The Face Search APIs are image-based APIs that may be used for facial identification throughout a database primarily in attendance tracking, patient identity, large facility monitoring and digital access or verification. The APIs are linked to an online cloud database.
We are dedicated to data security and privacy while you use our free trial or paid APIs. We do not store customer data. The customer data is automatically deleted after processing.
Our Search API is built with cutting-edge technology, including artificial intelligence and machine learning. With high accuracy and trueness, we assist you in locating your face within the database.
Faces can be found by searching the database
Quick and precise
There's no need to save faces
Simple to implement
Mxface Search is a 1:N face search API that searches the database for images with specific faces. Mxface Search does an image search using a face recognition search method. Look for a face and see where it's kept in the database. Our Face Search API can help you find a face while still protecting your privacy because we never keep your face and only utilise vectors in the process.
We do not store customer face data and data is automatically deleted after processing.
Ideal for Person Identification with ID photos
Protection against Fake Face Attacks
Designed for Face-based User Verification application.
Please contact us for a demo
Contact UsRegistered Faces
Name: Leonardo Dicaprio
Id: 34504
Country: United States
Name: Tom Cruise
Id: 34501
Country: United States
Name: Brad Pitt
Id: 34502
Country: United States
Name: Elon Musk
Id: 34503
Country: South Africa
Name: Dwayne Johnson
Id: 34505
Country: United States
Name: Matt Damon
Id: 34506
Country: United States
Choose one of the images for face recognition search among the registered faces.
Click or drag Image to this area to upload
Support for a single Image upload.
Only PNG,JPG, JPEG, BMP file accepted. Image resolutions up to 1920 x 1080.
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First Image
File:
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Second Image
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Registered Faces
Uploaded Image
Face not found in the existing collection.