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What is ScanDoc? ScanDoc is an AI-powered identity verification platform that streamlines KYC and AML processes with advanced OCR, facial recognition, and passive liveness detection.   What is OCR in identity verification? OCR (Optical Character Recognition) is the technology that automatically reads and extracts text from documents like IDs and passports. ScanDoc uses AI-enhanced OCR to capture names, birthdates, ID numbers, and more with high accuracy.   What is the MRZ on an ID or passport? The MRZ (Machine Readable Zone) is the set of lines typically found at the bottom of a passport or ID card. It contains encoded data like document number, nationality, and date of birth for fast, machine-based verification.   How accurate is ScanDoc’s OCR technology? ScanDoc’s OCR engine delivers over 99% accuracy, even on worn or low-quality documents. It’s designed for speed and precision, reducing the need for manual corrections during onboarding.   How does ScanDoc verify identity? It extracts data from ID documents, matches facial features biometrically, and confirms user presence using liveness detection—all in real time.   What documents does ScanDoc support? ScanDoc recognizes over 10,000+ identity documents from more than 200 countries, including passports, national IDs, driver's licenses, and residence permits.   How does ScanDoc prevent identity fraud? ScanDoc layers biometric verification with document analysis and liveness detection to stop identity fraud before it reaches your system.   Can ScanDoc integrate into my existing app or system? Yes. ScanDoc offers flexible integration through REST APIs, mobile SDKs for iOS/Android, and Docker containers to embed into your onboarding workflow.   What is eKYC and how does ScanDoc support it? eKYC is digital identity verification. ScanDoc automates it with online document capture, facial recognition, and fraud detection—no in-person steps required.   Which industries benefit from ScanDoc? Fintech, crypto, telecom, banking, insurance, healthcare, travel, and government use ScanDoc for fast, secure digital onboarding.   How fast is the verification process? Users can complete verification in under 30 seconds, reducing friction and increasing sign-up conversion rates.   Is ScanDoc secure for handling sensitive data? Yes. Data is encrypted at rest and in transit, handled in compliance with privacy regulations, and protected by security-first infrastructure.

Identity fraud costs businesses worldwide over $56 billion annually, making liveness detection critical for organizations seeking robust security solutions. Fraudsters constantly develop sophisticated methods to bypass traditional verification systems, using everything from printed photos to deepfake videos. ScanDoc’s advanced liveness detection technology combines document scanning with precise face recognition algorithms to create a multilayered defense against identity theft. Face matching capabilities verify that the person completing digital customer onboarding is genuinely present during the process. Additionally, this comprehensive identity verification system detects subtle signs of manipulation that automated fraud attempts typically miss. This article examines how ScanDoc’s liveness detection technology works, the impressive real-world results it delivers, and why it has become essential for businesses facing increasingly complex fraud threats. You’ll discover the specific technologies behind the system, see quantifiable results from actual deployments, and learn how seamlessly it integrates into existing verification workflows. [caption id="attachment_2533" align="alignnone" width="230"] Liveness Detection[/caption] Types of Liveness Detection Used by ScanDoc Liveness detection serves as a crucial security mechanism within biometric verification systems, confirming that an actual person is physically present rather than a sophisticated fraud attempt. ScanDoc implements multiple approaches to this technology, with particular emphasis on challenge-response methodologies. Active Liveness Detection: Prompt-Based Interaction Active liveness detection represents the cornerstone of ScanDoc’s anti-fraud strategy. This approach requires direct user participation through specific prompted actions during the verification process. Unlike passive methods that work silently in the background, active techniques create deliberate interaction points that fraudulent attempts typically cannot overcome. When users engage with ScanDoc’s verification system, they receive instructions to perform certain actions, such as: Turn Head Left Action Turn Head Up Action  Turn Head Right Action  Turn Head Down Action Tilt Head Left Action Tilt Head Right Action Smile Action Close Left Eye Action Close Right Eye Action Open Mouth Action The power of this approach lies in its unpredictability and real-time requirements. Even as deepfake technology advances, these prompt-based challenges remain effective because they generate subtle facial movements and behavioral cues extraordinarily difficult to replicate using static images or pre-recorded content. Behind the scenes, sophisticated AI-based algorithms track pupil movement and monitor the natural flow of motion as users interact with their identity documents. This tracking happens within seconds, eliminating the need for lengthy video recording processes. The system examines key facial reference points to determine whether the person is genuinely present or if someone is attempting to use a silicon mask, photograph, or video recording to fraudulently access the system. For instances involving voice biometrics, ScanDoc’s active liveness detection might prompt users to repeat specific phrases multiple times. These voice samples establish unique voice prints while simultaneously confirming authenticity through speech pattern analysis. Though highly effective against presentation attacks (spoofing attempts), active liveness detection presents certain usability considerations. The requirement for explicit user participation introduces some friction into the verification flow. Nevertheless, ScanDoc has optimized these interactions to minimize user frustration while maintaining security integrity. The challenge-response nature of active liveness detection makes it particularly valuable in high-security environments where certainty about user identity outweighs minor convenience compromises. Consequently, this approach forms an essential component of ScanDoc’s multi-layered defense against increasingly sophisticated identity fraud attempts. Core Technologies Behind ScanDoc’s Detection System ScanDoc’s liveness detection framework rests upon a foundation of specialized technologies working in concert to distinguish genuine users from fraudulent attempts. Behind the simple user interface lies a sophisticated technical architecture designed to detect even the most advanced presentation attacks. 3D Depth Sensing with Infrared Mapping At the core of ScanDoc’s system is advanced 3D depth sensing technology that creates detailed topographical maps of facial features. This technology projects invisible infrared light patterns onto the user’s face, measuring how these patterns deform across facial contours. The resulting data creates a three-dimensional model that distinguishes between flat surfaces (photos) and genuine facial topography. This infrared mapping technology captures subtle depth variations impossible to replicate with printed images or screen displays. Furthermore, the system analyzes how infrared light reflects differently from human skin versus synthetic materials, enabling the detection of masks and other physical spoofing attempts. Motion Analysis for Micro-Expressions The human face naturally produces thousands of micro-movements even when attempting to remain still. ScanDoc’s motion analysis algorithms track these involuntary micro-expressions and subtle movements that occur at submillimeter levels. These imperceptible movements create unique biometric patterns that current deepfakes and presentation attacks cannot accurately simulate. The analysis happens in milliseconds, providing real-time authentication without disrupting the user experience. AI-Based Challenge-Response Mechanisms ScanDoc employs artificial intelligence to create dynamic verification challenges that adapt based on risk assessment. Instead of using predictable patterns, the system generates randomized challenges requiring specific responses that must align with natural human behavior patterns. The AI engine analyzes response timing, motion fluidity, and physiological consistency. For instance, the system might request a specific head movement while simultaneously analyzing dozens of variables, including motion acceleration, deceleration, and natural movement arcs. Essentially, the technology creates an invisible conversation between system and user that fraudulent attempts cannot anticipate or replicate. This multi-layered approach enables ScanDoc to maintain high security standards without compromising the streamlined verification experience that users expect from modern digital identity systems. Real-World Results from ScanDoc Deployments ScanDoc’s implementation of liveness detection has delivered impressive results across various sectors, as evidenced by real-world deployment metrics that showcase its effectiveness against increasingly sophisticated fraud attempts. Fraud Reduction in Fintech Onboarding Financial institutions face staggering challenges with identity fraud, which costs over £2.3 billion annually in the UK alone. In the fintech sector, synthetic identity fraud specifically costs online lenders $6 billion yearly. ScanDoc’s biometric verification system has proven particularly valuable in this environment, as it automatically compares selfies with document images to verify identity authenticity. Moreover, the system’s ability to detect potentially forged documents by identifying inconsistencies and tampering indicators has significantly reduced fraudulent account creation attempts. Drop in Manual Review Rates by 60% Organizations implementing ScanDoc have reported substantial operational improvements. Document scanning solutions have reduced error rates from the industry average of 1 in 100 entries to just 1 in 10,000—representing a 99% improvement. According to implementation data, this precision has directly contributed to a 60% reduction in manual review requirements. Subsequently, businesses have experienced faster verification times and lower operational costs. Notably, catching fraud early in the onboarding cycle through automated liveness checks has streamlined internal workflows, allowing compliance teams to focus on truly complex cases. Improved Conversion Rates in Mobile KYC Implementation of ScanDoc typically reduces customer wait times from 20 minutes to just 5 minutes—a 75% improvement in processing efficiency. This speed enhancement is critical since over 70% of users abandon excessively long onboarding processes. In practice, KYC conversion rates have improved from industry averages of 65-95%, primarily by removing friction points that previously caused high drop-off rates. Detection of Deepfake Attempts in Live Environments In 2024, a deepfake attempt occurred approximately every five minutes, with a 245% year-over-year increase worldwide. Despite this surge, ScanDoc’s sophisticated liveness detection has successfully identified and blocked these attempts in real-time environments. This capability has become increasingly valuable as studies show only 21.6% of people can correctly identify AI-generated videos. Integration and Compliance in Identity Workflows Effective identity verification extends beyond technology alone—it must fit into broader business processes. ScanDoc’s liveness detection solution addresses this need through flexible implementation options and strict adherence to global regulations. Seamless Integration with KYC and AML Systems ScanDoc functions as a core component within comprehensive Know Your Customer (KYC) and Anti-Money Laundering (AML) frameworks rather than as a standalone solution. The system offers: API-based architecture enabling straightforward incorporation into existing verification workflows Docker container implementation that minimizes impact on IT infrastructure while accelerating deployment timelines Compatible integration with existing user interfaces without disrupting the customer experience This design philosophy ensures that businesses maintain full control over their user interface while embedding robust verification capabilities into their processes. Particularly in financial institutions, liveness detection enhances remote onboarding by confirming the physical presence of individuals initiating transactions or opening accounts. Data Privacy and GDPR Alignment Beyond technical capabilities, ScanDoc prioritizes regulatory compliance through: End-to-end encryption for all document images and extracted data Alignment with ISO/IEC 30107-3 standards for biometric presentation attack detection Comprehensive compliance with GDPR principles as a baseline for global privacy protection Regional hosting options to meet specific data protection requirements Given that liveness detection often processes biometric data, which receives special protection under GDPR, ScanDoc implements strict security protocols. The system employs robust access controls, detailed audit trails, and secure data handling practices that satisfy regulatory scrutiny. Additionally, ScanDoc helps organizations meet their own compliance obligations by providing tools that document verification processes. This dual approach—meeting internal standards while enabling customer compliance—creates a transparent environment that builds trust throughout the verification ecosystem. By addressing both technical integration and regulatory alignment, ScanDoc delivers a solution that works within real-world business constraints while satisfying increasingly stringent identity verification requirements. Conclusion Identity fraud continues to evolve at an alarming rate, therefore businesses must implement robust verification systems to protect themselves and their customers. ScanDoc’s liveness detection technology stands as a formidable defense against increasingly sophisticated fraud attempts through its multi-layered approach. The combination of active challenge-response mechanisms, 3D depth sensing, and micro-expression analysis creates a security framework that fraudsters find extraordinarily difficult to circumvent. Real-world deployments clearly demonstrate the effectiveness of this approach. Financial institutions have witnessed substantial reductions in synthetic identity fraud while simultaneously decreasing manual review requirements by 60%. Additionally, conversion rates have improved significantly as customer onboarding times dropped from 20 minutes to just 5 minutes. Perhaps most importantly, ScanDoc’s system has proven highly effective against the rising threat of deepfake attacks, which now occur approximately every five minutes globally. This protection remains crucial as research shows only 21.6% of people can correctly identify AI-generated videos. Organizations seeking comprehensive identity verification solutions will find ScanDoc’s seamless integration capabilities particularly valuable. The system works harmoniously with existing KYC and AML frameworks while maintaining strict compliance with privacy regulations like GDPR. This balance between security, usability, and regulatory alignment addresses the complete spectrum of identity verification challenges. As fraudsters develop increasingly sophisticated methods to bypass traditional security measures, liveness detection has transformed from a supplementary feature into an essential component of any comprehensive identity verification strategy. ScanDoc’s technology exemplifies how advanced biometric solutions can effectively protect businesses while still delivering the streamlined experience modern customers expect. FAQ What is liveness detection? Liveness detection is a biometric security feature that ensures a real, live person is present during identity verification—not a photo, video, or mask. How does ScanDoc’s liveness detection work? ScanDoc combines active, challenge–response prompts (e.g., “turn head left,” “smile,” “close eye”) with AI-driven algorithms that analyze 3D depth mapping, motion cues, infrared reflections, and micro-expressions to confirm genuine presence and defeat spoofing. What types of attacks can it prevent? It stops common spoofing tactics—printed photos, video replays, silicone masks—and is effective even against sophisticated deepfake attempts by detecting real-time responses and physical attributes. What real-world results has ScanDoc achieved? Fintech & finance: document error rates dropped from ~1% to 0.01%, and manual review time fell by 60%. Is ScanDoc’s liveness detection compliant and integrable? Yes. It aligns with ISO/IEC 30107-3 standards, supports GDPR, uses encrypted data handling, and integrates via API or Docker with existing KYC/AML systems.

Even in 2025, a surprising number of businesses still spend vast amounts of time manually entering data from ID cards and passports. Traditional OCR tools help a little, but they often fall short in terms of accuracy, context, and handling real-world complexity. That’s where ScanDoc comes in. Built on advanced AI-OCR technology, it goes far beyond essential text recognition. Whether you're scanning passports at a hotel check-in desk or verifying IDs for banking or government services, ScanDoc pulls accurate, structured data from all kinds of identity documents—fast. https://www.youtube.com/watch?v=yTsQcLqaVp4 Why ScanDoc Is Different Regular OCR software can read characters. But ScanDoc understands what it’s looking at. It’s trained on real-world documents from around the globe, so it can handle everything from worn-out passports to low-res camera captures. It doesn’t just grab the text—it knows what each piece of information means, where it belongs, and how it fits into your process. Here’s how ScanDoc takes document scanning to the next level: Instantly Knows What It's Looking At Upload a passport, national ID, or driver’s license, and ScanDoc will automatically recognize the document type and apply the right processing. Setting up templates or manually sorting different file types is unnecessary. Context-Aware Data Extraction ScanDoc doesn’t just copy what’s written—it understands what it says. It can tell a first name from a last name, pick out expiration dates even when formats vary, and make sense of layouts in multiple languages. It’s like having an intelligent assistant who reads the document how a human would—but faster and more accurately. Reads and Verifies MRZs For passports and national IDs, the MRZ (Machine Readable Zone) is critical. ScanDoc reads it, verifies it, and checks for tampering. It follows international standards, so you know the data you’re getting is correct and reliable. Handles Handwriting and Signatures Not everything is typed. If your documents include handwritten fields, such as customs forms or client signatures, ScanDoc can read those too. It’s trained on both cursive and printed handwriting, offering surprisingly high accuracy even when the writing’s not perfect. Multilingual and Ready for Global Use ScanDoc supports more than 80 languages, and it can even translate the extracted text into your preferred language. That means it works just as well with a Croatian ID as it does with a Japanese passport—perfect for businesses that deal with international customers. [caption id="attachment_2530" align="alignnone" width="300"] Document Data Extraction[/caption] Real Problems, Real Solutions ScanDoc helps hotels speed up check-in in hospitality by instantly capturing guest information from passports, cutting wait times and reducing errors. Travel companies use it to streamline boarding and ticketing. Banks rely on it for fast, compliant customer onboarding without the need for manual entry. And in healthcare, it verifies patient identity while securely handling sensitive personal info. ScanDoc also supports border control and government agencies in processing visas, customs forms, and ID checks—automating tasks that would normally take a human much longer. Leaving Old-School OCR Behind The problem with traditional OCR tools is that they weren’t built for messy, real-world documents. They often fail when the scan is blurry, the format is unfamiliar, or the language isn’t supported. And they usually require templates or rules that must be set up in advance. ScanDoc avoids all that. It uses AI to fix blurry images, recognize any layout, and adapt to the specific document it’s processing—no templates needed. That makes it more flexible, accurate, and easier to use. Whether you're dealing with 10 types of documents or 1,000, ScanDoc can handle it—right out of the box. Easy to Integrate and Built for Compliance ScanDoc was designed with businesses in mind. It comes with: Secure APIs for integrating into any app or system Full compliance with GDPR and HIPAA standards Regional hosting options to meet your data protection needs Output in easy-to-use formats like JSON, XML, or CSV See the Difference for Yourself As AI and automation continue to reshape our work, OCR is becoming a must-have for digital transformation. But it’s not enough to just scan text—you need insights, structure, and reliability. That’s precisely what ScanDoc delivers. Whether in travel, finance, healthcare, or public services, ScanDoc helps you scan smarter, work faster, and reduce risk. Contact us today to get more information about our offerings.