Tag That Photo is a Windows program that organizes image collections through automatic face detection and name tagging. It scans local folders, finds people in photos, and builds a searchable library. The software supports JPG, PNG, TIF, HEIC, and Raw files while keeping all data on the user's computer. Existing tags from Picasa and Fotobounce can be imported.
The application uses a patented face recognition engine to group similar faces and reduce manual work. Users assign names, and the paid version writes those tags into image metadata so other programs can read them. Privacy remains central because photos never leave the local drive. Plans range from a free tier with 10 names to a family license for three computers.
Tag That Photo suits family archivists, photographers, and anyone with thousands of images containing people. It replaces cloud-dependent services with a desktop tool that respects ownership of personal photos. The first 30 days are free, with metadata writing reserved for paid plans. Support responds quickly, according to user reviews, and the software continues to add new import and format options.
| Directory traversal indexing photographs containing human subjects | Scans local storage without altering original file locations |
| Patented biometric engine grouping similar facial features | Adjustable detection accuracy with configurable resource allocation |
| Identity annotation converting detections into searchable records | Associates names with faces stored in internal database |
| Persistent tagging embedded within image file metadata | Ensures annotations travel alongside transferred files |
| Legacy tag structure ingestion from prior applications | Merges existing annotations into new library organization |
| On-device processing avoiding external cloud dependencies | Maintains user control over collection storage location |
| Scalable architecture accommodating growing image repositories | Handles thousands of photographs without performance degradation |
| Person-based filtering enabling rapid photograph retrieval | Locates specific individuals across indexed collections |
| Modern camera format handling beyond common image types | Extends support to Raw and HEIC files |
| Tiered identity limits aligned with licensing levels | Restricts name count according to subscription plan |
| Multi-seat licensing supporting household digitization projects | Provides three activations for distributed tagging efforts |
| Metadata integration surfacing names in system file browser | Exposes tagged persons through operating system properties |
| Non-destructive scanning preserving original folder hierarchy | Indexes files while leaving directory structure unchanged |
| Facial highlight visualization during detection review stages | Presents detected faces for operator verification |
| CPU load tuning matching hardware capabilities to workload | Balances processing intensity against available resources |
| Batch annotation workflows processing large image volumes | Applies names across hundreds of photographs simultaneously |
| Database-resident tagging during evaluation period | Stores annotations internally before paid metadata writing |
| Professional collection management for archival projects | Accommodates family archives and commercial image libraries |
| Cross-editor readability through standardized metadata encoding | Maintains annotation accessibility across different applications |
| Incremental import capability protecting prior tagging investment | Avoids redundant retagging of previously organized collections |