# FaceSearch

Source: [Canonical page](https://dirs.apphall.org/item/facesearch-e677484a)

FaceSearch is a reverse face search engine. Upload one photo to find matching faces across social, dating and web sources, verify identities and spot catfish.

FaceSearch is an AI-powered reverse face search engine designed to help users discover where a person’s face appears across publicly accessible online sources. Instead of relying on names or keywords, users can upload a photo containing a clear face and let the system search for visually similar matches across the web.

## Key Features

- **AI-Powered Reverse Face Search**  
  Upload a single facial photo and search for matching appearances across public websites, social platforms, dating sites, and other online sources.

- **Simple Photo-Based Workflow**  
  FaceSearch requires only one clear image containing a visible face, making the search process straightforward without requiring names or other personal details.

- **Smart Image Validation**  
  Before performing a search, the system checks the uploaded image to determine whether it is suitable for facial matching, helping reduce ineffective searches.

- **Cross-Platform Discovery**  
  Searches extend across multiple types of public online sources rather than being limited to a single website or social network.

- **Confidence Scores**  
  Potential matches include confidence scores that help users evaluate how closely a discovered face resembles the uploaded photo.

- **Source Links and Previews**  
  Results provide preview images and links to the original sources, allowing users to manually verify matches and investigate where an image appears.

- **Privacy-Focused Image Handling**  
  Uploaded images are automatically deleted within 24 hours, reducing the amount of time submitted facial data remains stored by the service.

- **Catfishing and Impersonation Detection**  
  The tool can help users investigate suspicious dating profiles, fake accounts, identity impersonation, and potentially unauthorized use of personal photos.

- **Personal Photo Monitoring**  
  Users can search their own face to discover websites or profiles where their images may have been reposted or used without permission.

- **Professional Verification Workflows**  
  Potential applications include influencer verification, identity checks, research, journalism, fraud investigation, and background-screening workflows. Users should consider applicable privacy, employment, and data-protection laws when using facial-search results for decisions about other people.

- **Search History for PRO Users**  
  Paid subscribers can retain previous searches, making it easier to revisit investigations and compare results over time.

- **PDF Report Export**  
  Search results can be exported into PDF reports, providing a convenient format for documentation, sharing, or further review.

## Typical Use Cases

FaceSearch can be useful for online dating safety, detecting catfishing, finding unauthorized copies of personal photos, investigating impersonation, verifying online identities, checking influencer profiles, and conducting open-web research.

## Pricing Model

FaceSearch follows a **freemium and credit-based model**. Users can begin with limited free searches, while additional searches are available through credit packages. A PRO subscription adds features such as monthly search credits, search history, and PDF profile exports.

## Limitations

Search quality depends heavily on the uploaded image and the availability of matching photos on publicly accessible sources. Blurry, obscured, or low-quality faces may produce weaker results, and the system cannot discover images that are unavailable to its searchable sources.

Overall, FaceSearch combines facial recognition, reverse image discovery, confidence scoring, source verification, and reporting tools into a streamlined workflow for locating facial matches across the public web.