Face Search API

Published 1 September 2026

Technology

How to Add AI Face Search to Your App or Website

AI face search can be added to websites, apps, and research tools without building a facial search engine from scratch. With a Face Search API, developers can send a photo to an external service and receive matching face results directly inside their own product.

Table of Contents

Share Article

  • Face search uses facial recognition to find the same or visually similar faces across indexed images.
  • A Face Search API allows developers to add face-search functionality to their own websites and applications.
  • Lenso.ai Face Search API provides access to face search results, including matching images, source pages, and confidence information.
  • Developers can integrate the API by uploading an image, sending it to the API, and displaying the returned results within their own application.
  • The API supports filtering and sorting options, including domains, dates, pages, and result types.
  • Face search APIs can support applications such as OSINT, image monitoring, fraud research, cybersecurity, and identity research.
  • Using an existing API can be faster and simpler than building a complete face-search system from scratch.

What is Face Search?

Face search is a type of image search that uses facial recognition to find images of the same or visually similar person. Instead of searching with a name or keyword, the user uploads a photo containing a face.

The system analyzes facial features and compares them with faces found in other indexed images. This can be useful for online research, finding your own photos, checking fake profiles, OSINT, and other investigation-related tasks.

What is a Face Search API?

Face Search API allows developers to add facial search to their own app or website.

Instead of building the search technology, image index, and matching system internally, the application sends a photo to an external service. The service performs the search and returns the results in a structured format.

This makes it easier to add face search to an existing project while keeping the interface and user experience under your control.

Lenso.ai Face Search API

Lenso.ai offers a Face Search API that gives developers access to face search results from its People category.

A photo is sent to lenso.ai, the system searches for visually matching faces, and the results are returned to the application. These results can include matching images, source pages, and confidence information.

Lenso.ai also offers a Reverse Image Search API for other types of searches, such as duplicates, similar images, places, and related images.

How to add lenso.ai API to your own project

The basic integration is simple.

  1. The user uploads a photo.
  2. Your application sends the image to the lenso.ai API.
  3. Lenso.ai performs the face search.
  4. The API returns matching results.
  5. Your application displays or processes the results.

This means the user can stay inside your own website or app instead of visiting lenso.ai separately.

How to start using the lenso.ai API

To use the API, you need a lenso.ai account with API access. Your account provides an authorization token that is used to authenticate API requests.

The image is sent to the API together with the token and selected search options. Lenso.ai processes the image and returns the results in JSON format.

Developers can then decide how to present the results. For example, a simple application could show the matching image, source website, and confidence score.

Filtering and sorting results

The lenso.ai API also allows developers to control the results.

Developers can provide parameters such as:

  • image – Base64 version of the photo
  • sortType – controls result sorting
  • page – chooses a result page
  • multiPage – requests several pages
  • domain – searches within a particular domain
  • domainsToInclude – includes selected domains or URLs
  • domainsToExclude – excludes selected domains or URLs
  • fromDate – returns results indexed after a selected date
  • toDate – returns results indexed before a selected date

These options can be useful in research tools where users want to focus on specific websites or newer results.

Where can the lenso.ai Face Search API be used?

The API can be useful in many types of products, including:

  • OSINT platforms
  • investigation tools
  • personal image monitoring services
  • fraud research systems
  • cybersecurity products
  • identity research tools

The main advantage is that developers do not need to build and maintain the complete face-search infrastructure themselves.

Frequently Asked Questions

Quick answers related to this article from PerfectionGeeks.

1. What is face search?

Face search is a type of image search that uses facial recognition to find images of the same or visually similar person. Users upload a photo, and the system analyzes facial features to identify matching faces across indexed images.

2. What is a Face Search API?

A Face Search API allows developers to integrate facial search into their own websites or applications. Instead of building the search and matching infrastructure themselves, developers send an image to an API and receive matching results in a structured format.

3. What can the Lenso.ai Face Search API be used for?

The Lenso.ai Face Search API can be integrated into products such as OSINT platforms, investigation tools, image monitoring services, fraud research systems, and identity research applications. Developers can also filter and sort results based on parameters such as domains, dates, and result pages.

Conclusion

Adding AI face search to an app or website can be much easier with an existing API.

The lenso.ai Face Search API allows developers to send a photo, receive matching face results, and use those results directly inside their own product. It also gives developers control over how the search results are filtered, sorted, and displayed.

For projects that need web-based facial search, using an API can be a faster and simpler option than creating the full technology from the beginning.

Interested? Visit Lenso.ai to find out more!

blog-author

Written By Devanshi

SEO Content Specialist at PerfectionGeeks Technologies

Devanshi specializes in SEO-focused content for AI, web, and mobile app development. She crafts user-centric, search-optimized content that enhances online visibility, strengthens brand authority, and supports sustainable organic growth through strategic content marketing and audience-focused communication.

Related Blogs