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Hi HN! I built Image Scaler because I was frustrated with existing free online image tools. They either limit batch processing to a handful of images, require login/registration, or add watermarks. And they usually upload your images to unknown servers.

I originally made this for myself when I needed to resize large batches of product photos. I wanted something fast, lightweight, and privacy-respecting that could handle real workflow volumes without artificial restrictions.

What makes it different:

- Complete client-side processing using Canvas API, so images never leave your browser

- Batch processing up to 60 images simultaneously (most free tools cap at 3-10)

- No login, no watermarks, no usage limits

- Traditional interpolation algorithms (nearest-neighbor, bilinear, bicubic) instead of AI black boxes

- Supports JPG, PNG, and WebP

- Fast and lightweight (built with vanilla JavaScript)

Technical notes: The entire processing pipeline runs in your browser's Canvas API. There's no server upload step, which eliminates privacy concerns and makes it surprisingly fast even for large batches. I chose traditional algorithms over AI because they're transparent, predictable, and work well for most use cases (pixel art, web images, photo preparation).

Feel free to try it out: https://image-scaler.com