Document Authentication
Detect tampered photos, mismatched fonts, invalid MRZ checksums, and known fake-ID patterns before signup completes.
Fake ID Database
We have built a proprietary internal database of fake and invalid identification documents from various public and private sources all around the globe, our authentication module check every user against the database.
- 120,000+ database entries
- Blacklist lookup by document number, full name, address and photo
- Updated daily
Military Photo Forensic
Our authentication solutions comes with groundbreaking photo forensics to counter users trying to defraud ID verification systems. Such fraudulent attempts including submitting counterfeit documents, documents recaptured from screen, documents edited in Photoshop and fake IDs, our authentication solutions have proved to stop 90% of such attempts through image forgery forensics combined with deep learning.
Active Security Features
Most government-issued documents comes with active and passive security features such as watermark, ultra-violet inks, fluorescent overlays, holograms, microtext and laser engravings. Our ID authentication solutions examine and compare the security details on user submitted documents with the genuine copy in our database through template matching and A.I. models, you can be assured that no fake documents is going to pass our authentication system.
Advanced Warning System
ID Analyzer document authentication and validation solution performs over 50 different kinds of document validations, whenever a validation fails, you are immediately warned with insights on how the document failed our authentication. Our API also allows you to fine-tune the validation threshold based on the security standards required by your usage scenario.
Spotting Fake Documents
ID Analyzer APIs comes with advanced authentication modules to analyze document image submitted by users and detect whether the document is real and authentic. An authentic score is calculated based a complex algorithm which takes account of multiple factors including:
- Individual security features on each document and how they match up with uploaded document
- Whether the document image was a recapture from screen
- Whether the document image can be found on the internet
- Whether the image has been manually edited or modified with editing software
- Whether the document holder's full name, document number or address is in our fake ID database
- Whether the document image appears to be genuine image taken by a camera or scanner
- Liveliness of the user photo
With flexibility being the core value of our APIs, you can decide your own threshold and classify the documents as valid or invalid based on your own security requirements.
How Fake ID Detection Works
ID Analyzer's document authentication system uses a multi-layered approach to detect forged, tampered, and counterfeit identity documents:
1. Template Matching
Documents are compared against our database of thousands of genuine document templates from over 190 countries, checking layout, fonts, colors, and security feature placement.
2. Photo Forensics
Military-grade image forensic analysis detects photo manipulation, splicing, cloning, and digital alterations at the pixel level.
3. Security Feature Validation
Active detection of holograms, UV patterns, microprinting, and other security features embedded in genuine documents.
4. Cross-Reference Verification
Data consistency checks validate that MRZ data matches visual zone data, expiry dates are valid, and document numbers follow issuing authority patterns.
Frequently Asked Questions
Document authentication works through multi-layered AI analysis that includes template matching against a database of genuine documents, military-grade photo forensics to detect image manipulation, active security feature validation, and cross-reference verification of data fields across the document.
ID Analyzer can detect a wide range of document fraud including counterfeit documents, photo substitution, data tampering, expired documents, digitally altered images, screen-captured or photocopied documents, and documents found in our fake ID database.
ID Analyzer achieves over 95% detection rate across common fraud types. Our AI models are continuously updated with new fraud patterns and fake document samples to maintain and improve detection accuracy over time.
Yes, ID Analyzer supports document authentication for documents from 190+ countries. Our template database is continuously expanding with new document types and updated versions of existing documents from around the world.
Yes, our photo forensics module can identify screen captures, photocopies, and printed reproductions of identity documents. The system analyzes image properties, moire patterns, and other digital artifacts to distinguish genuine camera-captured documents from reproductions.
The authentication score is a composite score calculated based on multiple factors including template match confidence, forensic analysis results, security feature validation, and data consistency checks. You can customize the scoring threshold to match your specific security requirements.
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