v1.2.3
9001/copypartyv1.2.3Nov 18, 2025by denizsafak
AI Summary
This release enables users to generate audio from subtitle files and adds cover image embedding for M4B files, while also addressing Windows DLL initialization issues.
Key Highlights
- Voice subtitle files (.srt, .ass, .vtt) and timestamp-based text files.
- New 'Use silent gaps between subtitles' option.
- New 'Subtitle speed adjustment method' (TTS Regeneration vs FFmpeg).
- Embedding cover images in M4B files.
New Features
- Subtitle-to-audio generation
- Silent gaps option
- Speed adjustment methods
- M4B cover image embedding
Full Release Notes
- **You can now voice your subtitle files!** Simply add `.srt`, `.ass` or `.vtt` files to generate timed audio. Alternatively, add a text file with timestamps in `HH:MM:SS` or `HH:MM:SS,ms` format to generate audio that matches the timestamps. See [here](https://github.com/denizsafak/abogen?tab=readme-ov-file#about-timestamp-based-text-files) for detailed instructions.
- New option: **"Use silent gaps between subtitles"**: Prevents unnecessary audio speed-up by letting speech continue into the silent gaps between subtitles.
- New option: **"Subtitle speed adjustment method"**: Choose how to speed up audio when needed:
- **TTS Regeneration (better quality):** Re-generates the audio at a faster speed for more natural sound.
- **FFmpeg Time-stretch (better speed):** Quickly speeds up the generated audio.
- Added support for embedding cover images in M4B files. Abogen now automatically extracts cover images from EPUB and PDF files. You can also manually specify a cover image using the `<<METADATA_COVER_PATH:path>>` tag in your text file. (To prevent MPV from showing the cover image, you can add `audio-display=no` to your MPV config file.)
- Fixed `[WinError 1114] A dynamic link library (DLL) initialization routine failed` error on Windows, pre-loading PyTorch DLLs before initializing PyQt6 to avoid DLL initialization errors, mentioned in #98 by @ephr0n.
- Potential fix for `CUDA GPU is not available` issue, by ensuring PyTorch is installed correctly with CUDA support on Windows using the installer script.
- Improvements in code and documentation.