessibility tool that transforms web browsing through advanced speech technologies. Built with privacy-first principles, this extension provides seamless voice-to-text conversion and text-to-speech functionality, making the internet more accessible for users with disabilities while enhancing productivity for all users.
Key Innovation: Unlike cloud-based solutions, all speech processing happens locally in the browser, ensuring complete privacy while delivering real-time performance. The extension leverages modern Web APIs to provide enterprise-grade functionality without compromising user data security.
The project addresses a critical gap in web accessibility tools by providing a lightweight, customizable solution that works across all websites without requiring external services or data transmission.
Problem & Solution
The Accessibility Challenge
Digital Divide: 15% of the global population lives with some form of disability, yet most websites lack adequate accessibility features
Input Barriers: Traditional keyboard/mouse input can be challenging for users with motor disabilities
Reading Difficulties: Users with dyslexia, visual impairments, or learning disabilities need alternative content consumption methods
Productivity Gaps: Voice input can be 3x faster than typing for many users, but most websites don't support it natively
Our Solution
The Voice-to-Speech Extension provides:
Universal Voice Input: Convert speech to text on any website input field
Intelligent Text-to-Speech: Read any selected text or entire web pages aloud
Privacy-First Architecture: All processing happens locally using browser APIs
Customizable Experience: Adjustable speech rate, pitch, volume, and language settings
Seamless Integration: Works with existing websites without requiring modifications
Technical Architecture
Core Technologies
Web Speech API Integration
Speech Recognition: Real-time voice-to-text conversion using browser's native capabilities
Continuous Listening: Advanced noise filtering and pause detection
Multi-language Support: 50+ languages with accent recognition
Confidence Scoring: Quality assessment for transcription accuracy
Speech Synthesis API
Natural Voice Output: High-quality text-to-speech using system voices
Voice Selection: Access to all installed system voices
Prosody Control: Fine-tuned control over speech rate, pitch, and volume
SSML Support: Advanced speech markup for enhanced pronunciation
Chrome Extensions API
Content Script Injection: Seamless integration with web pages
Background Processing: Persistent functionality across browser sessions
Context Menus: Right-click integration for quick access
Keyboard Shortcuts: Customizable hotkeys for power users
Visual Themes: Multiple UI themes including high contrast options
Behavioral Settings: Configurable auto-pause, speed adjustment, and more
Technical Challenges & Solutions
1. Cross-Site Compatibility
Challenge: Ensuring consistent functionality across diverse website architectures and frameworks
Solution: Developed robust DOM manipulation system with fallback strategies for different input field types
2. Real-time Speech Processing
Challenge: Minimizing latency between speech input and text output while maintaining accuracy
Solution: Implemented optimized speech recognition with predictive text suggestions and confidence-based auto-correction
3. Browser Performance Optimization
Challenge: Maintaining minimal performance impact while providing rich functionality
Solution: Lazy loading of speech engines, efficient event handling, and memory management optimization
4. Multi-language Support
Challenge: Supporting diverse languages with different speech patterns and writing systems
Solution: Dynamic language model loading with automatic language detection and switching
Innovation Highlights
1. Adaptive Speech Recognition
Context-Aware Processing: Adjusts recognition based on webpage content type
Learning Algorithm: Improves accuracy based on user correction patterns
Hey! I'm Naoise. Ask me anything about my work in AI, product management, or how I built that hackathon project solo. I'll give you the real story, not the LinkedIn version.