Batch Editing for Large Product Catalogs
Scale your product photo editing to hundreds or thousands of SKUs using automated batch pipelines.
Learning Objectives
- 1Build a reusable batch pipeline with background removal, enhancement, and export steps
- 2Apply SKU-specific naming and folder conventions for marketplace bulk upload
- 3Set quality thresholds that automatically flag images needing manual review
Scaling edits from one product to hundreds
Large catalogs with hundreds or thousands of SKUs cannot be edited one image at a time. Magic Eraser's batch pipeline lets you chain together multiple processing steps: background removal, auto-enhancement, shadow addition, resizing, and format conversion all execute sequentially on every image in a folder. Define the pipeline once, then point it at any folder of raw product photos. Each step can be configured individually, so you might use aggressive sharpening for small items like jewelry but lighter sharpening for furniture where texture is already visible.
Maintaining consistency across a catalog
Organizing output files correctly is just as important as editing them. Most marketplaces require specific file naming conventions tied to SKU or ASIN identifiers. Configure the batch export to rename each file according to your naming template, such as SKU_main.jpg for the primary image and SKU_alt1.jpg through SKU_alt8.jpg for secondary images. Set the output folder structure to mirror your marketplace's bulk upload format so you can drag and drop the entire folder without further reorganization.
Automating repetitive product edits
Automated quality checks prevent bad images from reaching your live listings. Set a minimum resolution threshold, a background whiteness tolerance (for example, requiring the average background pixel value to be above 252 out of 255), and an edge-sharpness score. Images that fall below any threshold are moved to a review queue while passing images proceed directly to the export folder. This automated gatekeeping maintains consistent catalog quality even when processing thousands of images overnight without human supervision.
Key Takeaways
- ✓Chain removal, enhancement, shadow, resize, and export into a single reusable pipeline
- ✓Automate file naming by SKU and folder structure to match marketplace bulk-upload formats
- ✓Quality thresholds automatically quarantine subpar images for manual review