Releases: felizvida/slidewright
Releases · felizvida/slidewright
Release list
Slidewright v0.2.2
Desktop release for Slidewright v0.2.2.
- Bundles yt-dlp, ffmpeg, and CA certificates for local YouTube processing.
- Adds optional browser-cookie support for YouTube lectures that require sign-in.
- Provides native macOS and Windows zip assets.
Slidewright 0.2.0
Slidewright is the new public name for the project formerly released as Tube2Slides.
Why the name:
- "Slidewright" suggests a craftsperson shaping readable decks from raw lecture video.
- It keeps the product focused on the deck artifact rather than the mechanics of YouTube conversion.
Changes:
- Rename the GitHub repository to felizvida/slidewright.
- Rename the Python package and primary CLI command to slidewright.
- Keep tube2slides and youtube-slides command aliases for compatibility.
- Rename desktop app bundles and GitHub Actions artifacts to Slidewright.
- Update README, native app docs, package URLs, and GitHub About metadata.
Downloads:
- Slidewright_macOS_v0.2.0.zip: native macOS app bundle.
- Slidewright_Windows_v0.2.0.zip: native Windows app folder with executable and runtime files.
Validation:
- 13 unit tests passed.
- Desktop app smoke test passed.
- Package metadata builds as slidewright-0.2.0.
- GitHub Actions desktop build passed for macOS and Windows.
Tube2Slides 0.1.1
Patch release for packaged desktop apps.
Fixes:
- Use the bundled yt_dlp Python package directly when no system yt-dlp executable is installed.
- Point yt-dlp at the bundled ffmpeg binary during video download and merge.
- Adds a regression test for the bundled downloader path.
This fixes the erroneous desktop-app message: "yt-dlp is required for YouTube URLs".
Validation:
- 13 unit tests passed.
- Desktop app smoke test passed.
- GitHub Actions desktop build passed for macOS and Windows.
Tube2Slides 0.1.0
Initial public release of Tube2Slides.
Downloads:
- YouTube_Lecture_Slides_macOS.zip: native macOS app bundle.
- YouTube_Lecture_Slides_Windows.zip: native Windows app folder with executable and runtime files.
Highlights:
- Extract distinct slides from YouTube lectures or local videos.
- Export PNG slides, manifests, contact sheets, PowerPoint decks, and HTML reading views.
- Add caption-derived notes without OpenAI token usage.
- Optionally generate AI narrative notes from captions with a per-run OpenAI API key prompt.
- Include native desktop app build scripts and a GitHub Actions workflow for macOS and Windows.
Validation:
- 12 unit tests passed.
- Local desktop app smoke test passed.
- Local macOS app bundle rebuilt and smoke-tested before upload.
- GitHub Actions desktop build passed for macOS and Windows.