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Bulk extract and organize EXIF metadata from images and videos

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MetaMapper

MetaMapper is a lightweight script designed to extract and organize EXIF data from images and videos.

Features

  • Extract EXIF data from multiple images and videos in a selected folder
  • Generate reports in PDF or text format
  • User-friendly interface

Supported Video and Image Extensions

MetaMapper supports the following tested image and video file formats for extracting EXIF data:

Supported Image Extensions

  • .jpg
  • .jpeg
  • .png
  • .bmp
  • .gif
  • .tiff

Supported Video Extensions

  • .mp4
  • .mov
  • .avi
  • .mkv
  • .wmv
  • .flv

Installation

  1. Clone the repository:

    git clone https://github.com/pteras/MetaMapper.git
    cd MetaMapper
  2. Install the required dependencies:

    pip install -r requirements.txt
  3. Run the application:

    python metamapper.py

Requirements

  • Python 3.x
  • Pillow for image processing
  • hachoir for video metadata extraction
  • FPDF for PDF report generation
  • tkinter for the graphical user interface

Screenshots

Main Interface

Contributing

Please fork this repository and submit a pull request with your improvements.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments


This has been a study project during my exchange. If you have any questions, let me know.

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