Discover the best Image Processing open source repositories on GitHub. Explore trending tools, live star counts, source code, and developer projects updated daily.
AI-assisted RAW photo developer: GPT vision advisor proposes an EditRecipe, a deterministic Rust engine renders it — Lightroom-compatible XMP sidecars, 24 RAW formats + baked images, measured (not guessed) Lightroom mask geometry, local GUI/web UI, AI denoise & segmentation sidecars
Remove visible and invisible AI watermarks from images and video, and AI provenance metadata from images, video, and audio. Python library, CLI, and agent skill for SynthID, C2PA, EXIF, IPTC, XMP, and common generative-AI marks.
Community-built comprehensive 2D content creation appplication for graphic design, digital art, and interactive real-time motion graphics powered by a node-based procedural graphics engine
Open Source Computer Vision Library
Free, open-source RAW editor for Linux, Android, Windows and macOS. GPU-accelerated, non-destructive, with masks, HDR merge and local AI.
An Android app to scan your documents — simple and respectful
🐍 Geometric Computer Vision Library for Spatial AI
Fast and secure standalone server for resizing, processing, and converting images on the fly
Cross-platform desktop GUI app to clean image metadata
Agent-first Creative Workspace
Open-source RAW photo processing and digital asset management software.
🦀 Low-level 3D Computer Vision library in Rust
Cross-platform library for converting natural raster images into clean SVGs - fast, precise and configurable.
A framework for high-performance medical image processing, neural network inference and visualization
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
MagicScaler high-performance, high-quality image processing pipeline for .NET
We write your reusable computer vision tools. 💜
High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
🌊 A flexible and fun JavaScript file upload library
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.