Images are everywhere, but working with them is often more complicated than it should be.
People need smaller or correctly formatted images for:
- Online applications
- Email attachments
- Government forms
- Website uploads
- Profile pictures
- Social media posts
Many existing tools make users guess the correct quality, dimensions, or compression settings. I wanted to create something simpler.
The idea behind ImgSolve
I started building ImgSolve around one guiding principle:
Simple tools should feel simple.
The basic experience should be straightforward:
- Choose what you need.
- Upload an image.
- Process it.
- Download the result.
Users should not need to understand compression algorithms or image encoding settings to complete an everyday task.
What ImgSolve currently offers
ImgSolve provides browser-based tools for:
- Compressing images to specific target sizes
- Converting HEIC images to JPG
- Converting between JPG, PNG, WebP and other formats
- Resizing images for websites, forms and social platforms
One feature I have focused on is target-size compression. Instead of asking users to select an unclear quality percentage, the tool lets them choose a practical result, such as 20KB, 50KB or 100KB.
Why target-size compression is interesting
Compressing an image to a target size is more involved than simply setting JPEG quality once.
A basic approach is:
while (result.size > targetSize) {
reduceQuality();
encodeImageAgain();
}
A better implementation can search between quality values, keep the best result under the target, and reduce the image dimensions only when quality adjustment is not enough.
This creates a better balance between:
- File size
- Image dimensions
- Visual quality
- Processing time
Privacy matters
Images can contain personal documents, family photos and other sensitive information. That is why ImgSolve is designed as a privacy-first toolkit, with supported image processing performed locally in the browser.
Browser-based processing can also make the experience faster because users do not need to wait for an image to be uploaded to and downloaded from a remote server.
What I’m learning
Building ImgSolve is helping me learn more about:
- Browser image-processing APIs
- File formats and encoding
- Performance optimization
- Product design
- Technical SEO
- npm package publishing
- Building tools around real user outcomes
I’m also working on small open-source npm utilities based on practical image tasks, including target-size compression and HEIC-to-JPG conversion.
What comes next
I plan to continue adding useful image tools while keeping the interface focused and easy to understand.
If you work with browser-based image processing or regularly use image utilities, I would appreciate your feedback.
You can try the tools at ImgSolve.com.
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