Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Voice-To-Text

繁體中文 | English


A highly efficient voice to text tool based on the ChatGPT Web API, specifically designed for Linux (GNOME) environments. It enables a seamless "Record -> Transcribe -> Beautify -> Copy to Clipboard" workflow with a simple hotkey toggle.

Prerequisites

This project uses uv for Python environment and dependency management.

1. Install System Dependencies

Ensure your system has portaudio (for recording) and wl-clipboard (for clipboard operations on Wayland) installed:

# For Debian/Ubuntu
sudo apt install libportaudio2 libportaudiocpp0 portaudio19-dev wl-clipboard

2. Configure API Headers

To call the ChatGPT transcription API, you need to manually capture the Request Headers after logging in:

  1. Open your browser and log in to ChatGPT.
  2. Open Developer Tools (F12) and go to the Network tab.
  3. Record a short voice command on the page to trigger the transcribe API.
  4. Find the transcribe request and copy its Request Headers (excluding headers starting with :).
  5. Create a file named .request-header.txt in the project root. You can use the provided template as a reference, ensuring it includes required fields like Authorization and Cookie.

3. Install Python Dependencies

uv sync

Usage

Run Directly

uv run src/main.py
  • First Run: Starts recording; a notification will appear.
  • Second Run: Stops recording; the system begins transcription and beautification.
  • Completion: The result is automatically saved to output/output.txt and copied to your clipboard.

Recommended: Bind to GNOME Hotkey

It is recommended to bind uv run /path/to/Audio-To-Text/src/main.py to a system shortcut (e.g., Ctrl + Alt + T) for the smootmost experience.

About

A voice to text tool based on the ChatGPT Web API, copy result to clipboard with a simple hotkey toggle.

Topics

Resources

Stars

Watchers

Forks

Contributors

Languages