
Smolr
Free image compression and conversion for macOS
Details
- Categories
- Developer ToolsDesign Tools
- Target Audience
- DesignersDevelopersContent Creators
- Platforms
- Desktop
About Smolr
Smolr is a free and open-source macOS application designed for local image processing. You can compress and convert your images into modern formats like WebP, AVIF, and JPEG XL to save space and improve performance. Because all processing happens locally on your machine, your data remains private and secure. It offers a streamlined workflow for anyone needing to optimize images for the web or personal storage without relying on cloud-based services.
Product Insights
Smolr is an open-source macOS desktop application that enables local image compression and conversion into modern formats like WebP, AVIF, and JPEG XL. This tool prioritizes privacy by processing all files on the user's hardware rather than relying on external web services.
- Native macOS desktop support for high-performance local image processing.
- Open-source transparency allows for secure and private data handling.
- Supports modern web formats including WebP, AVIF, and JPEG XL.
- Streamlined workflow specifically for content creation and SEO optimization.
Ideal for: Designers, developers, and content creators who need to optimize web graphics locally for SEO and performance without using cloud services.
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Comments (4)
I love the name! Since you're using libjxl are you also using Jpegli for Jpeg image?
Love the simplicity of it
Cool✨
I made Smolr: batch image conversion on your Mac, fully local, open source. Very excited to get feedback and continue improving the app!
@hello7565 The download button on Smolr isn’t working — could you please check it? The app looks simple and lightweight, and I often convert images to WebP for marketing, so it’s a great fit for me.
@hello9891 can you tell me more? I just tried on multiple browsers and it works. It opens a modal then you can set a price if you want (0$ works) And it sends you to payhip to download. Also on GitHub https://github.com/jimjimca/Smolr