What types of images work for measurement extraction?

Flat lay photos, product shots, on-model images, and competitor samples all work. Flat lays on plain backgrounds produce the most accurate results.

How accurate is AI measurement extraction?

With quality images, AI achieves 90-95% accuracy. Results serve as excellent starting points for sampling and can be refined based on physical samples.

Can I extract measurements from competitor samples?

Yes, photographing competitor garments (flat lay style) and uploading the image allows you to reverse-engineer their sizing for reference purposes.

Do I need a reference scale in the image?

A reference scale (ruler, known object) improves accuracy for absolute measurements. Without it, the AI uses proportional relationships between measurements.

What output formats are available?

Extracted measurements export to Excel, PDF, CSV, and PNG formats. Data integrates easily with tech packs, PLM systems, and production documents.

Can I process multiple images at once?

Yes, batch processing allows multiple garment images to be analyzed simultaneously, ideal for creating specs for entire collections.

Extraction AI Analysis

Turn Reference Images into Size Measurements

Transform product photos and reference images into actionable size specifications. AI extracts measurements that would take hours to determine manually.

Updated: January 2026