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4Lesson 4 of 5

Editing Multiple Photos at Once

Use batch workflows to apply consistent object removal across large sets of images efficiently.

Learning Objectives

  • 1Set up a batch removal job using Magic Eraser's queue feature
  • 2Apply a saved removal mask to a series of images with the same composition
  • 3Monitor batch progress and flag images that need individual attention

When batch editing saves time

When you need to process dozens or hundreds of photos with similar removal needs, manual one-by-one editing is impractical. Magic Eraser's batch queue lets you upload an entire folder of images and define a removal rule that applies to all of them. You can specify an object category such as 'people' or 'text overlay,' and the AI will locate and remove matching elements in every image automatically. This is especially valuable for event photographers who need to remove the same signage or branding from hundreds of shots.

Setting up a batch workflow

For images that share the exact same composition, such as product photos taken on the same set, you can save a removal mask from your first edit and apply it to every subsequent image in the batch. This template-based approach guarantees pixel-identical placement of the removal zone across every frame. Adjust the mask once if the camera shifts slightly, and reapply. Template masks combined with batch execution can reduce a multi-hour editing session to just a few minutes of setup plus automated processing time.

Quality control across multiple images

During batch processing, not every image will produce a perfect result on the first pass. Magic Eraser flags images where confidence scores fall below a threshold, allowing you to review only the problematic files rather than inspecting every output manually. Sort the results by confidence score and focus your attention on the lowest-scoring images. This triage workflow ensures high overall quality while keeping your time investment proportional to the complexity of the set.

Key Takeaways

  • Batch queues with object-category rules automate removal across large image sets
  • Saved mask templates guarantee consistent edits on identically composed photos
  • Confidence-score triage lets you review only the images that need manual refinement