Resize Product Photos working example
Normalize shoes, bottles, and apparel into 2000×2000 catalog images.
Batch resize workflow
Resize Product Photos
Resize Product Photos with independent source inspection, a visible 2000×2000 Pad configuration, per-file predictions, and a stated 30-image public boundary.
No enlargement by defaultPer-image source inspection and predictionStatic images processed in the browser
Interactive preset
2000×2000 pad setup
Choose the sample or your image to start a live preview.
pictobank-resize-sample-autumn-walkway.jpgPrecomputed proof · no processing
- Predicted dimensions
- 2000×2000
- Resize behavior
- Padded frame
- Enlargement
- Prevented
Start the live previewChoose a source to unlock these settings.
Continue in Image ToolsYour visible settings carry forward.
Open in Image ToolsImage source and license
- Provider/source
- Unsplash
- Creator
- Wes Hicks
- License
- Unsplash License ↗
Copyright remains with Wes Hicks.
Open source link ↗Focused workflow
Resize Product Photos as an inspectable batch
Every file is inspected independently; the first image never becomes the geometry authority for the rest of the batch.
- 01
Add the real batch
Choose up to 30 supported static images for prepare consistent square product-photo canvases. Each file keeps its own source record.
- 02
Review exceptions
Compare every source against the 2000×2000 PAD prediction before processing.
- 03
Process and continue
Create browser outputs here or carry the same configuration into Image Tools for a broader workflow.
Intent-specific guidance
How to plan this batch workflow
Use a white frame for JPEG catalog exports or transparency for PNG/WebP cutouts.
The 2000×2000 target uses a 1:1 frame. Pad determines whether mismatched sources are contained, cropped, padded, or distorted.
What Pad does here
The complete source is placed inside an exact target canvas with a background area.
No-enlargement behavior
A source that is too small remains below the target, and the predicted dimensions are shown before processing.
Resize behavior
The page starts with PAD
The four choices below map directly to Pictobank’s canonical browser resize geometry.
Keep the whole image
Preserves proportions and keeps the complete source inside the target boundary.
Cover the frame
Preserves proportions and crops centered excess so the target is completely covered.
Add a frame
Keeps the complete image inside an exact canvas with transparent or white space.
Force exact edges
Changes source proportions to meet both target dimensions without crop or padding.
Accurate limitations
Boundaries stated before processing
No zero-loss promise, no hidden enlargement claim, and no assumption that every browser or destination accepts every format.
Marketplace background and product-occupancy rules still require manual review.
The public embedded workflow accepts up to 30 static images and 100 MB per file; device memory can impose a lower practical boundary.
Browser canvas export is sRGB and does not preserve the source file’s original embedded metadata.
Technical details
The exact configuration at a glance
The embedded tool, Image Tools handoff, visible guidance, and page metadata all use this same starting configuration.
- Output frame
- 2000×2000 · 1:1
- Resize policy
- Pad · enlargement prevented
- Static inputs
- JPEG, PNG, WebP, and browser-decodable AVIF
- Embedded output
- JPEG
- Public batch boundary
- Up to 30 images · 100 MB per file
- Processing
- Browser-local resize · aggregate analytics only
FAQ
Resize Product Photos resize questions
What configuration does Resize Product Photos load?
It opens with 2000×2000, Pad, enlargement prevented, and JPEG output.
Will every output have the exact target dimensions?
Only when the source is large enough for the selected policy. Undersized files remain smaller while enlargement is off.
Can several source sizes be processed together?
Yes. Each selected image is inspected and predicted independently; the batch never assumes every file matches its first image.
Are filenames or image pixels sent to analytics?
No. Analytics contain page-level and aggregate outcome data, not filenames, image bytes, source dimensions, object URLs, or signed URLs.