ID DOCUMENT LIVENESS DETECTION
By harnessing the power of AI, our solution can detect and analyze most types of forgeries independent of the language or country of issue, thereby providing a robust, globally applicable service.
ID Document Liveness Detection
ID Document Liveness Detection
- Pioneering Technology - 1st and only complete document liveness solution
- Fast and Accurate Responses - 1 second document liveness checks
- Trusted Track Record - Over 200,000,000 documents protected
OCR Extraction Rate
AI Automation Rate
Countries & Territories
Languages Supported
Document Capture
During this phase, the user presents their identification document to the camera of their mobile device, initiating an automated capture session where pertinent data is gathered for subsequent verification.
Document Assessment
The system analyzes the captured document scan to identify its type and extract key attributes.
Data Extraction
Utilizing an extensive repository of document templates, the MiniAiLive Document Reader SDK applies the appropriate schema to precisely extract data from the document. This includes decoding all textual and visual elements for thorough validation in the final step.
Document Verification
This stage encompasses a series of rigorous authenticity checks targeting specific features of the ID, such as barcodes, machine-readable zones (MRZ), and both primary and secondary portraits of the document holder.
MiniAI Document Liveness Detection Mobile SDK
We provides a comprehensive solution for KYC that incorporates Document Liveness Detection SDK.
- MiniAiLive's Document liveness detection SDK is engineered to identify and replay presentation attacks. These attacks include screen replay, printed copies and replicas, and various other forms of spoofing.
Document Attack Protection with MiniAiLive Document Liveness Detection
Elevate your business’ security with MiniAiLive’s AI-powered Document liveness detection technology that provides protection against several spoofing methods.
try for freeHow to Use our ID Document Liveness Detection SDK
ID Document Liveness Detection Server SDK
MiniAi’s Document Liveness Detection Abilities
Classifications
To detect the presentation of printed replicas, video screen replays, digital snapshots, and portrait substitutions
Preventing Fraud
To detect attacks in real-time without adding friction to the user experience or tipping off fraudsters
Better than Human
MiniAiLive stop fraud that humans cannot detect and work across all types of identity documents from worldwide
On-Premises
Works independently of user experience and fully on-premises solution
Easy Integration
Flexible integration into existing Know Your Customer (KYC) processes without modifying core functions
Better than Human
All platforms compatible like Windows, Linux, Android, iOS and your custom device
Questions About ID Document Liveness Detection SDK
Document liveness detection is a technology used to verify that a presented identification document is authentic and currently in use, rather than being a static image or a replica. The primary goal of this technology is to prevent various types of spoofing attacks that involve fake or reproduced documents.
- Screen Replay attacks – Capturing a document image from a digital screen, rather than from the original physical copy
- Printed Copy attacks – Submitting paper reproductions of a document as if they were originals
- Portrait Substitution attacks – Physically replacing a document portrait, often by simple overlay
- Injection attacks – Bypassing a requirement for real-time image capture by “injecting” a previously-recorded image as if it were live
MiniAiLive works with all standard government-issued documents, like IDs, driver’s licenses, and passports from 200+ countries and territories.
The MiniAiLive SDK is designed to run on-premises or in a cloud environment controlled by your business.
Research shows that nearly 90% of frauds seen are from counterfeit physical documents. Document-centric identity verification using mobile devices is pretty much table stakes for today’s online businesses, and savvy fraudsters come prepared to onboard using realistic looking, but fake digital id documents. Enhancing document analysis early in the onboarding cycle by ensuring the document image submitted is of a real, live document can help to significantly mitigate risk.