Category: Post-Production, Technical Process

Definition: The process of applying identical or similar edits to multiple images simultaneously, using presets, automated tools, or AI to efficiently process large volumes of product photography with consistent results.

Why It Matters: Dramatically reduces editing time (90%+ time savings); ensures consistency across large catalogs; reduces labor costs; enables rapid product launches; makes professional editing accessible at scale.

Use Cases: Processing entire product collections, applying consistent color grading, background removal at scale, resizing for multiple platforms, watermarking, adjusting exposure across shoots, marketplace preparation.

Example of Real Use Case: A fashion retailer receives 2,000 product photos from a shoot. Using batch editing with saved presets, they complete color correction, cropping, background cleanup, and export in 3 hours—work that would take 2 weeks manually.

Software/Service: Adobe Lightroom, Capture One, Photoshop Actions, Photo Mechanic, AI batch services (Pixelz, PixelBin)

Common Issues: One-size-fits-all approach missing individual image needs, errors propagating across entire batch, difficult with highly variable images, preset drift over time, missing subtle issues in individual images.

Do's and Don'ts:

• ✓ Do test presets on sample images first

• ✓ Do review batch results for errors

• ✓ Do create separate presets for different product types

• ✓ Do save and version control presets

• ✗ Don't apply same preset to drastically different images

• ✗ Don't skip quality control checks

• ✗ Don't ignore images that need individual attention

Related Terms: AI Retouching, Color Grading, Retouching, SKU Consistency, Workflow Automation

Also Known As: Bulk Editing, Mass Editing, Automated Editing