Stamp images with a tiled, diagonal grid watermark that's hard to crop or inpaint out — CLI (Python/Pillow) with jitter, blend modes, invisible LSB backup mark, plus a no-build browser tool.
-
Updated
Sep 18, 2026 - Python
Stamp images with a tiled, diagonal grid watermark that's hard to crop or inpaint out — CLI (Python/Pillow) with jitter, blend modes, invisible LSB backup mark, plus a no-build browser tool.
An autonomous, hands-off content pipeline that orchestrates media sourcing, automated quality vetting, watermarking, and multi-platform social media distribution.
A minimal Tkinter desktop app for adding text watermarks to images, fully local with no third-party uploads. Upload a JPEG/PNG, type your watermark, preview it live, and save as PNG or JPEG. Built with Python and Pillow for image processing, with a clean dark-themed interface.
An open-source digital image forensics and OSINT metadata metadata extractor built for Linux using Python and Pillow. Passively audits raw EXIF directories across single files or bulk folders to isolate hardware specs, device tracking strings, and GPS coordinates (Possibly).
A fast and lightweight desktop application built with Python and CustomTkinter to easily generate, view, and auto-save QR codes.
A heavily expanded, multi-language desktop track layout editor for designing, vectorizing, and exporting race track layouts (.TED) with advanced curve and elevation tools.
An auto-jump bot for the Chrome Dino game, built with Python, PyAutoGUI, and Pillow. It captures the screen area ahead of the dino, detects obstacles by pixel color matching, and automatically presses Space to jump. Includes configurable detection zone, color tolerance, and jump cooldown.
Fast, offline-first batch image compressor and utility dashboard. Compress PNG, JPEG, WebP & AVIF strictly under 500 KB or custom size limits for government portals, job applications, and web performance. Features visual curtain comparison, PDF export, SQLite analytics, and password-protected admin portal.
A Flask web app that extracts the top 10 dominant colors from any uploaded image as HEX codes, using Pillow and NumPy pixel frequency analysis. Features a drag-and-drop upload interface, clickable swatch cards, and click-to-select HEX codes, with a dark-themed, minimal UI.
To associate your repository with the pillow-python topic, visit your repo's landing page and select "manage topics."