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Ratings and Reviews 0 Ratings
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What is face2social?
Face2social is a cutting-edge tool that leverages facial recognition technology to help users find people on social media by simply uploading a photo. Instead of spending time sifting through different social media sites, users can conveniently upload an image and let Face2social scan public databases for matching profiles.
This innovative solution offers a fast and easy way for anyone looking to identify social media accounts associated with a particular image. Whether one is verifying a dating profile, checking for unauthorized use of their own picture, reconnecting with an old friend, or performing a reverse search on social media, Face2social turns a single image into a powerful search tool.
Additionally, Face2social's sophisticated image search features allow users to access multiple platforms, including Instagram, Facebook, TikTok, and X, without needing to install any extra software or applications, thereby simplifying the experience. With this tool, users can effortlessly tap into facial recognition technology to significantly improve their online search capabilities and discover connections that might otherwise go unnoticed. This advancement in search technology marks a notable step forward in how we interact with social media and the digital world at large.
What is FindFace?
The NtechLab platform specializes in video content analysis, effectively recognizing human faces, bodies, actions, vehicles, and license plates with remarkable accuracy. It employs cutting-edge AI technology to deliver unparalleled speed and precision, establishing a new benchmark in recognition features. The FindFace Multi system further improves these capabilities by providing multi-object recognition and analytical tools that are especially useful for public sector initiatives as well as diverse business requirements. This innovation allows for fast and accurate identification of faces, human figures, cars, and license plates within both live video streams and recorded footage. Users have the ability to sift through databases or archives using not only image samples but also unique attributes like age, clothing color, or type of vehicle. The dedicated NtechLab team is consistently enhancing these recognition algorithms to increase their efficiency and accuracy. With FindFace Multi, the entire procedure of detecting a face in real-time video, recognizing it, and retrieving a matching entry from a large database can be completed in less than one second, which proves to be an essential resource for immediate surveillance and analysis. Additionally, this rapid response feature empowers users to take swift action based on the information obtained, thereby improving both security measures and operational productivity. Overall, the platform stands as a testament to the advancements in AI technology and its applications in modern surveillance systems.
Media
No images available
Integrations Supported
Facebook
TikTok
X (Twitter)
API Availability
Has API
API Availability
Has API
Pricing Information
$19.99/month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
face2social
Date Founded
2026
Company Location
United States
Company Website
face2social.com
Company Facts
Organization Name
NtechLab
Date Founded
2015
Company Location
Russia
Company Website
ntechlab.com/findface-multi/
Categories and Features
Categories and Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions