Voice-to-Text Generator AI Prompt

Create a fully-functional Voice-to-Text Generator in HTML that uses advanced features for speech recognition, real-time transcription, language selection, error correction, and user customization.

Features to Include:

  1. Speech Recognition:

    • Use the Web Speech API or any other advanced speech recognition API (e.g., Google Web Speech API).

    • Real-time voice input for live transcription.

    • Handle various accents and speech patterns with accuracy.

  2. Multilingual Support:

    • Enable users to choose different languages for speech recognition (e.g., English, Spanish, French, etc.).

    • Allow dynamic switching between languages during speech input.

  3. Customizable UI/UX:

    • Provide a modern, intuitive user interface with a responsive design.

    • Include a microphone button that users can press to start/stop dictation.

    • Show a real-time word count or characters typed.

    • Option for users to highlight or select specific words in the transcription.

  4. Error Correction & Suggestions:

    • Implement a feature that suggests corrections when speech recognition has errors.

    • Allow users to easily edit the transcribed text by clicking on any incorrectly transcribed words.

  5. Voice Commands:

    • Enable basic voice commands such as "Delete", "Clear", "Stop", and "Save".

    • Integrate a pause/resume feature for transcription based on voice cues.

  6. Audio Playback:

    • Include an option to listen to the transcription being read out loud (text-to-speech).

    • Implement playback speed controls for text-to-speech functionality.

  7. Saving and Exporting:

    • Provide options for saving the transcribed text in formats like TXT, PDF, or Word.

    • Option to copy the text to clipboard for easy use elsewhere.

  8. Advanced Options:

    • Speech-to-text with punctuation (e.g., automatically detect commas, periods).

    • Use machine learning or AI-based models for better context understanding (optional).

    • Add a dark/light theme toggle for better user accessibility.

Technologies/Tools to Use:

  • HTML5

  • CSS3

  • JavaScript (for speech recognition and dynamic features)

  • Web Speech API or a third-party speech recognition API

  • Optional: Python or Node.js for backend services (if necessary)

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