🎙️ Submind — AI Subtitle Generator

Submind is a modern, PyQt6-based GUI app powered by OpenAI Whisper. It enables you to generate perfectly timed subtitles (SRT files) from any audio or video file, with optional language translation and batch processing.

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📚 Table of Contents

• ✨ Features
• 🖥️ Preview
• 🚀 Getting Started
• 🛠️ Usage
  • 🎧 Single File Mode
  • 🗂️ Batch File Mode
• 🌍 Language Support
• 📦 Dependencies
• 📁 Folder Structure
• 🔒 License

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✨ Features

• 🎧 Single File Transcription — transcribe any media file to subtitles.
• 🗂️ Batch Mode — select multiple files and transcribe them at once.
• 🖱️ Drag and Drop - Drag your files from folders directly to Submind
• 🌍 Auto Translation — optional translation of subtitles to other languages.
• 🗃️ Save Separately — choose to save translated subtitles as separate files.
• 💻 Clean Dark UI — modern, minimal dark interface built with PyQt6 + Fluent Widgets.
• 🔊 Powered by OpenAI Whisper

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🚀 Getting Started

1. Clone the repo

git clone https://github.com/rohankishore/Submind.git
cd submind

### 2. Install requirements

```bash
pip install -r requirements.txt

Make sure ffmpeg is installed and added to PATH.

3. Run the app

python main.py

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🛠️ Usage

🎧 Single File Mode

• Select any audio/video file.
• Enable translation (optional).
• Choose a language.
• Hit "📝 Transcribe to SRT".

🗂️ Batch File Mode

• Click "📂 Browse Files" to select multiple files.
• Enable translation (optional).
• Choose target language.
• Start batch transcription.

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🌍 Language Support

Over 50+ languages supported via OpenAI Whisper translation.

To add/remove options, edit the LANGUAGES dictionary in const.py.

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📦 Dependencies

• whisper
• PyQt6
• qfluentwidgets
• ffmpeg (system-installed)
• numpy
• torch

You can install them with:

pip install whisper PyQt6 qfluentwidgets numpy torch

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📁 Folder Structure

Submind/
├── Core/
│   └── file_write.py       # Function to save SRT from the whisper result
├── assets/
│   └── preview.png         # UI screenshot for README
├── const.py                # Language map
├── main.py                 # Entry point
├── README.md
└── requirements.txt

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🔒 License

This project is licensed under the MIT License.
Feel free to use, modify, and distribute it.

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Built with ❤️ by Rohan Kishore