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## [0.12.1](https://github.com/siddharthksah/Stirling-Image/compare/v0.12.0...v0.12.1) (2026-03-27)
### Bug Fixes
* **docs:** clean up footer llms.txt links ([a4d4d36](https://github.com/siddharthksah/Stirling-Image/commit/a4d4d368286a80decf73563ca6d7e7cae119099a))
Stirling Image - The Open-Source Image Processing Platform
Stirling Image is a powerful, open-source image processing platform. Self-host it in a single Docker container with a private API. Resize, compress, convert, remove backgrounds, upscale, run OCR, and more — without sending images to external services.
Key Capabilities
- 33+ image tools — Resize, crop, compress, convert, watermark, OCR, and more.
- AI-powered — Background removal, upscaling, object erasing, face blurring — all running locally.
- Automation & workflows — Chain tools into reusable pipelines. Batch process up to 200 images at once.
- Developer platform — REST API for every tool. Swagger docs included.
- Your data stays yours — No telemetry, no tracking, no cloud. Single Docker container on any architecture.
For a full feature list, see the docs: https://siddharthksah.github.io/Stirling-Image/
Quick Start
docker run -d -p 1349:1349 -v stirling-data:/data ghcr.io/siddharthksah/stirling-image:latest
Then open: http://localhost:1349. Default login: admin / admin.
For full installation options, see the Getting Started Guide.
Resources
Support
- Bug Reports: GitHub Issues
Contributing
Contributions welcome. Open an issue first so we can talk about what you have in mind.
License
Languages
TypeScript
91%
Python
3.5%
JavaScript
2.4%
Shell
1.6%
Astro
1.1%
Other
0.3%

