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Speechfire

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Overview

Provides offline speech-to-text functionality into any focused text field.

Speechfire transforms your browser into a powerful offline speech-to-text tool, allowing you to dictate text into any field without relying on cloud services. Built on OpenAI's Whisper model running locally through a Python backend, it provides accurate transcription while keeping your voice data on your own computer. Supports multiple languages and works with any text input field. YOU NEED TO INSTALL THE SERVER AS WELL: https://github.com/Jejkobb/Speechfire Key Features: • Local Processing: Uses Whisper AI model running entirely on your machine • Multiple Languages: Transcribe in various languages with high accuracy • Universal Input: Compatible with any text field in Firefox • Quick Access: Toggle recording with Alt+A hotkey • System Integration: Easy server control through system tray • Cross-Platform: Supports Windows and Linux systems Works completely offline with no internet connection needed. The extension shows clear visual feedback through icon states to indicate recording status. Technical Details: - Backend: OpenAI Whisper model for speech recognition - Local Server: Python-based for processing audio - System Requirements: Python environment and basic system dependencies - Browser Support: Chrome (Firefox version also available) An open-source tool that keeps your voice data local while providing reliable speech-to-text conversion.

5 out of 53 ratings

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Details

  • Version
    0.0.1
  • Updated
    November 25, 2024
  • Offered by
    Jejkobb and sasoder
  • Size
    240KiB
  • Languages
    English
  • Developer
    Email
    samuelsoderberg99@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

The developer has disclosed that it will not collect or use your data.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

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