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Optical Character Recognition
Extract Structured Data From Any ID Document
Multi-language OCR across nearly 100 scripts, handwritten text recognition, name transliteration, and ICAO-compliant validation. Structured JSON or XML output ready for the verification form.
Europe’s First iBeta Level 3 Certified Liveness Provider
Measured Across 3,000+ Document Types
Convert Any ID Document Into Structured, Verified Fields
Multi-Language OCR Engine
Nearly 20 + scripts and 150+ languages including Arabic, Mandarin, and Cyrillic. Right-to-left for Arabic, Hebrew, and Urdu with proper character alignment. Ideogram recognition for Japanese Kanji and Chinese Hanzi. Script detection switches the OCR model automatically per language.
Semantic Validation Built In
Natural Language Processing flags future birthdates, invalid ZIP codes, and mismatched country and phone codes. Passport numbers are validated against ICAO-compliant structures and country-specific formats. Malformed records are rejected before they reach downstream verification.
Structured Output, Ready to Integrate
Field-specific extraction returns JSON or XML with personal details, address components, and identity numbers separated. Native date formats normalise to YYYY-MM-DD ISO. Address strings decompose into street, city, state, postal code, and country.
Beyond the Free-Text Read
Generic OCR returns raw text that requires parsing before it can be used in verification.Shufti OCR outputs structured identity fields—MRZ, personal data, addresses, and ID numbers—with built-in normalization and validation.It is not text extraction—it is verification-ready field structuring.
The Field Surface Behind Every Verification Decision
Personal Details
First, middle, and last name, date of birth, gender, and nationality. Diacritic normalisation standardises accented characters. Common OCR misreads such as O versus 0 and l versus I are detected and corrected.
Identity Numbers and MRZ
Passport, ID card, and SSN-style identifiers. Passport numbers are validated against ICAO-compliant structures. The Machine-Readable Zone at the base of the passport is parsed & cross-checked against the visual zone.
Address Components
Full address strings decompose into street, house number, apartment, city, state, postal code, and country. Cross-validated against geolocation databases for completeness.
Date Fields
Native Japanese, Persian, Arabic, and other regional calendar formats convert to the YYYY-MM-DD ISO standard. Downstream systems do not parse mixed date conventions.
Enhanced Fields
Marital status, height, weight, place of issuance, and other fields beyond the standard set are captured where the document carries them. Useful for high-trust onboarding & EDD workflows.
From Capture to Clean Verification Record
Four stages running inside the on-site Secure Capture surface
01
STEP 01
Capture & Detection
Image is captured via SDK and routed through OCR with automatic script detection (including handwritten text).
02
STEP 02
Field Extraction
Identity fields, MRZ, and signatures are extracted into structured data slots.
03
STEP 03
Validation Layer
Extracted data is checked for inconsistencies like invalid dates, mismatched codes, and document errors.
04
STEP 04
Fraud-Enriched Output
Image, liveness, and device data are submitted together with full traceability.
Trust, built-in. From first verification to every future interaction
One Platform. Full Identity Lifecycle
User Verification
Onboard and authenticate legitimate users in seconds
Business Onboarding
Perform global KYB and due diligence with confidence
Authentication
Detect and block fraud at every touchpoint
monitoring & Compliance
Proactively manage risk and maintain regulatory compliance
User Verification
Onboard and authenticate legitimate users in seconds.
Face Verification
Confirm user identity and prevent spoofing with advanced 3D liveness detection and face verification.
Address Verification
Instantly confirm a user's address from utility bills, bank statements, and other documents against global database.
Document Verification
Instantly verify government-issued identity documents from over 230 countries and territories.
Age Verification
Reliably verify user age to meet regulatory requirements and protect your platform.
VideoIdent
Conduct real-time, agent-led identity verification through live video interviews for high-assurance KYC.
Fast ID
Achieve near-instant identity verification for low-risk users using minimal data points.
eIDV
Confirm user details against trusted government and financial data sources for added confidence.
NFC Verification
Read the secure chip in a passport with a simple phone tap for the highest identity assurance.
Consent Verification
Capture clear proof that your users agree to be verified, building trust and ensuring compliance.
Business Onboarding
Perform global KYB and due diligence with confidence
Business Verification
Automate the verification of business entities by checking data from global corporate registries.
Due Diligence
Streamline your enhanced due diligence process with customizable risk assessment and data collection.
Investor Verification
Securely verify the identity and accreditation status of investors for your platform.
E-Signature
Finalise agreements and sign up new users with secure, legally binding e-signatures.
Authentication
Detect and block fraud at every touchpoint.
Behavioural Biometrics
Silently confirm it’s your user based on their unique interaction patterns.
Device Intelligence
Identify devices in real-time by analysing unique attributes to block fraud.
Multi-Factor Authentication
Add a critical layer of security to user logins and high-risk actions.
monitoring & Compliance
Proactively manage risk and maintain regulatory compliance with continuous user and transaction monitoring.
AML Screening
Screen users and businesses against global sanctions, PEPs, and adverse media watchlists in real-time.
User Risk Assessment
Generate dynamic risk scores for every user based on their profile, behavior, and transaction history.
Transaction Screening
Monitor financial transactions in real-time to detect and block illicit or fraudulent activity.
Industry Playbook
Bonus Abuse hits every sector differently
Trusted Sellers, Repeat Fraud Blocked
Verify the seller is real at onboarding, then prevent re-joins with duplicate detection and optional 1:N matching across the marketplace.
Don't just take our word for it, hear from our customers
The Confidence Our Clients Share
The future of digital identity is defined by trust, interoperability, and regulatory alignment, so our partnership with Shufti reinforces DevCode Identity's commitment to supporting our global customers with the most secure, best-in-class, complaints identity verification solutions available today.
Combining our Conversion Driven Compliance Orchestration Platform with Shufti's global KYC and IDV capabilities allows our customers not only to navigate complex regulatory demands but also to maintain a seamless customer onboarding experience with the highest achievable conversion rates.
Shufti gives us verification journeys we can trust across every market we serve. The ability to route players through passive database checks, eID authentication, and full biometric liveness — all behind one API — has reshaped how we think about onboarding compliance.
Their team acts like an extension of ours. When regulators added new requirements across two European markets, Shufti’s journey builder let us adapt in days, not months.
FXBO customers demand speed without compromising AML rigour. Shufti’s eIDV fits exactly there — high-assurance verification for large deposits, invisible background checks for everything else, and one compliance trail across the board.
Integration took a single sprint. The SDK handled the full journey, so our product team stayed focused on trading features instead of building KYC screens.
As a regulated European payments platform, we need identity verification that meets eIDAS 2.0 and AMLD6 without multi-vendor stitching. Shufti delivers both — native eID authentication for high-assurance markets and docless database checks where eIDs don’t reach.
One contract, one audit log. That changes the compliance conversation entirely.
Industry Recognition & Awards
TOP 10 KYC SOLUTION PROVIDER 2023
GRC Outlook
BEST USE OF TECHNOLOGY IN ID VERIFICATION
Global brands magazine
FASTEST GROWING KYC SOLUTIONS PROVIDER
Global brands magazine
TOP PERFORMER IDENTITY VERIFICATION SOFTWARE SUMMER 2023
Featured Customers
EXCELLENCE IN IDENTITY VERIFICATION SOLUTIONS
Global brands magazine
BEST CLIENT ONBOARDING SOLUTION - MEA
Ultimate Fintech
BEST REGTECH REPORTING SOLUTION - MEA
Ultimate Fintech
BEST CLIENT ONBOARDING SOLUTION UFAWARDS 2022
Frequently Asked Questions
How many languages and document types does Shufti OCR support?
Nearly 20+ scripts and 100supported languages, including right-to-left and ideogram-based scripts. The engine reads any issued document types across passports, ID cards, driving licences, and address documents.
How is name transliteration handled across scripts?
Names in Arabic, Cyrillic, and Chinese Pinyin are converted into Latin-script equivalents while preserving phonetic accuracy. Diacritic normalisation standardises accented characters. First, middle, and last name slots are populated separately for downstream matching.
What semantic validations are built into the output?
Future birthdates, invalid ZIP codes, mismatched country and phone codes, and ICAO-incompatible passport numbers are flagged. Common OCR misreads such as O versus 0, l versus I, and S versus 5 are detected and corrected.
In what format is the extracted data delivered?
JSON or XML, with each field in its own slot. Dates normalise to YYYY-MM-DD ISO. Address strings decompose into street, city, state, postal code, and country.
Does the OCR engine handle handwritten text?
Yes. The Handwritten Text Recognition module extracts handwritten signatures, dates, and numerical values across printed and cursive styles. Stroke-based analysis improves accuracy in handwritten address fields.
How does geospatial anomaly detection work alongside OCR?
The user's IP location, mobile device GPS, and prior verification history are compared against the document address and the issuing country. Proxy and VPN masking, and frequent address changes across regions, are flagged for fraud review.
What happens when a language or document type is not directly supported?
An expert review team handles manual extraction and verification for unsupported languages. The structured output format is preserved so downstream integration is unaffected.
Turn Any ID Document Into Structured Verification Data
Extract multilingual identity fields, MRZ data, handwritten text, and ICAO-validated records into structured JSON or XML ready for onboarding and KYC workflows.