DogeAutoSub is a desktop application that automatically generates subtitles for video files using OpenAI's Whisper speech recognition technology. It supports multiple languages, translation capabilities, and customizable options for optimal subtitle generation.
- Automatic Speech Recognition: Uses Whisper models to transcribe audio from video files
- Multiple Language Support: Detects and transcribes in numerous languages
- Translation Options: Translate subtitles from source language to target language
- Model Selection: Choose from different Whisper model sizes (tiny, base, small, medium, large, turbo)
- Translation Engines: Select between Whisper or Google Translate for translations
- Audio Enhancement: Adjust volume boost for better recognition of quiet audio
- User-Friendly Interface: Simple and intuitive UI with progress tracking
- Estimated Time Remaining: Displays time estimates for the subtitling process
- Dark/Light Theme: Toggle between dark and light UI themes
- Download the latest version of DogeAutoSub from the [releases page].
- Extract the ZIP file to a location of your choice.
- Run the
DogeAutoSub.exeexecutable. - First run might took a while to download the Whisper Models, you can download the models before use and put them in DogeAutoSubApp_internal\modules\models
No additional installation or dependencies required - everything is packaged within the application.
- Windows 10 or later (64-bit)
- 4GB RAM minimum (8GB+ recommended for larger models)
- GPU with CUDA support recommended for faster processing
- 2GB free disk space
- Select Input File: Click "Browse" to select your video file (supports .mp4, .avi, .mkv, .mov)
- Choose Output Location: Select where to save the generated subtitle files
- Select Model Size: Choose based on your needs for accuracy vs. speed
- Source Language: Select the language spoken in the video or choose "Auto" for automatic detection
- Target Language: Select the language for translated subtitles
- Translation Engine: Choose between Whisper or Google Translate
- Audio Boost: Adjust if your video has low volume
- Click Start: Begin the subtitle generation process
Generated subtitles will be saved in SRT format in the specified output folder.
| Size | Parameters | English-only Model | Multilingual Model | Required VRAM | Relative Speed |
|---|---|---|---|---|---|
| tiny | 39 M | tiny.en | tiny | ~1 GB | ~10x |
| base | 74 M | base.en | base | ~1 GB | ~7x |
| small | 244 M | small.en | small | ~2 GB | ~4x |
| medium | 769 M | medium.en | medium | ~5 GB | ~2x |
| large | 1550 M | N/A | large | ~10 GB | 1x |
| turbo | 809 M | N/A | turbo | ~6 GB | ~8x |
- Tiny: Fastest option, best for quick transcriptions where perfect accuracy isn't critical
- Base: Good balance for shorter content with clear audio
- Small: Better accuracy for most everyday uses
- Medium: High accuracy with reasonable processing time
- Large: Highest accuracy, best for difficult audio or accents
- Turbo: Fast processing with quality comparable to the medium model
The application will automatically use GPU acceleration (CUDA) when available to speed up processing times.
- Slow Processing: Select a smaller model size or ensure your GPU is being utilized
- Low Accuracy: Try a larger model size or increase the audio boost if audio is quiet
- Out of Memory Errors: Select a smaller model size or ensure sufficient system resources
- Language Detection Issues: Manually specify the source language instead of using Auto
- Translation Errors: Try switching between Whisper and Google Translate engines
This software is distributed under the MIT License. See LICENSE file for more information.
- OpenAI Whisper for the speech recognition technology
- PySide6 for the UI framework
- FFmpeg for audio extraction and processing
For bug reports, feature requests, or general feedback, please solve it yourself, sorry in advance.