Changelog
A complete history of ConvX releases. Every update, every fix, every new format.
v1.5.0 : February 2026
- Removed: Calibre dependency (saves 1.1 GB). MOBI to EPUB conversion now uses lightweight Python mobi package
- Removed: EPUB to MOBI conversion (MOBI format discontinued by Amazon)
- Optimized: Reduced Linux LibreOffice install from ~794 MB to ~190 MB by using minimal packages
v1.4.0 : February 2026
- Added: EPUB to PDF conversion
- Added: RAW photo support (CR2, NEF, ARW, DNG) to JPEG/PNG/WebP
- Added: New
--copy-audioflag for lossless audio stream passthrough - Added: MCP server
get_format_infotool for querying supported formats - Fixed: Color profile handling in HEIC to JPEG conversion
- Performance: 2x faster PNG encoding on Apple Silicon
v1.3.0 : January 2026
- Added: SVG to PNG/JPEG rasterization with configurable DPI
- Added: FLAC to MP3/AAC/OGG conversion
- Added: New
instagram-reelandtiktokpresets - Added: Watch mode now supports recursive directory monitoring
- Fixed: Audio sync issues in long MKV to MP4 conversions
- CLI: Added
--dry-runflag to preview conversions without writing files
v1.2.0 : December 2025
- Added: PDF to DOCX conversion (text-based PDFs)
- Added: WebM to MP4 and MP4 to WebM conversion
- Added: New
web-imagepreset (auto-selects WebP with 82% quality) - Added: Batch processing now shows per-file progress bars
- Fixed: Frame rate detection on variable frame rate videos
- Added: MCP server
batch_converttool
v1.1.0 : November 2025
- Added: MCP server for AI agent integration
- Added: 8 new presets including
discord-video,email-attachment,4k-archive - Added: New
--max-sizeflag for size-constrained conversions - Added: AVIF encoding/decoding support
- Fixed: Transparency preservation in PNG to WebP conversion
- CLI: Added
convx formatscommand for listing supported formats
v1.0.0 : October 2025
- Release: Initial release
- Desktop: App for macOS, Windows, and Linux
- CLI: Convert, batch, and watch commands
- Formats: 38 supported formats, 300+ conversion paths
- Presets: 6 built-in presets
- Performance: Parallel batch processing with configurable job count
- Privacy: 100% local processing, no network requests