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video-metadata

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This repository contains a series of 4 jupyter notebooks demonstrating how AWS AI Services like Amazon Rekognition, Amazon Transcribe and Amazon Comprehend can help you extract valuable metadata from your video assets and store that information in a Graph database like Amazon Neptune for maximum query performance and flexibility.

  • Updated Nov 26, 2021
  • Jupyter Notebook

DateFrame organizes photo and video libraries around their capture date. It can rename media, repair date metadata, import from iCloud Photos on Windows, keep supported sidecars and Apple Live Photo pairs together, and resume long operations from detailed logs.

  • Updated May 29, 2026
  • Python

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