Using Face Match in Workflow: Reference Flow

Face Match uses advanced facial recognition technology to automatically match new images to previously photographed subjects—so you can spend less time sorting and more time selling.

Whether you’re shooting a graduation, a dance recital, or multi-year student portraits, Face Match ensures each subject’s images are correctly grouped and ready to go live with minimal effort. Below are step-by-step instructions for setting up and running face match successfully.

1. Enable Face Match
   Available to beta partners now—contact your CSM to get started.

2. Upload Images to Workflow

   • Upload your new images as unsorted to a fresh job (e.g., Spring Graduation).

   • Make sure images are synced in Workflow.

3. Run Face Match

   • Navigate to Tools > Face Match.

     

   • Choose your Reference Job (e.g., Fall Senior Portraits).

   • Add your new job as an “Image Matching” job.

     

   • Click "Run" to sort.

4. Auto-Match in Minutes

   • Images with recognizable faces are matched and sorted.

   • Group photos are automatically tagged with all matching subjects.

   • Any unmatched images remain in the Unsorted section for manual review.

• If a match is found:

  • Subject data from the Reference Job is pulled.

  • A new subject record is created in the destination job with the same data and the images from the destination job (job where you run the tool) that match the subject..

  • Images that do not have a match remain Unsorted.

  • Images with multiple recognizable subjects are grouped accordingly.

  • Images from the Reference Job now also appear in the destination job as a hidden image for the relevant subject.

• Watch Points & Tips

  • Retouched images can reduce match accuracy. We prioritize the oldest version of the subject’s reference image to ensure the best results.

  • Subjects younger than high school age may not sort reliably due to the underdevelopment of distinguishing facial features. Face matching models perform more accurately on older individuals, whose facial characteristics are more defined and consistent, providing stronger reference points for reliable matching.

  • The reference image that was used for the subject is automatically added as a hidden image in the destination job. It won’t be visible to customers in the shop unless unhidden, but it allows users to quickly QA that a match is correct based on looking at the reference image for the subject.

  • Studios have the flexibility to add multiple jobs under the “Image Matching” section to streamline subject identification and photo consolidation across different timeframes. This is particularly useful in scenarios where a studio has photographed the same group of subjects over multiple years and wants to present all their images in a single, unified gallery.

   Ready to Try Face Match?

  Face Match is currently available to beta partners. If you’d like to enable this feature for your studio, reach out to your CSM.