AutoGifTagger is a simple yet powerful Python automation tool that helps creators and marketers quickly add tags to their GIFs without the hassle of manual typing. Using PyAutoGUI automation, GifTagger allows you to store, manage, and paste your most-used tags directly into platforms like GIPHY, saving time and boosting productivity.
# 🏷️ AutoGifTagger: Semantic Media Organization
AutoGifTagger is a high-efficiency utility built to solve the "discovery problem" in bulk media production. By automating the assignment of descriptive tags and metadata, this tool ensures that your GIF collections are categorized, searchable, and optimized for search engine algorithms.
Manually tagging hundreds of GIFs for GIPHY or internal databases is a bottleneck. AutoGifTagger automates this workflow, allowing for consistent naming conventions and high-intent keyword integration.
- Bulk Processing: Apply tag sets to entire directories in seconds.
- Smart Categorization: Uses file-naming patterns or directory structures to generate relevant tags.
- API Ready: Generates metadata files (JSON/CSV) that can be piped directly into the Auto_gif_uploader-Giphy.
- SEO Optimized: Built with a focus on "Search Intent" to maximize asset visibility.
- Language: Python 3.12
- Data Format: JSON / CSV / EXIF
- Modules:
os,pathlib,json
This tool acts as the "Editor" in your pipeline:
- Extract: YouTube2GIF
- Tag: AutoGifTagger (This Project)
- Upload: Auto_gif_uploader-Giphy
Developed by Hariprajwal | SEO & Automation Specialist