Advanced Document Scanning Software

Nov 28, 2023

Modern online document scanning solutions leverage artificial intelligence, machine learning, and computer vision to digitize, analyze, and manage a variety of documents.

The primary goals of a modern AI document scanning solutions in to extract information accurately, ensure data validation, enhance data security, improve efficiency, eliminate manual data entry errors, and reduce paper usage and storage requirements.

To successfully extract information from the documents, advanced scanning solutions use OCR, MRZ, and NFC to get accurate results.

Remote Identity Verification

To remotely verify an individual’s identity, the organization must ascertain if the customer undergoing onboarding is indeed the person they claim to be, and whether they are physically present.

In the identity verification process, the customer’s identity document or passport is processed. Personal data, including first and last name, date of birth, ID number, expiration date as well as photography are extracted from the document through Optical Character Recognition (OCR), Machine Readable Zone (MRZ), and Near Field Communication (NFC) and cross-referenced and validated with face recognition.

This also involves verifying the authenticity of the document to prevent tampering.

The subsequent step involves biometrically verifying the customer’s selfie against the biometric template created from the photograph extracted from their ID during document processing. Simultaneously, liveness detection employs various biometric measurements to confirm that the customer’s face is live and genuine, rather than a replica.

Two primary approaches to liveness detection exist: active and passive. Active liveness detection requires customers to perform specific actions, such as nodding, moving their eyes, blinking, smiling, moving their heads, device, or speaking.

In contrast, passive liveness detection, which has gained popularity, operates inconspicuously in the background during selfie capture, making it more challenging for fraudulent attempts to spoof the system.

Optical Character Recognition (OCR)

At the core of modern online document scanning lies Optical Character Recognition, or OCR. OCR is a technology designed to convert document information into machine-readable text. This is accomplished through a process that scans documents, identifies characters, and translates them into digital text that can be stored digitally.

OCR is suitable for extracting text from documents and identifying document type, full name, expiration date, DOB, address, and more.

Digital Customer Onboarding Process

In a digital setting, businesses deploy various apps or websites to acquire new customers and remotely verify their identities. Mobile apps that enable customers to complete the entire sign-up process using their mobile devices are commonly used.

These applications rely on a combination of technologies, including optical character recognition (OCR), document authenticity checks, MRZ parsing, and NFC chip reading to process the customer’s identity document or passport.

This data is then used to cross-verify the customer’s identity against their selfie. Facial biometrics compares the selfie with the photo on the document, while liveness detection ensures that the user is genuinely ‘live’ and real.

Numerous companies offer digital onboarding platforms and services for enterprises and organizations, as well as technology providers offering customizable digital onboarding solutions.

Machine Readable Zone (MRZ) Scanning

Machine Readable Zone (MRZ) scanning is a standardized format commonly used in identification documents, including passports and ID cards. The MRZ contains essential personal information laid out in a format that is easily readable and extractable by machines.

Modern AI document scanning incorporates MRZ recognition to rapidly capture information from identification documents. The MRZ typically includes the document holder’s name, date of birth, and passport number. By scanning the MRZ, businesses can instantly verify customer identities and streamline onboarding processes.

Customer Onboarding Procedure

The primary objective of the digital onboarding process is to remotely verify a customer’s identity, involving the examination of the client’s identity document and their face, along with presentation attack detection. While document processing and face verification technologies have been in use for some time, the challenge lies in ensuring the authenticity of the live, real person being onboarded.

The advent of video calls as a replacement for in-person visits marked a significant shift in this domain. With sophisticated spoof attacks on the rise, businesses and even governments are increasingly turning to facial recognition and liveness detection to securely verify identities online.

NFC Check: A Secure Verification Process

Near-Field Communication (NFC) is a technology that enables two electronic devices to communicate when they are in close proximity. In the context of document scanning, NFC can be utilized to extract data and verify the authenticity of identification documents.

Modern AI document scanning can swiftly read and validate NFC chips embedded in documents. NFC technology enhances document scanning by adding an extra layer of security and trustworthiness, making it particularly valuable in applications where document authenticity is of utmost importance.

Best Practices for an Effective Digital Onboarding Experience

Efficiency and user-friendliness are essential in digital onboarding to make a strong first impression. The identity verification process should be as smooth as possible to prevent user abandonment of time-consuming procedures or malfunctioning apps. To align with users’ expectations of a fully online process, digital onboarding should be entirely paperless, eliminating the need for physical document submission or branch visits.

Efficiency is key to ensuring that the onboarding process is quick, employing state-of-the-art technology for real-time identity verification. Furthermore, digital onboarding solutions should be accessible anytime, anywhere, and should function with low bandwidth or offline capabilities directly on users’ devices.

Security remains paramount, and organizations must only employ digital onboarding solutions that are capable of thwarting fraud attempts and safeguarding user data.

Data Extraction and Validation

After scanning the document and checking OCR, MRZ, and NFC, the data from the document is sent to validation, where the system ensures the accuracy and reliability. Data extraction involves identifying and extracting specific data fields, such as names, dates, and addresses, from scanned documents.

For example, when scanning a driver’s license, the AI system can extract the driver’s name and date of birth. Subsequently, data validation verifies the extracted information to ensure its accuracy.

This verification process may include cross-referencing the data against external sources or databases. In cases where data validation fails, the system can trigger alerts for manual review.

Data extraction and validation play a crucial role in various industries, from finance and healthcare to e-commerce and travel, where accurate data is essential for reliable transactions, regulatory compliance, and personalized customer experiences.

Digital Onboarding in Banking

The banking sector witnessed a rapid evolution in biometric-based digital onboarding, particularly during the pandemic. In banking, digital or client onboarding refers to the process of opening a bank account or accessing other banking services entirely online, typically through a mobile device.

Banks have a legal obligation to conduct Know-Your-Customer (KYC) checks. This requirement has led to the development of electronic Know-Your-Customer (eKYC) processes, which involve securely verifying a client’s identity digitally.

In the eKYC process, the bank must ensure the client is who they claim to be, which is especially challenging when online identity fraud is on the rise.

Digital onboarding plays a crucial role in addressing this challenge by verifying the client’s identity through document processing and biometric facial verification, including liveness detection.

Simple API

Introducing ScanDoc: Your Ultimate Online Document Scanning Solution

ScanDoc is a cutting-edge online document scanning solution that harnesses advanced AI deep learning algorithms to provide quick and easy document scanning while ensuring data accuracy and validation.

This versatile tool empowers businesses and individuals to streamline document management and data extraction processes with ease.

Benefits of Using ScanDoc for Your Document Scanning Needs

Utilizing ScanDoc for your document scanning needs offers numerous advantages:

Time Efficiency: ScanDoc simplifies and accelerates the document scanning process, saving you valuable time.
Accuracy: With advanced OCR and data validation, ScanDoc ensures that your scanned documents are error-free and reliable.
Versatility: ScanDoc supports a wide range of document types, making it suitable for various industries and applications.
Data Security: ScanDoc prioritizes data security, protecting sensitive information from unauthorized access.
Streamlined Workflows: ScanDoc optimizes your document management workflows, improving overall efficiency and productivity.
Improved Customer Experience: By streamlining processes and reducing errors, ScanDoc helps enhance the customer experience and build trust.
Cost Savings: By eliminating manual data entry and reducing paper usage, ScanDoc can lead to cost savings in the long run.

Conclusion

Modern AI document scanning, driven by technologies such as OCR, MRZ scanning, NFC checks, and data extraction and validation, has revolutionized document management in today’s digital age.

This approach offers a faster, more accurate, and efficient way to handle documents across a wide range of industries.

ScanDoc, a powerful document scanning solution, empowers businesses and individuals to simplify their document management processes while ensuring data accuracy and validation.

Its user-friendly interface, multifunctional scanning capabilities, and commitment to data security make it a valuable tool for anyone seeking to streamline document scanning and management. With ScanDoc, you can stay ahead in the fast-paced world of modern document scanning and experience the numerous benefits it brings to your workflow.

Click here and contact us for more information about ScanDoc.

Interested to see how ScanDoc can supercharge your business?

Request a Demo

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A Step-by-Step Guide to Implementing Document Data Extraction Solution

Considering replacing manual data extraction with a more time-effective, safe, and accurate document scanning solution? Implementing a data extraction solution can be challenging. With so many options on the market and features to explore, it can be difficult to understand which solution is the most compatible for your business. Read our step-by-step guide to implementing ScanDoc’s document data extraction solutions. We’ll guide you through the process from identifying your company needs, and integration possibilities to choosing types of devices. Step 1: Identify Needs for Data Extraction Solution The first step to implementing a data extraction solution is to identify your business needs. Evaluate if you will conduct data extraction online or in person. For instance, many hotels have both hotel reception and online check-in. Applying both methods provides more flexibility to guests, especially if they’re unsure of their arrival time. Secondly, you might need more than data extraction. It’s possible to combine ID document data extraction with face recognition. Financial institutions usually have an online verification process in place for opening a bank account remotely without visiting a bank, requesting a credit card, or applying for a loan. Face recognition plays a key role in preventing fraud and identity theft. After scanning their IDs using a mobile phone, customers take a selfie for face recognition. The system compares customers’ selfies with their ID photos. An additional layer of safety such as active and passive liveness detection ensures a living person is applying. Step 2: Allocate a Budget After you’ve identified your organization's data extraction needs, it’s time to define a budget. Most data extraction solutions charge per scanned ID document. In that case, you should count how many customers every month you have. A lot of data extraction systems offer different pricing options. If you have multiple objects where you need to scan IDs, there’s sometimes an option to pay per location (chain of hotels, banks, etc). Step 3: Consider Document Scanning Integration As an established business, you probably have industry software in place. If you’re planning to add a data extraction solution, it’s a priority to consider how it would integrate into the existing system. Implementing data extraction into mobile apps, desktop applications, or web-based platforms can be easy. Developers can simply integrate ScanDoc data extraction solution due to its Open API, and both iOS and Android SDKs. For instance, ScanDoc is already widely integrated into hotel property management systems, financial institutions, airlines, etc. Additionally, when it comes to processing ID documents using the image upload option, explore data extraction solutions supporting multiple formats. Customers often have their ID already ready to upload from their devices in different formats. ScanDoc supports various documentation including PDF, JPEG, PNG, and TIFF. In that case, customers won’t have to waste their time changing the format or retaking the photo of their ID. It's also important to understand how and if you want to store your data. ScanDoc can be installed on-prem or function in the cloud. For enterprises with IT team support, it might be more convenient to go for on-prem information storage. On the other hand, smaller and medium-sized companies find cloud storage is more affordable. Nonetheless, ScanDoc functions both ways. Step 4: Choose the Type of Device It’s possible to implement a data extraction solution to devices you’re already using in your daily business operations – phone, laptop, or tablet. However, many businesses choose to use an ID scanner. Even though you already have devices you can use, it’s more convenient to use a scanner due to its mobility. While you can carry around a phone or a tablet, they’re multipurpose devices with other apps and distractions on them. Additionally, laptops and tablets have lower quality cameras making it a bit harder to scan an ID on the spot. Regardless of the type of device you choose, ScanDoc can connect to any device with a camera. Step 5: Explore Data Extraction Software Options Considering there are different ID data extraction solutions on the market, it’s good to explore and compare their key features. Understand what the most important ones for your business are. Some of the most common data extraction features include: Fast time of data extraction Great user experience for employees and customers Effortless integration across any device Possibility of implementation to existing systems Accurate data extraction regardless of the document’s language and alphabet Data encryption ensures 100% security Along with software features, examine numerous benefits of data extraction solutions to your business. Implementing data extraction software is time efficient, reduces workload, improves customer service, saves you money, and more. Step 6: Try Data Extraction Software After reading through the ID data extraction guide, there’s one last step left. As with most of the tech solutions, it’s extremely important to see them in action before a long-term commitment. When you choose data extraction software and go through integration, it’s going to be more difficult to switch to other options down the line. It’s even more true if you have a chain of hotels and banks with multiple devices using the same data extraction software. Try out ScanDoc yourself in a few easy steps to see how it works. Take your phone and scan your ID to see how quickly and accurately your data is extracted. Additionally, you can test digital customer onboarding, credit card scan or document image upload. Other than trying out ScanDoc, you can always contact us for a demo or to answer questions you might have. [caption id="attachment_2521" align="aligncenter" width="810"] Data Extraction Example[/caption] Implementing Document Data Extraction to Your Organization ScanDoc data extraction solution has use cases across industries, including hospitality and finances. It’s extremely easy to use. Your employees won’t require any additional training to learn how to scan IDs. Moreover, ScanDoc works on different devices and can be integrated into existing systems. It reduces waiting times, allowing you to process more customers and reduce your costs. ScanDoc is an ideal replacement for manual data entry. It’s fast and accurately extracts data from IDs in various languages and alphabets. With ScanDoc you’re gaining an additional layer of safety to your business. Data encryption ensures all the personal data is hidden. Even in the case of unauthorized access, data will be unreadable. Want to know more about how your organization can benefit from ScanDoc data extraction software? Contact us to understand ScanDoc’s user cases, integration process, and pricing list.

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