Batch Photo Editing Workflow
Step 1: Culling (Select the Best Shots)
Before editing anything, eliminate photos that don't make the cut. Culling typically removes 40-70% of images, saving enormous editing time. First pass: flag obvious rejects. Blurry, eyes closed, missed focus, duplicate compositions, test shots. Be ruthless. If it's not clearly good, it's a reject. Second pass: select the best from each group. If you took 10 shots of the same scene, pick the 2-3 best. Different expressions, compositions, and moments. Use star ratings or color labels to categorize. 5 stars = hero (gets individual attention). 3-4 stars = good (gets base corrections). 1-2 stars = reject (skip entirely). Tools for culling: Lightroom, Photo Mechanic (fastest for large batches), or even your operating system's photo browser for basic sorting.
First pass: reject the bad
Blurry, missed focus, eyes closed, duplicates. Remove 40-70% of images.
Second pass: pick the best
From similar groups, select the 2-3 strongest. Mark heroes and good-enough separately.
Rate and organize
Star ratings or color labels. Heroes get individual attention. Good gets batch corrections.
Step 2: Base Corrections for All Images
Apply the same foundational corrections to all selected images shot under similar conditions. White balance: if all images were shot under the same lighting, correct one image's white balance and copy to all. This single step fixes color cast across the entire batch. Exposure: apply the same brightness and contrast adjustment to images shot in the same conditions. Individual fine-tuning comes later for specific images that need it. Lens corrections: apply lens profile corrections (distortion, vignetting, chromatic aberration) to all images from the same lens. This is automatic in Lightroom with the correct lens profile. Sharpening and noise reduction: set base levels appropriate for the camera and ISO used. Higher ISO batches need more noise reduction.
Correct one image perfectly
Choose a representative image. Fix white balance, exposure, and lens corrections.
Copy settings to all similar images
Select all images from the same lighting setup and paste the base corrections.
Group by lighting conditions
Indoor and outdoor shots need different corrections. Group them and apply different base settings.
Step 3: Syncing Edits Across Groups
Images from the same session often fall into natural groups: same location, same lighting, same subject. Each group can be synced with shared edits. In Lightroom, select a group of images, edit one, then Sync Settings to apply the same adjustments to the entire group. Choose which settings to sync (white balance, exposure, lens corrections, sharpening). Presets save time for recurring workflows. If you shoot the same type of content regularly (product photos, headshots, real estate), create presets for your standard corrections. Apply with one click. Be careful about syncing everything blindly. Exposure, white balance, and lens corrections sync well. Crop, spot healing, and local adjustments are image-specific and shouldn't be synced.
Group similar images
Same lighting, same location, same subject. These share the same base corrections.
Edit one, sync to group
Perfect one image, then sync white balance, exposure, lens corrections to the group.
Create presets for repeated work
If you shoot the same type regularly, save your workflow as a preset. One-click application.
Batch Workflows by Use Case
E-commerce product photography: cull duplicates, apply consistent white balance and exposure, sync white background creation, crop to consistent dimensions, export at platform-required sizes. A batch of 50 products can be processed in 30-60 minutes with presets. Event photography: cull aggressively (keep 10-20% of shots), apply base exposure and white balance correction, individually adjust hero images (first dance, speeches, group shots), export at two sizes (high-res delivery + social media). Real estate photography: cull room duplicates, apply HDR merge or exposure blending, correct verticals, apply consistent brightness and warmth, crop to consistent orientation, export for MLS and web. Headshot sessions: cull expressions, apply consistent lighting/color correction, individually retouch hero images, batch export at multiple sizes (web, print, LinkedIn).
Define your output requirements
What format, size, and quality does the end use require? Work backward from the deliverable.
Create a repeatable process
Document your steps. Apply the same process every time for consistency and speed.
Time the hero images
Don't spend equal time on every image. 80% get batch treatment. 20% get individual attention.
Batch Export Settings
Export settings should match the destination. Different platforms and use cases require different formats, dimensions, and quality. For web/social: JPEG at 80-85% quality, resized to platform requirements (1080px for Instagram, 2000px for websites), sRGB color space. For print: JPEG at 95% or TIFF, native resolution (don't downscale), sRGB or Adobe RGB depending on the printer. For client delivery: JPEG at 90-95%, full resolution, organized in named folders. Rename files during export. 'ProductName_01.jpg' is more useful than 'DSC_4732.jpg'. Most export tools support automated renaming with sequence numbers. Create export presets for your common workflows. 'Instagram Export', 'Client Delivery', 'Print Ready' presets eliminate the need to configure settings each time.
Match format to destination
Web: JPEG 80-85%, resized. Print: JPEG 95%/TIFF, full resolution. Client: JPEG 90%+.
Rename files
Descriptive names: 'ProductName_Front_01.jpg' not 'IMG_4732.jpg'. Automated renaming in export.
Create export presets
Save common export configurations as presets for one-click batch export.
AI-Assisted Batch Editing
AI tools are increasingly capable of batch operations. While most AI editors handle one image at a time, you can apply the same AI edit to a batch through scripting or repeated application. Common AI batch tasks: background removal for product photography (process 50 products from any background to white), consistent skin retouching for headshot sessions, and sky replacement across a real estate shoot. For background removal batches: upload each product photo and say 'remove background and make pure white'. The AI handles each individually but produces consistent results because the instruction is the same. For consistent editing: apply the same prompt to every image in a set. 'Brighten the photo, warm the colors slightly, and increase contrast' applied consistently produces uniform results across a batch.
Use consistent prompts
The same description applied to each image produces consistent results across the batch.
Process repetitive tasks with AI
Background removal, basic corrections, and standard enhancements are efficient with AI.
Save hero shots for individual AI attention
Batch the routine work. Give the 20% hero images individual, detailed AI editing prompts.
Frequently Asked Questions
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