How to use Image Compressor

Image Compressor belongs to the image utility group on ToolHub, and it earns its place by being predictable. Compress images locally with quality and size controls. This guide explains the use cases it fits, the habits that improve results, and the errors that show up most often.

When Image Compressor is the right tool

Image chores are a short pipeline, and each tool here handles one stage of it well.

• Prepare images for blog posts and docs.
• Shrink email attachments before sending.
• Create lighter assets for static sites.
• Batch-prep screenshots for tickets.

Getting a reliable result

Crop before resizing and resize before compressing, so the encoder only works on pixels you intend to ship. Keep a lossless master and export delivery copies from it, since repeatedly re-saving a lossy file compounds the damage.

• Start around quality 0.75–0.85 for photos.
• Set max edge to your display size needs.
• Compare savings before overwriting originals.

Mistakes that waste time

• Expecting lossless results from JPEG re-encode.
• Setting max size too low and causing muddy output.
• Uploading huge panoramas beyond the megapixel guard.
• Assuming GIF animation is preserved after compress.

Privacy and local processing

Images are decoded and processed in your browser with Canvas APIs, and published size limits protect low-memory devices. Files are never uploaded.

Related tools and reading

Open Image Compressor to try it with your own input. Nearby utilities include Image Cropper and Image Format Converter. For background, read Image optimisation for the web, and browse the Image Toolkit collection for the rest of the cluster.