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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

Mobile Import Note: To easily import a large number of photos into the mobile version, create a .zip file containing all files.

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.

The face detection model used by AgeLapse is platform-dependent. On Mobile, Google MLKit is used. On MacOS, Apple Vision is used.

• Massive performance improvements. Stabilization pipeline is 2-4x faster (platform-dependant).

• .HEIC support on Windows devices. Thanks to the user who wrote in and suggested this.
• Bulk image selection in the gallery. 3-dot menu in the upper right -> Select.

• Fixes #11: deleted photos could remain stuck in the generated video. Thanks @agnosticlines.
• Fixes #16 + #20: incorrect timezone and date metadata, could result in incorrectly broken streaks. Thanks @thelittlekatie and @Syumza.
• Fixes #23: the built-in camera could fail to initialize on Windows. Thanks @COHEJH.

• 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 [email protected], 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