GPUImage

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2876 stars · 373 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GPUImage is a BSD-licensed framework for GPU-accelerated image and video processing on iOS and Mac, letting developers apply filters and effects to images, live camera video, and movies without writing OpenGL ES/Metal boilerplate. It comes in Objective-C (GPUImage), Swift/OpenGL (GPUImage2), and Swift/Metal (GPUImage3) variants.

Use cases

• apply real-time filters to live camera video on iOS
• process images with GPU-accelerated effects
• write custom GPU shader filters for photos and video
• add photo and video effects to a mobile app
• replace slow CPU-based image filtering with GPU processing
• build a camera app with live filtered previews

When to choose

• you need custom GPU filters that Core Image cannot express
• you want fast real-time filtering of camera video on Apple platforms
• you prefer a simpler interface over raw OpenGL ES/Metal code

When to avoid

• you need advanced Core Image features like facial detection
• you target non-Apple platforms
• you need very large-radius Gaussian blurs where Core Image is faster
• you want a framework with frequent updates and modern platform support

Facets

framework · maturity maintenance

image-processing video-processing graphics image-processing mobile-development graphics cpp gpu-accelerated opengl-es metal camera-filters shaders real-time-processing video ios macos swift

Member repositories

For agents

markdown · JSON · MCP: product_card(name="BradLarson/GPUImage3")