Document Verification
Document verification Solution that holds up across regions and scripts
Verify any government-issued document types with in-house technology that doesn't outsource your data. From recursive OCR for non-Latin scripts to handling cropped or worn IDs, Shufti delivers high-assurance decisions in under 15 seconds, so you can onboard users, not just audit them.
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Document verification at global scale
Key Performance Signals
<15s
Decision Time
150+
Global Languages
99%
OCR accuracy
250+
Regions Covered
Powering Compliance at Scale
Why Regulated Enterprises Trust Shufti
In-House Verification Stack with deployment control
Shufti operates an in-house identity, with no aggregators and no third-party dependencies. Document Verification sits within the wider KYC suite (KYB, KYC, AML Screening, and Face Verification), giving teams consistent performance, clearer accountability, and stronger control over data handling. Deploy in cloud or on-prem to meet stricter security, privacy, and compliance requirements.
Verify documents at enterprise speed
Shufti supports government-issued IDs and supporting documents across global regions and returns outcomes quickly at scale, typically within 10 seconds for enterprise workflows.
ID-optimised OCR
Shufti’s in-house OCR is trained for identity documents, and has been benchmarked against Google OCR across nine languages, matching or exceeding it in six, including Arabic (92.17% vs 90.24%), Japanese/Chinese (86.87% vs 82.89%), and Burmese (94.41% vs 64.36%), so you spend less time on manual correction in multilingual onboarding.
Built for complex scripts and varied ID formats
Shufti standardises verification across complex scripts and mixed national ID ecosystems, so policy and outcomes stay consistent across regions. Proprietary OCR and normalisation handle native character sets (including Devanagari, Ge’ez, Arabic, and Kanji), then transliterate and standardise fields for downstream matching and cross-border checks. This approach stays reliable across older layouts, legacy formats, and mixed-language documents that generic OCR engines often misread or reject.
POWERING ORIGINALITY CHECKS ACROSS REGIONS AND SCRIPTS
End-to-end document verification for regulated onboarding
Originality & Authenticity Engine
Screen recapture and replay defence
Detects screen recapture, scan and print replay, and screenshot-style submissions using file- and capture-level indicators, so onboarding is not fooled by injected or second-hand documents.
GenAI & Synthetic Document Detection
Flags synthetic artefacts and generator-style patterns early, including AI-produced textures and suspicious digital fingerprints
Tamper & Manipulation Detection
Surfaces edits, swaps, copy-move, slicing, and recompression anomalies with reviewable signals, so authenticity is assessed with evidence, not visual guesswork.
Continuous document verification Process
Identifies expired and soon-to-expire documents, verifies MRZ and barcode checksums where available, and applies country-specific date rules to surface invalid submissions before approval.
Doc360 capture resilience
Pre-upload image quality checks
Catches avoidable capture issues such as crop, glare (including laminated glare), blur, obstruction, and damage, then requests a recapture only when needed.
Submission-Type Aware Document Validation
Applies the right checks based on how the document was produced or shared: photo, scan, e-document, colour copy, or black-and-white copy, so the same policy holds across mixed document ecosystems.
Copy, reproduction, and reuse signals
Flags reproduction cues and high-risk submission patterns (scan signatures, screen capture indicators, copy traits) to spot second-hand documents and repeated misuse earlier.
Low-signal extraction resilience
Maintains extraction and integrity checks in low-signal conditions such as low contrast, poor lighting, print wear, and handwritten fields (including non-Latin scripts), so outcomes stay consistent across regions and scripts.
Cross-verification and review outputs
Multi-document cross-verification
Verifies each document independently, then cross-checks key fields across proofs (for example, passport vs proof of address) to confirm identity coherence.
Fraud memory and deduplication
Flags document reuse and repeat-attempt patterns to reduce account cycling and re-registrations.
Review-ready outcomes
Returns coded reasons and supporting signals so compliance and operations teams can resolve cases faster and defend outcomes with evidence.
Supported document types
Supports government-issued IDs including passports, national ID cards, driving licences, residence permits and visas, plus supporting documents such as proof of address (for example, bank statements and utility bills), across 250+ regions.
Document Intelligence
Affordability and vulnerability assessment
Helps compliance teams understand whether players are gambling within their means, and spot vulnerability early before it becomes a compliance issue or regulatory exposure.
AI-powered financial document extraction
Uses proprietary AI and OCR to transform raw financial documents into actionable, explainable risk profiles for affordability checks, behavioural risk, and compliance reporting.
Explainable risk outcomes
Returns an overall player risk level (Low, Medium, High) with a rule-by-rule breakdown to defend decisions with confidence. Generates clear, human-readable reports and routes higher-risk cases to human review, while enabling faster decisions for low-risk players.
Supported financial document types
Bank statements, credit card statements, tax bills, and property/local tax notices.
Integration options for regulated journeys
REST API
Submit document images, choose checks (originality, extraction, multi-document), and receive structured results with reason codes.
Mobile and web SDKs
Embed guided capture with quality prompts (glare, blur, crop) so users fix issues before submission and retries drop.
Back office
Review exceptions with supporting signals and evidence so investigations are faster and decisions stay defensible.
Journey builder
Configure which checks run, set thresholds, and route outcomes by risk tier without rebuilding onboarding flows.
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