Turn a folder of raw product shots into consistent, on-brand images
Batch process product photos into consistent, branded catalogue images with automated cropping, backgrounds, and color correction.
How it works today.
You shoot dozens of products in natural light, then spend hours in Photoshop removing backgrounds, adjusting white balance, and cropping to the same dimensions. Each image needs the same sequence: remove background, adjust exposure, crop to square, add subtle shadow, export at three sizes.
Your catalogue looks inconsistent because you rush the last few images or skip steps when deadlines hit. Products shot on different days have different color temperatures, and your backgrounds vary from pure white to slightly gray depending on your energy level.
Before you start.
All of it has to be true, or step one fails in a way that is annoying to debug.
- Raw product photos in a single folder, shot against a plain background
- Brand guidelines document with your preferred background color, shadow style, and crop ratios
- Access to an AI image editing tool like Photoshop's generative fill, Remove.bg API, or similar background removal service
- Write access to your product catalogue system or image hosting folder
The steps.
Upload your raw product folder to an AI batch processing tool
Choose a tool that handles background removal and batch editing like Canva's Background Remover, Adobe's batch processor, or a custom workflow in Zapier. Upload all images at once rather than processing individually. Check that the tool preserves your original file names for easy matching later.
Set up your background removal and replacement parameters
Configure the tool to remove existing backgrounds and replace with your brand standard. Most tools let you upload a sample or specify hex codes. Test on 2-3 images first to verify the edge detection works cleanly on your product types.
Paste thisRemove the background from this product image and replace it with a clean white background (#FFFFFF). Maintain sharp edges around the product and preserve all original lighting and shadows on the product itself.
Apply consistent cropping and sizing rules
Set up batch cropping to your catalogue standards - typically square for grid layouts or 4:5 for vertical feeds. Configure the tool to center products automatically and maintain consistent padding around each item. Export at your required dimensions, usually 1080x1080 for social and 2000x2000 for web.
Batch adjust color temperature and exposure
Apply the same color correction to all images to account for different shooting conditions. Most batch tools let you create a preset that adjusts white balance, contrast, and saturation. Save this preset for future product shoots.
Paste thisAdjust this product image to have neutral white balance suitable for e-commerce. Increase contrast by 10%, boost shadows slightly, and ensure the white background is pure white without being blown out.
Add consistent drop shadows or styling elements
Apply your brand's shadow style across all images - either subtle drop shadows for depth or no shadows for a flat, modern look. Configure the shadow angle, opacity, and blur distance to match your existing catalogue. This step often requires manual review if your products have complex shapes.
Generate multiple export sizes in batch
Export each processed image in all required sizes: thumbnail (300x300), web display (1200x1200), and high-res print (2400x2400). Name files with consistent suffixes like productname_thumb.jpg, productname_web.jpg. Check that file sizes stay under your platform limits.
Review edge cases and complex products manually
Check images with transparent elements, reflective surfaces, or fine details like jewelry chains. These often need manual touch-ups that batch processing misses. Flag any products that need individual attention and process those separately.
Upload processed images to your catalogue system
Use your platform's bulk upload feature or API to replace old product images. Match filenames to product SKUs to automate the replacement. Test that images display correctly across your website, mobile app, and any third-party marketplaces.
What you keep.
Automating the typing does not move the accountability. These stay with a person.
- Final approval of which images go live in your catalogue
- Quality control for products with complex shapes or materials that batch processing handles poorly
- Brand consistency decisions when the automated results don't match your vision
- Coordination with your marketing team on which products need hero shots versus standard catalogue treatment
Once it works.
The first run is the demo. These are where the time actually comes back.
Set up folder monitoring so new product photos automatically enter the processing pipeline when uploaded to a designated folder.
Run batch processing every Tuesday morning to handle all products shot the previous week, keeping your catalogue current.
Create separate processing presets for different product categories like apparel, electronics, and home goods that need different cropping and styling.
Train your photographer to upload directly to the processing folder with standardized naming, removing the manual file organization step.
Run this next.
One workflow is a tip. Chained, they are how a week actually changes shape.
The work this replaces.
These are the O*NET work activities this workflow covers, and the categories of tool that address them.
