Face ID Search is a reverse face search engine whose main purpose is to let users upload a photo and find where that face appears across public sources on the internet. Unlike traditional reverse image search, which matches the same or similar images, Face ID Search claims to use facial recognition technology to match the same person's face across different photos, even when angles and lighting conditions differ, or even when the photos are years apart.
In terms of main capabilities, the official description says its index covers more than 200 platforms and more than 50 million faces, including social media, dating platforms, news archives, court records, and other public sources. After users upload a photo in JPG, PNG, or WEBP format, the system converts the face into a mathematical vector and compares it against the index, returning results within about 60 seconds, including source URLs, similarity scores, and platform detection information, with support for exporting reports. The official claim is a 98.7% accuracy rate for frontal-face matches, and it is said to work across races, age groups, and shooting conditions, and to produce results even when the face is only partially visible.
Usage is a three-step process: upload a photo, run a face search, and get instant matching results. The official page shows command-line examples for uploading a photo, running a deep all-platform scan, and outputting results in detailed format. The search process is described as fully anonymous, using a zero-retention policy, with uploaded images deleted immediately after the search is completed, no search history recorded, and no data shared with third parties. Aside from an email address required to create an account, the official description says no other personal information is requested.
Applicable scenarios include: identifying fake identities or stolen photos on dating apps (catfish detection), scanning platforms such as Tinder, Bumble, Hinge, and Instagram to confirm a real identity or find the original source; conducting background checks before hiring, renting, or business cooperation by cross-checking social media profiles, public records, and news archives; open-source intelligence (OSINT) investigations for investigators and journalists tracking targets, discovering aliases, and building identity profiles; identity verification to confirm whether a photo matches a claimed identity; and fraud prevention by detecting when the same face appears under multiple accounts with different names. The official description says users include investigators, journalists, cybersecurity professionals, HR teams, and ordinary individuals.
Limitations and notes: the service is a paid product, starting at $7 for 2 search credits, $11 for 7 searches, and $29 for 20 searches, all one-time purchases with no subscription, and eligible purchases are covered by a 7-day money-back guarantee. The official description states that it searches only publicly available images, does not access private accounts, does not hack systems, and does not scrape restricted content; usingUsers must independently ensure that their use complies with the laws of their jurisdiction, including privacy regulations and data protection laws. The service is prohibited from being used for harassment, stalking, or any illegal activity. The official site also provides comparison pages with PimEyes, FaceCheck.id, and Google reverse image search, claiming advantages in pricing and privacy protection, but the specific comparison details are not yet elaborated in the provided materials.
