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AgeLapse automates the process of aligning face pictures and creating stabilized aging time-lapses, i.e. "photo-a-day" videos. The application runs natively on desktop (MacOS, Windows, Linux) and on mobile (iOS and Android).

Download AgeLapse: https://agelapse.com

AgeLapse takes a raw photo, detects a set of landmarks on the person (eyes for face), and applies affine transformations (scale, rotate, translate) so that those anchors land on fixed “goal” coordinates inside a fixed-size canvas.

• Recently Deleted
  • Deleted photos remain in Recently Deleted for 30 days before being purged.
  • Restore or permanently delete individual photos, selected photos, or the entire trash.

• Manual stabilization edits are saved and re-used

• Fix re-importing a previously deleted photo being blocked by duplicate fingerprint checks.

• Background blur zoom setting

• Major performance improvements across all platforms:
  • ~1.5x faster stabilization
  • ~2-3x faster photo import
• Smoother, more responsive camera
• Reduced Android binary size (~500MB -> ~350MB) by debloating and stripping FFmpeg binary to a minimal version

• Fix macOS release crash importing TIFF, JP2, and AVIF files
• Fix Android JVM compatibility issues
• Fix duplicated file extension in gallery preview info dialog
• Fix bug affecting changing settings during active stabilization
• Date stamps:
  • Fix date stamp crash when compiling with hundreds of photos
  • Fix FFmpeg drawtext font path escaping on Windows
  • Fix drawtext date stamps not rendering (chained enable expressions)

For previous releases, see the full changelog.

• To run the application in a development environment, refer to the AgeLapse Documentation (Dev Setup).

• Documentation: https://agelapse.com/docs/intro/
• Demo Video: https://www.youtube.com/watch?v=vMOWSAHdwhA
• Contact: For suggestions, feature requests or bug reports:
  • Email agelapse@gmail.com, or open an issue on GitHub.

Contributions to AgeLapse are welcome. Please follow these steps:

1. Fork the repository
2. Create a new branch for your feature or bug fix
3. Make your changes with descriptive commit messages
4. Push your changes to your forked repository
5. Open a pull request explaining your changes