All-in-one image processing toolbox for local compression and conversion.
Project details
ImgCompress is a self-hosted image processing toolbox that offers seamless compression, format conversion, and AI background removal in a single interface. Supporting over 70 input formats and ensuring privacy, this solution works entirely on your server, giving users the control they need while maintaining an intuitive experience.
ImgCompress is an advanced self-hosted image processing server designed for efficiency and privacy. Operating entirely within a single Docker container, it streamlines the processes of image compression, format conversion, and AI-powered background removal—all without relying on cloud services. Your files remain on your hardware, ensuring complete control over your data.
Avoid the pitfalls of uploading sensitive images to external services. ImgCompress’s bundled AI model executes background removal directly on your machine, maintaining confidentiality throughout the process.
The application allows each upload to feature its own cropping overlay, enabling precise adjustments according to user preferences while preserving the workflow efficiency.
To initiate the service, simply run:
docker run -d \
--name imgcompress \
-p 3001:5000 \
karimz1/imgcompress:latest
Access the user interface at localhost:3001 to start processing images within moments.
ImgCompress has been engineered with user privacy in mind. The following aspects are guaranteed:
The application caters to a global audience, supporting twelve languages, and invites community contributions for translations.
ImgCompress is featured in various curated lists, including Awesome Self-Hosted, acknowledging its value and trust within the self-hosted software community.
The ImgCompress project is open for contributions. Whether offering suggestions, reporting issues, or submitting code changes, each contribution helps enhance the tool.
For additional details, visit the official documentation or check the setup guide for comprehensive installation instructions.
Comments
0Start the conversation
Share the first comment.