How I Built AI Speech-to-Text Software | Jakob Fisker
AI Development

How I Built AI Speech-to-Text Software

2025-01-15
5 min read

Learn how I developed a Chrome Extension with AI-powered speech-to-text functionality using OpenAI's Whisper API. A complete guide to building modern transcription software with React and TypeScript.

How I Built AI Speech-to-Text Software

How I Built AI Speech-to-Text Software

As a young entrepreneur and developer, I've always been fascinated by AI's potential to solve everyday problems. One of my recent projects was developing a Chrome extension that uses AI to convert speech to text and transcription.

The Inspiration Behind the Project

The idea arose when I experienced the need for fast and accurate transcription of audio content myself. Traditional solutions were either too expensive or not accurate enough. I decided to build my own solution using modern AI technology.

Technical Implementation

AI Models and APIs

I chose to use OpenAI's Whisper API for speech-to-text conversion because it offers:

  • High accuracy in Danish and English
  • Fast processing of audio files
  • Flexible integration with web applications

Chrome Extension Architecture

The extension is built with:

  • Manifest V3 for modern Chrome compatibility
  • React for the user interface
  • TypeScript for type safety
  • Web Audio API for audio recording

User Interface

I designed a simple and intuitive interface that:

  • Gives users control over recording
  • Shows real-time transcription
  • Allows export to different formats
  • Integrates seamlessly with Chrome

Challenges and Solutions

Audio Quality and Noise

One of the biggest challenges was handling different audio qualities and background noise. I solved this by:

  • Implementing audio preprocessing
  • Adding noise reduction
  • Optimizing for different microphone types

Performance and Speed

To ensure fast transcription, I implemented:

  • Streaming of audio data
  • Parallel processing
  • Caching of results

Results and Learning

The project gave me valuable experience with:

  • AI integration in web applications
  • Chrome Extension development
  • Audio processing and recording
  • User-friendly design

The Future of the Project

I plan to expand the extension with:

  • Support for more languages
  • Advanced editing features
  • Integration with popular platforms
  • Offline functionality

Conclusion

This project demonstrates how AI can be used to solve real problems and improve productivity. It has been a fantastic learning experience and a step forward in my journey as an AI developer.

Want to try the extension? It's available in the Chrome Web Store and can be downloaded for free.

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