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Efficiently manage and update photo EXIF data with ease. Built with PyQt6 and Piexif, this tool offers intuitive batch editing of the dates and coordinates of an image.

Project description

ExifDateGeoBatch

Description

ExifDateGeoBatch - a user-friendly GUI tool designed to simplify the process of batch editing the EXIF data of your photographs, specifically focusing on coordinates and creation dates. Whether you're organizing a vast digital collection or updating the metadata of your personal photo library, ExifDateGeoBatch makes it esay and efficient.

Features

  • Batch Editing: Edit the EXIF data of hundreds of photos at once.
  • Map Widget Integration: Easily assign geographic coordinates to your photos using an intuitive map interface.
  • Date Picker Widget: Update the creation date of your images with a simple-to-use date picker.
  • User-Friendly Interface: A clean, intuitive interface makes it easy to get started.
  • Preview Changes: Preview the changes you're about to make before applying them to ensure accuracy.
  • Cross-Platform: ExifDateGeoBatch is compatible with Windows, macOS, and Linux, as long as you have Python 3.x installed.
  • Group Tagging: Organize your photos into groups and tag them with consistent EXIF data.

Prerequisites

  • Ensure you have Python installed on your system (Python 3.8 or later is recommended).
  • [Optional] Install a Git client to clone the repository (alternatively, you can download the code as a ZIP file).

Installation

  1. Clone the repository or download the source code:
git clone https://github.com/Cornul11/ExifDateGeoBatch.git
cd ExifDateGeoBatch
  1. Create a virtual environment and activate it:
python -m venv venv
  • Windows:
.\venv\Scripts\activate
  • macOS/Linux:
source venv/bin/activate
  1. Install the required dependencies:
pip install -r requirements.txt

Usage

Run the application by executing the main script:

python main.py

Project details


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ExifDateGeoBatch-0.1.1.tar.gz (20.0 kB view hashes)

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ExifDateGeoBatch-0.1.1-py3-none-any.whl (22.3 kB view hashes)

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