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Blind Spot Audit

Secure fraud your IDV already approved.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

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Deepfake Detection

Check where deepfake IDs slipped
through your stack.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

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Liveness Detection

Find the replay gaps in your passed
liveness checks.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

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Document Deepfake Detection

Spot synthetic documents hiding in
verified users.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

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Document Originality Detection

Stop fake documents before they pass.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

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Introducing Blind Spot Audit. Spot AI-generated forgeries with advanced document analysis. Teg-1 Run Now on AWS right-arrow-2

Introducing Blind Spot Audit Teg-1

Spot AI-generated forgeries with advanced document analysis.

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    Introducing Deepfake Detetction. Detect deepfakes with precision your stack has missed. Teg-1 Run Now on AWS right-arrow-2

    Introducing Deepfake DetetctionTeg-1

    Detect deepfakes with precision your stack has missed.

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    Introducing Liveness Detection. Detect spoofs with technology built for sophisticated fraud. Teg-1 Run Now on AWS right-arrow-2

    Introducing Liveness DetectionTeg-1

    Detect spoofs with technology built for sophisticated fraud.

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  • .

    Introducing Document Deepfake Detection. Spot AI-generated forgeries with advanced document analysis. Teg-1 Run Now on AWS right-arrow-2

    Introducing Document Deepfake DetectionTeg-1

    Spot AI-generated forgeries with advanced document analysis.

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  • .

    Introducing Document Originality Detection. Verify document authenticity before your next audit. Teg-1 Run Now on AWS right-arrow-2

    Introducing Document Originality DetectionTeg-1

    Verify document authenticity before your next audit.

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    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.

    Request Demo

    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.

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    GenAI & Synthetic Document Detection

    Flags synthetic artefacts and generator-style patterns early, including AI-produced textures and suspicious digital fingerprints

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    Tamper & Manipulation Detection

    Surfaces edits, swaps, copy-move, slicing, and recompression anomalies with reviewable signals, so authenticity is assessed with evidence, not visual guesswork.

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    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.

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    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.

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    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.

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    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.

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    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.

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    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.

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    Fraud memory and deduplication

    Flags document reuse and repeat-attempt patterns to reduce account cycling and re-registrations.

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    Review-ready outcomes

    Returns coded reasons and supporting signals so compliance and operations teams can resolve cases faster and defend outcomes with evidence.

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    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.

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    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.

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    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.

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    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.

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    Supported financial document types

    Bank statements, credit card statements, tax bills, and property/local tax notices.

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    Integration options for regulated journeys

    REST API

    Submit document images, choose checks (originality, extraction, multi-document), and receive structured results with reason codes.

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    Mobile and web SDKs

    Embed guided capture with quality prompts (glare, blur, crop) so users fix issues before submission and retries drop.

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    Back office

    Review exceptions with supporting signals and evidence so investigations are faster and decisions stay defensible.

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    Journey builder

    Configure which checks run, set thresholds, and route outcomes by risk tier without rebuilding onboarding flows.

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    End To End: Quality, Integrity, And Validity Checks

    Four Steps of Document Verification Process

    01

    STEP 01

    Capture

    The user captures or uploads an image of their ID document.

    02

    STEP 02

    Assess Quality

    Shufti checks visibility and clarity (edges, glare/blur, obstruction) and requests recapture only if needed.

    03

    STEP 03

    Authenticate & Extract

    Shufti checks authenticity and integrity (tamper, replay/re-capture signals, synthetic patterns) and extracts key fields.

    04

    STEP 04

    Decision

    Results are returned with reasons; outcomes are recorded securely in Shufti’s back office.

    Book Personalised Demo

    Evidence-led document checks

    Built for regulated and high-risk onboarding

    Fintech
    Forex
    Banking
    Gaming
    Gig Economy
    Crypto
    Marketplace
    Fintech
    Forex
    Banking
    Gaming
    Gig Economy
    Crypto
    Marketplace
    Fintech
    Forex
    Banking
    Gaming
    Gig Economy
    Crypto
    Marketplace

    Scale sign-ups with fewer exceptions

    Multi-script extraction and capture-quality gating reduce avoidable re-uploads and manual queues, while originality checks keep synthetic/edited documents out without adding friction for genuine users.

    BFC cashew gemone
    fintech-img

    Consistent verification across regions

    Standardised checks across mixed document ecosystems keep outcomes stable market-to-market, with clear reasons for manual review when edge cases appear.

    BFC cashew gemone
    forex-image

    Audit-ready document authenticity

    Evidence-led checks (integrity scoring, tamper detection, replay defence) help reduce false positives/negatives, keep policy consistent across markets, and make exceptions easier to justify in audits and partner reviews.

    BFC cashew gemone
    fintech-img

    Keep onboarding smooth, block repeat abuse

    Originality checks and fraud memory help flag reused documents and suspicious re-attempt patterns, reducing account cycling while keeping genuine players moving.

    BFC cashew gemone
    igaming-img

    Faster worker verification, fewer re-checks

    Capture-quality checks plus robust extraction across scripts and document conditions reduces drop-off and rework, while integrity signals keep risky submissions reviewable and defensible.

    BFC cashew gemone
    igaming-img

    Stop mule onboarding and account farming

    Replay and synthetic detection (screen/scan/print/screenshot signals + GenAI patterns) helps block high-risk submissions early, while repeat-attempt signals surface re-registrations and cycling behaviour.

    BFC cashew gemone
    crypto-img

    Trustworthy sellers, less cycling

    Document integrity scoring, tamper detection, and repeat-attempt signals help reduce seller fraud and re-registration loops, with exception handling that stays evidence-backed.

    BFC cashew gemone
    e-commerce-img

    Scale sign-ups with fewer exceptions

    Multi-script extraction and capture-quality gating reduce avoidable re-uploads and manual queues, while originality checks keep synthetic/edited documents out without adding friction for genuine users.

    BFC cashew gemone
    fintech-img

    Consistent verification across regions

    Standardised checks across mixed document ecosystems keep outcomes stable market-to-market, with clear reasons for manual review when edge cases appear.

    BFC cashew gemone
    forex-image

    Audit-ready document authenticity

    Evidence-led checks (integrity scoring, tamper detection, replay defence) help reduce false positives/negatives, keep policy consistent across markets, and make exceptions easier to justify in audits and partner reviews.

    BFC cashew gemone
    fintech-img

    Keep onboarding smooth, block repeat abuse

    Originality checks and fraud memory help flag reused documents and suspicious re-attempt patterns, reducing account cycling while keeping genuine players moving.

    BFC cashew gemone
    igaming-img

    Faster worker verification, fewer re-checks

    Capture-quality checks plus robust extraction across scripts and document conditions reduces drop-off and rework, while integrity signals keep risky submissions reviewable and defensible.

    BFC cashew gemone
    igaming-img

    Stop mule onboarding and account farming

    Replay and synthetic detection (screen/scan/print/screenshot signals + GenAI patterns) helps block high-risk submissions early, while repeat-attempt signals surface re-registrations and cycling behaviour.

    BFC cashew gemone
    crypto-img

    Trustworthy sellers, less cycling

    Document integrity scoring, tamper detection, and repeat-attempt signals help reduce seller fraud and re-registration loops, with exception handling that stays evidence-backed.

    BFC cashew gemone
    e-commerce-img

    Scale sign-ups with fewer exceptions

    Multi-script extraction and capture-quality gating reduce avoidable re-uploads and manual queues, while originality checks keep synthetic/edited documents out without adding friction for genuine users.

    BFC cashew gemone
    fintech-img

    Consistent verification across regions

    Standardised checks across mixed document ecosystems keep outcomes stable market-to-market, with clear reasons for manual review when edge cases appear.

    BFC cashew gemone
    forex-image

    Audit-ready document authenticity

    Evidence-led checks (integrity scoring, tamper detection, replay defence) help reduce false positives/negatives, keep policy consistent across markets, and make exceptions easier to justify in audits and partner reviews.

    BFC cashew gemone
    fintech-img

    Keep onboarding smooth, block repeat abuse

    Originality checks and fraud memory help flag reused documents and suspicious re-attempt patterns, reducing account cycling while keeping genuine players moving.

    BFC cashew gemone
    igaming-img

    Faster worker verification, fewer re-checks

    Capture-quality checks plus robust extraction across scripts and document conditions reduces drop-off and rework, while integrity signals keep risky submissions reviewable and defensible.

    BFC cashew gemone
    igaming-img

    Stop mule onboarding and account farming

    Replay and synthetic detection (screen/scan/print/screenshot signals + GenAI patterns) helps block high-risk submissions early, while repeat-attempt signals surface re-registrations and cycling behaviour.

    BFC cashew gemone
    crypto-img

    Trustworthy sellers, less cycling

    Document integrity scoring, tamper detection, and repeat-attempt signals help reduce seller fraud and re-registration loops, with exception handling that stays evidence-backed.

    BFC cashew gemone
    e-commerce-img

    Everything you need to know in one place

    Frequently Asked Questions

    What documents does Shufti support?

    Government issued IDs and supporting documents across global regions and formats, including varied capture quality and complex scripts.

    How does Shufti reduce manual review without increasing fraud?

    Quality gating and integrity scoring keep genuine users moving, while exceptions surface with forensic signals and supporting evidence.

    Can more than one document be verified in a single flow?

    Yes. Multi document verification checks both documents and confirms they belong to the same person.

    How are non-Latin scripts and handwritten fields handled?

    Multi script OCR, handwritten recognition, and transliteration help keep extraction consistent across markets.

    Does Shufti detect repeat attempts and re-registrations?

    Yes. Reused documents and suspicious re-attempt patterns are flagged to help prevent account cycling.

    How does Document Verification Solution integration work?

    API and SDK based deployments with webhook delivery to embed verification into onboarding.

    What are Shufti’s Deployment Options?

    Deploy in the cloud or on-prem based on your data and compliance needs, and combine document verification with other KYC services in the Shufti suite powered by proprietary technology.

    Check documents originality checks live

    Shufti verifies documents using integrity scoring, replay defence, and forensic checks, keeping genuine users moving and exceptions reviewable.

    Designed for Identity, Fraud & Compliance at Scale

    Resources

    Read More

    January 5, 2026

    4 minutes read

    Shufti Expert Agent Review Modes

    Controlled human-in-the-loop review modes to match verification intensity to your risk appetite.

    Solution Sheet

    Read More
    Read More

    December 8, 2025

    3 minutes read

    Shufti Automated PII Masking

    Protect high-risk IDs and align with global privacy regulations like GDPR, PIPA, and My Number Act.

    Solution Brief

    Read More
    Read More

    18 September, 2025

    47 minutes read

    Navigating Global Identity Verification Challenges

    A report on the 10 most challenging countries for IDV, covering linguistic, regulatory, and document complexities.

    Report

    Read More
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