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Document fraud detection is the practice of identifying forged, tampered, or synthetically generated identity and business documents during KYC and compliance checks — before fraudulent users enter your systems.
With Decentro's Document Fraud Detection API, you can screen document submissions in real time, reduce onboarding fraud, and strengthen compliance by catching alterations across official documents such as Aadhaar, PAN, passports, and driving licenses through advanced ML-powered forensics.
Decentro's Document Fraud Detection API employs advanced deep learning algorithms and AI-powered computer vision to identify forged, tampered, and manipulated documents in real time. Unlike traditional rule-based systems that rely on static templates, our API analyzes pixel-level anomalies, compression artifacts, inconsistent textures, and digital manipulation patterns that bypass conventional checks — detecting everything from subtle text edits to fully synthetic AI-generated documents with over 99% accuracy.
Achieve 99%+ accuracy in detecting document forgeries with AI-powered forensic analysis.
Quick onboarding with Decentro.
Upload scanned or photographed identity documents via REST API.
AI analyzes tampering signatures, inconsistencies, and manipulation artifacts.
Use fraud scores and detailed analysis for instant approvals or manual reviews.
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The original ID photo is replaced with another individual's image. The API detects boundary mismatches, texture inconsistencies, and compression artifacts at the photo region.
Fields such as name, date of birth, or ID number are digitally modified after the document was issued. The API flags font irregularities, pixel-level editing traces, and formatting anomalies.
Entirely fabricated documents created using generative AI tools that mimic real IDs. The API identifies tell-tale patterns in synthetic textures and repeated generation artifacts.
A genuine document is printed and re-photographed to disguise its fraudulent origin. The API uses edge detection and moiré pattern analysis to identify these attempts.
AI-manipulated or synthetically generated face images are embedded into otherwise legitimate documents. The API's deepfake detection layer flags these specifically.
Tampering with watermarks, holograms, or security backgrounds present on official documents. The API cross-checks expected security feature patterns against the submitted image.
Enhanced KYC Security
Prevent fraudulent account openings by detecting forged identity documents.
Reduced Financial Losses
Stop identity theft, payment fraud, and unauthorized access at the verification stage.
Regulatory Compliance
Meet stringent KYC and AML requirements with automated document authenticity checks.
Operational Efficiency
Eliminate manual document reviews with AI-powered automation, reducing verification time by 80%.
Leverages Convolutional Neural Networks and transformers to detect tampering at pixel level.
Identifies compression artifacts, mismatched textures, and repeated patterns indicative of manipulation.
Examines inconsistencies, font irregularities, photo substitutions, and editing traces.
Extracts and validates text data against expected formats to identify anomalies.
Uses edge attention mechanisms to spot boundary-level alterations in documents.
Returns detailed risk scores with component-level breakdowns for confident decisions.
Banking & Lending
Verify borrower identity documents to prevent loan fraud and identity theft.
Fintech Platforms
Secure digital account openings with automated document authenticity checks.
Insurance Companies
Detect forged claims documents and tampered proof of identity.
Digital Onboarding
Strengthen remote verification processes for seamless yet secure journeys.
Why Use Decentro's Document Fraud Detection API?
Advanced AI Models
Multi-Document Support
Deepfake Detection
Real-Time Reliability
Secure & Compliant
Uninterrupted Operations
For Developers
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Simple & Automated APIs To Help You Launch 10X Faster.
Our API detects photo substitutions, text alterations, AI-generated synthetic documents, deepfake portraits, print-and-capture forgeries, missing security features, and sophisticated digital manipulations.
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