Tools lab · Images
Free Bulk Image Resizer
Resize multiple images at once for web, social, or thumbnails.
Bulk resizer
Upload several images, set your target size, and download everything as a ZIP.
Drop your image files here
or click to browse
Supports common formats such as JPG, PNG, and WebP.
💡 Browser security: Click twice if no file first timeHow this bulk resizer works
Step 1
Upload images
Select multiple images from your device in one go.
Step 2
Set dimensions
Provide width and/or height and choose if you want to keep aspect ratio.
Step 3
Download ZIP
Download all resized files as a single ZIP archive.
Frequently asked questions
What does this bulk image resizer do?
The tool lets you upload multiple images, apply the same width and height settings to all of them, and download the resized results together as a ZIP.
This removes the need to resize each file manually in a desktop editor and keeps your assets consistent across pages, ads, and social posts.
How should I choose width and height?
If you only care about one side, set just width or just height and keep aspect ratio enabled so images scale naturally without distortion.
If you set both width and height with aspect ratio on, the tool can scale based on one dimension and keep proportions; with aspect ratio off, it can stretch images to fit an exact box.
What does “maintain aspect ratio” mean?
Maintaining aspect ratio preserves the original proportions of each image so circles stay round and people do not look stretched or squashed.
Disabling this option forces every file into the same exact width and height, which can be useful for strict layouts but may change how some images look.
Will resizing affect image quality?
Downscaling large images to more reasonable dimensions usually improves performance without visible quality loss for typical web and app use.
Heavy upscaling of very small images can make them appear soft or pixelated, so it is better to start from higher‑resolution sources when possible.
Which formats are supported?
The uploader accepts common web image formats such as JPG, PNG, and WebP, and the resized images are returned using the same format they were uploaded in.
This keeps your existing pipeline simple while still letting you standardize dimensions across mixed sets of assets from different sources or tools.
How many images can I resize at once?
Practical limits depend on browser memory and backend configuration, but the tool is designed for typical batches like galleries, product collections, and blog image sets.
For extremely large folders with hundreds or thousands of files, consider splitting them into smaller batches so processing stays fast and reliable.
Is it safe to use this for client or product images?
When used over a secure connection, the tool can fit into a normal content workflow, but you should still follow your own policies on where files are stored and who can access them.
For highly sensitive assets or embargoed launches, prefer running the resizer on infrastructure you control and limit access to trusted team members only.
Frequently asked questions
What does this AI photo restorer actually do?
It can clean up noise, reduce scratches and dust, upscale low‑resolution photos, sharpen faces, and gently enhance colors so old images look clearer and more usable.
You choose which steps to apply, so you can keep the restoration subtle for archival work or push it further for social media and presentations.
Are my photos sent to any third‑party AI service?
No. All processing happens on the AI Herald server using local models and OpenCV pipelines, so your images are not sent to external APIs or cloud services.
This makes the tool suitable for more sensitive material, as long as it fits your own storage and retention policies.
Why can’t the tool perfectly recover every damaged photo?
Restoration is limited by the information still present in the file. Heavy blur, strong compression, or missing detail cannot be fully reconstructed by any algorithm.
The goal is to remove distracting artifacts and enhance what’s already there, not to invent a completely new version of the scene.
How should I choose which options to enable?
For lightly noisy scans, start with denoising only. For scratched prints, add scratch removal, and for very small images, enable super‑resolution as well.
Face enhancement is most useful for portraits and group photos; if it feels too strong, you can re‑run the pipeline with that option disabled.
Will the restored image always keep the original colors?
By default, the tool preserves the original tones as much as possible and only makes gentle adjustments to contrast and saturation.
If you enable color enhancement or colorization, the result becomes an educated guess based on the pixels, so it may not exactly match real‑world colors.
What kinds of images work best?
Scanned prints, slightly noisy digital photos, and images with thin scratches or dust specks respond best to these operations.
Extremely low‑resolution or heavily compressed images can be improved, but you should not expect them to look like native high‑resolution originals.
Can I run multiple versions and compare the results?
Yes. You can adjust the toggles, re‑run the pipeline as many times as you like, and download different versions to compare before you decide which one to keep.
This is especially helpful when balancing strong noise reduction or sharpening against preserving natural texture in faces and backgrounds.