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The People feature uses face detection and machine learning to find faces across your photo and video library, group similar faces into clusters, and let you assign names to those clusters. Once a person is named, you can browse every file in your catalog where they appear. People is currently in beta.
People is a beta feature. Results may be incomplete or imprecise, particularly for low-resolution images, partially obscured faces, or large libraries with significant variety in lighting conditions.

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Step 1: Detect people on a source

Face detection must be run on each source before faces from that source appear in the People page. You run detection from the source in the file browser, not from the People page itself.
1

Open a source

Click a source in the Sources tab to open it in the file browser.
2

Run face detection

Right-click the source name in the sidebar, or click the options menu on the source, and choose Detect People. You can also select individual files in the browser, right-click, and choose Detect People to run detection only on those files.
3

Wait for detection to complete

Detection runs in the background. For large sources with many images and videos, this may take several minutes. You can continue using 1Archive while detection runs.
Face detection works on both photos and video files. For videos, 1Archive samples frames throughout the clip and detects faces in each sampled frame.

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Step 2: Cluster detected faces

After detection, the raw face data exists but has not yet been grouped into clusters. Clustering is the process that groups similar-looking faces together so that all appearances of the same person end up in one cluster.
1

Open the People page

Click People in the sidebar (labeled with a BETA badge).
2

Click Cluster Faces

Click the Cluster Faces button at the top of the page. A status message appears while clustering runs.
3

Wait for clustering to complete

Clustering analyzes all detected faces across your library and groups them by visual similarity. When complete, a success message appears and face clusters populate the page.
Run Cluster Faces again after detecting people on additional sources to incorporate new faces into the existing clusters. Previously named persons are preserved, new faces are merged into existing clusters or grouped into new ones as appropriate.

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View face clusters

After clustering, the People page displays a grid of face thumbnails. Each card represents one cluster, a group of faces that 1Archive determined likely belong to the same person. Each card shows:
  • The cover photo for the cluster, the highest-quality face detection in the group.
  • The person name, if the cluster has been assigned to a named person, or “Unknown” if not.
  • The face count: how many individual face detections are in the cluster.
Click a cluster card to open all the files in your library where that cluster’s faces appear.

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Create a named person from a cluster

1

Select an unassigned cluster

On the People page, click a cluster card that shows “Unknown”. The card highlights to indicate it’s selected.
2

Click Create Person

Click the Create Person button in the action bar at the top of the page.
3

Enter a name

Type the person’s name in the dialog that appears and click Create.
The cluster is now associated with that person’s name and appears with their name in the grid. All future clustering runs will assign new matching faces to this person automatically.

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Add a cluster to an existing person

If you have two or more clusters that represent the same person, you can merge them by adding one cluster to an existing person.
1

Select the cluster to merge

Click the cluster card you want to assign. It must not already be assigned to a person (the name shows “Unknown”).
2

Click Add to Person

Click the Add to Person button in the action bar.
3

Choose the person

Select the target person from the list in the dialog and click Add.

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Change a person’s cover photo

The cover photo is the face thumbnail that represents a person on the People page. 1Archive selects the highest-quality detection automatically, but you can change it.
1

Select a named person

Click the cluster card for the person whose cover you want to change.
2

Click Change Cover

Click the Change Cover button in the action bar. A dialog shows the top face detections for that person.
3

Choose a new cover

Click the face image you want to use as the cover and click Set as Cover.

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Delete a person

Deleting a person removes the name assignment from the cluster but does not delete the underlying face detections or the files themselves. The cluster returns to “Unknown” status. Select a named person’s cluster card, then click Delete Person in the action bar and confirm the deletion.