Browser-local limits
Canvas-based export is browser dependent. PNG is broadly available; JPEG/WebP quality and support can vary, and metadata may not be preserved through canvas re-encoding.
Convert up to 40 JPG, PNG, WebP, GIF and BMP images to JPG, PNG, WebP or browser-supported AVIF in a private batch. Compare actual output sizes and download one ZIP.
One format for every image · optional resize · per-file results · one ZIP. JPEG removes transparency (white background); PNG and WebP can preserve it. AVIF depends on the device browser.
Strict limits are verified using actual output bytes. If a limit is impossible, that file is marked over target instead of pretending it passed.
PNG compression is lossless in Canvas, so quality has no effect. GIF input is converted as a still first frame. Animation, EXIF and ICC profiles are not retained. AVIF export requires browser encoder support.
Run “Convert all” above first. This layer reads those exact browser-created outputs, shows a compact visual gallery, totals the batch, and can bundle the converted files into one local ZIP without re-encoding them.
ZIP export packages the existing converted blobs; it does not run another conversion pass.
Profile a local conversion batch with formats, total bytes, output settings, compression savings and practical browser-memory guidance.
Use a flagship page for the highest-demand resize, compression, crop and conversion jobs; specialist image tools remain available from the full hub.
Canvas-based export is browser dependent. PNG is broadly available; JPEG/WebP quality and support can vary, and metadata may not be preserved through canvas re-encoding.
The existing converter processes each image locally and reports dimensions and output sizes. The batch-export workspace adds a visual result gallery and one ZIP download so you can confirm the generated set before moving dozens of files into another workflow.
Changing PNG to JPEG may remove transparency and introduce lossy compression, while WebP quality behavior depends on the browser encoder. Pick the output format for compatibility first, then tune dimensions and quality for the delivery target.
Bundling converted files into one ZIP makes transfer easier but does not make the images smaller in the same way as re-encoding. Inspect per-image and total output sizes before assuming the archive itself solved an image-weight problem.
A compressed image file can be small while its decoded bitmap occupies much more memory. Large dimensions multiplied across many files can exhaust a browser tab even when the selected source files look modest on disk, so split unusually large batches.
Canvas-based conversion may not preserve EXIF, animation, color profiles or every codec-specific feature. Keep the original files and test representative outputs in the site, application or print workflow that will actually consume them.