When teams pull images from multiple sources, inconsistency is inevitable. Background colors vary, products sit too close to the edge or float unevenly, and empty space appears where it shouldn’t.
To fix it, teams reframe images manually. For catalogs with ten or more images per SKU, this quickly becomes a major drain on time.
Auto Frame removes this step entirely, giving teams back precious hours better spent elsewhere.
What Is Auto Frame?
Auto Frame is an automated image editing tool built into Trustana’s Image Enrichment workflow. Its purpose is simple: standardize product images reliably, at scale, without manual intervention.
Instead of resizing images individually, Auto Frame identifies the object, calculates how it fits within a standardized canvas, and places it consistently every time. The result is a clean, professional frame that looks intentional across PDPs, categories, and channels.
It works across hundreds of images in a single task.
How it works
Most AI image editing tools focus on the canvas. They resize the outer dimensions under the assumption that the product inside looks acceptable. In practice, this leads to stretched images, distorted proportions, or objects that appear misaligned relative to each other.
Trustana’s Auto Frame feature takes a different approach:
- First, Auto Frame identifies the product itself.
It uses AI to detect the product inside the image and draws a tight boundary around it, called the Object Frame. If there are multiple parts or attached text, they are treated as one object, so nothing is cut off or altered.
- Next, Auto Frame fits that product into a standardized layout.
It calculates an inner frame based on the target canvas size, plus any margins or padding you set in the provided fields. The product is then automatically resized, if needed, to fit safely within this space without stretching or distortion.
The result is a reliable process that delivers a framed image, in dimensions consistent with your specifications.
Consistent Quality, Built for Scale
A big concern with batch image processing is quality loss when images are stretched to fit a larger canvas. Auto Frame avoids this by only resizing images down, never up, ensuring consistent quality at scale.
If a product cannot fit inside the frame without being enlarged, the image is skipped automatically. This eligibility check happens before processing, removing the need for manual QA.
Teams get full control. Backgrounds can be matched to the original image or set to a fixed hex color, without altering the product itself. Images can be centered or bottom-aligned to support both vertical and horizontal formats, and files can remain in their original format or be converted to JPEG or PNG, all without compression.
Seeing is Believing, Try Auto Frame Today
Auto Frame is available now inside Trustana’s Image Enrichment workflow.
If your team is manually framing product images today, whether in PowerPoint, Photoshop, or through outsourced services, Auto Frame replaces that process with a consistent, automated, and quality-safe alternative.
Talk to an expert and see it in action to explore how Auto Frame fits into your existing workflows for digital assets and product images.
