PimEyes is an advanced online face recognition search engine and reverse image search tool that allows users to locate their photos across the public internet. By leveraging artificial intelligence and machine learning technologies, the platform provides a mechanism for individuals to monitor their online presence and track where their images are published. The search engine specifically indexes the open web, excluding social media and video platforms, to focus on identifying where specific faces appear in publicly available content. Designed as a multi-purpose utility, it enables users to reclaim image rights, protect their privacy from identity thieves, and monitor their digital footprint.

Functionality centers on performing queries using a photograph, which the system analyzes to find matches based on facial features rather than whole-image similarity. This allows the software to identify the user's face even when it appears on different backgrounds, alongside other individuals, or with changes in appearance, such as different hairstyles. Beyond individual search capabilities, the platform also offers specialized investigative infrastructure for legal and security institutions to help verify visual evidence and identify subjects.

Some of the key features are:

• Face Recognition Search: Uses advanced AI and machine learning to find indexed images containing a specific face.
• Reverse Image Search: Performs queries using a photo to identify similar images, smaller or larger versions, or content where a subject appears.
• Image Alert System: Monitors the web and sends email notifications when new results matching the user's face are found.
• Privacy Protection Tools: Enables users to monitor their digital footprint and take action against illegal or unwanted image usage.
• Takedown Requests: Allows users to send DMCA, GDPR, or other takedown requests to assist in removing images from external websites.
• Advanced Image Editor: Features tools like cropping, rotation, mirroring, and color adjustment to refine images for more accurate search results.
• Grouped Result Management: Allows users to group results by domain or host to make the management of takedown requests more efficient.

Operation is straightforward: users upload an image from their device or camera into the search bar. The system processes the image to identify facial landmarks, then scans the public internet to return a list of locations where that face appears. Users can then subscribe to various plans to access the direct sources of these findings, manage alerts, and use advanced tools to request the removal of unauthorized or unwanted images from external host servers.

Some common use cases include:

• Personal Privacy Protection: Helping individuals track down their images online to defend against identity theft or misuse.
• Copyright Auditing: Enabling creators and photographers to monitor where their visual content is being used across the web.
• Reputation Management: Assisting public figures and professionals in monitoring and controlling their digital identity and appearance in media.
• Legal Investigations: Providing law enforcement and legal professionals with investigative infrastructure to verify visual evidence or identify subjects.
• Criminal Identification: Supporting institutions in identifying offenders or persons of interest through open-source intelligence and facial analysis.