Main Page: https://stirling-image.github.io/stirling-image/
Git: https://github.com/stirling-image/stirling-image
Licence: AGPL-3.0 (dual-licensed; commercial licence available separately)
Dockerfile: Yes - one docker file image on Docker Hub: stirlingimage/stirling-image, see https://stirling-image.github.io/stirling-image/guide/getting-started.html
Demo: No public demo available
Summary:
Stirling-PDF, but for images – same concept, different file type
30+ tools: resize, crop, compress, convert (JPEG/PNG/WebP/AVIF/TIFF), watermark, colour adjust
Local AI: background removal, upscaling, object erasure, face blurring, OCR – all on-device, no outbound calls
Batch processing up to 200 files; chainable pipelines for reusable workflows
Single container, no external dependencies (no Redis, no Postgres)
Full REST API with interactive docs at /api/docs
Multi-arch: AMD64 and ARM64 (Intel, Apple Silicon, Raspberry Pi)
Actively developed – v1.2.1 released 3 April 2026
Notes:
Natural companion to Stirling-PDF, which already has a Cloudron package
Clean deployment story – env-var configuration, named volume for persistence
Fully offline AI makes it suitable where images can't leave the machine
Docker image is ~9.9 GB due to bundled AI models – worth considering on smaller instances
AGPL licence is standard for this type of tool, no complications for packaging
Alternative to / Libhunt link: Not yet listed on LibHunt (project is very recent). Functional alternative to remove.bg, Squoosh, Cloudinary image transformations, and ILoveIMG.
Screenshots:
[image: dashboard.png]
