README.md

metadata

title: Awesome Whisper Apps Browser
colorFrom: purple
colorTo: blue
sdk: static
pinned: false

Awesome Whisper Apps Browser

An interactive browser for discovering applications, tools, and resources built with OpenAI Whisper, a robust automatic speech recognition (ASR) system.

Overview

This Space provides a curated, searchable directory of projects leveraging OpenAI's Whisper model for speech recognition, transcription, and related tasks. The interface allows users to explore projects by platform compatibility, use case category, or through direct search.

Features

Browse by Platform

Filter projects by target platform:

• Linux
• macOS
• Windows
• Android
• iOS
• Cross-Platform
• Web

Browse by Use Case

Discover projects organized by functionality:

• Voice Typing
• Subtitles and Captioning
• Meetings and Productivity
• Real-Time Transcription
• Developer Tools
• Model Variants

Search and Sort

• Search: Quickly find projects by name or description keywords
• Sort: Organize results by name, platform, or use case for easier navigation

Data Source

The project database is maintained in projects.md as an awesome list and automatically converted to structured JSON format for the web interface.

Updating the Database

To regenerate the projects database from the source markdown:

python parse_markdown.py

This script parses projects.md and outputs projects.json, which powers the interactive browser.

Project Structure

.
├── index.html          # Main application interface
├── style.css           # Stylesheet for the browser
├── script.js           # Client-side filtering and display logic
├── projects.md         # Source data in markdown format
├── projects.json       # Parsed, structured project data
├── parse_markdown.py   # Markdown-to-JSON conversion script
└── README.md           # Documentation

Technical Architecture

This Space implements a lightweight static architecture:

1. Data Layer: projects.md serves as the authoritative source of project information
2. Build Process: parse_markdown.py extracts and structures data into JSON
3. Frontend: Vanilla JavaScript handles data loading, filtering, and dynamic display

No server-side processing or external dependencies are required at runtime.

About Whisper

Whisper is OpenAI's state-of-the-art automatic speech recognition system, trained on 680,000 hours of multilingual and multitask supervised data. It demonstrates robust performance across diverse audio conditions and languages.

Key Resources:

• Official Repository
• Research Paper
• Hugging Face Model Collection

Contributing

Contributions are welcome. To add new projects to the collection:

1. Edit projects.md following the established markdown format
2. Run python parse_markdown.py to regenerate projects.json
3. Submit changes including both updated projects.md and regenerated projects.json

Ensure project descriptions are accurate and links are current.

License

This project browser is created to showcase the Awesome Whisper Apps collection. Individual projects listed maintain their own respective licenses.

Created By

Daniel Rosehill

• Website: danielrosehill.com
• GitHub: github.com/danielrosehill
• Hugging Face: huggingface.co/danielrosehill