Technical FAQs

The world of investment technology moves almost as quickly as the investment markets themselves. Without the right FinTech tools, today’s individual investors are likely to be left behind the latest financial trends. That’s why FinTech investment solutions are once again becoming a major point of emphasis for developers looking to expand access to key financial services.

The History and Impact of FinTech Investment Solutions

As a subset of the FinTech industry, “invest-tech” is sometimes used to refer to a wave of innovative investment management technologies that are helping to connect aspiring investors to the information and financial services they need to capitalize on new opportunities. Like many other FinTech applications, investment software tools have played a pivotal role in expanding access to financial markets and helping consumers take direct control of their investment decisions.

Much of the early FinTech investment market was driven by “robo-advisor” services that used sophisticated algorithms to provide customers with investment guidance. The boom reached its peak in the mid-2010s, with a record 81 new invest-tech solutions hitting the market in 2014. Since then, the number of launches has dwindled as established incumbents in the financial services sector moved in to acquire some of the most promising firms.

In many instances, those acquisitions were made to expand existing digital capabilities or to secure a new base of established investment customers. Since the typical FinTech investment user was younger and possessed fewer assets, the profit margins for many start-ups were simply too low and the costs of customer acquisition too high. This dynamic has gradually shifted the industry’s focus toward the B2B market, although crowdsourced investment platforms remain quite popular among many retail investors. 

The Current State of FinTech Investment Technology

FinTech investment platforms roared back into the public consciousness following the COVID-19 pandemic as the combination of work-from-home mandates and accumulated savings caused a rise in retail investment. Individual investors made up 19.5 percent of stock market activity in the first half of 2020, an increase of nearly five percent from the previous year. On a particularly busy day of trading, individual investors constitute a whopping 25 percent of market activity.

Thanks to mobile FinTech apps from startups and established players in the financial services industry, more people than ever before have access to investment opportunities, which has caused significant disruption to the market. The controversial rush on GameStop stock in early 2021, for instance, demonstrated just how much impact easy-to-access these platforms could have on investment trends.

This resurgence in retail investment could very well spark another wave of interest in FinTech investment apps, especially from established firms looking to expand their digital capabilities and capitalize on the growing market.

Enhancing the FinTech Investment Experience

For developers building the latest iterations of FinTech applications, there are a few key features worth focusing on to deliver a better investment experience. 

Sharing Data and Portfolios

While being able to access investment portfolio data on demand is valuable, customers are understandably concerned about the security of that data. Whether they’re building a retail investment app or a managed digital vault, developers need to provide a way of viewing private information securely. This is especially critical for digital documents. Relying on an external application for viewing or even just using the default browser viewer could potentially expose information to unauthorized users. By integrating secure, native viewing features, developers can ensure that investment portfolio data remains within a protected application environment.

Protecting Proprietary Research

One of the key benefits of working with an investment firm is having access to their market research when making financial decisions. In many cases, financial projections are calculated using proprietary formulas embedded within spreadsheets. Unfortunately, spreadsheets pose a number of security and compatibility problems. Even if a workbook is shared securely, there’s often little to stop someone from copying the proprietary formulas embedded within the cells and using it for other purposes. FinTech developers need ways to make those spreadsheets available without also compromising the valuable formulas developed over years of painstaking research.

Improving Data Capture

Making the right investment is all about having the right information. That data could come from a variety of sources, and in many instances it will need to be collected and analyzed before it can be of any use. Automating the data capture process can help to get that information into a customer’s hands faster. For example, customer information can be updated quickly by automatically extracting data from structured forms like tax filings. Scanned documents can also be converted into searchable PDFs using Optical Character Recognition (OCR), which makes it easier for AI-powered tools to sift through data in search of trends and potential opportunities.

Choosing the Right FinTech Investment Integrations

Building a successful FinTech application requires developers to build innovative tools that set them apart from the competition while also implementing everyday functionality that often lies outside their experience or expertise. Features like document viewing, annotation, and file conversion may be integral components of their platform, but take both time and development resources to build from scratch. By turning to SDKs and APIs, developers can quickly roll out new features without detracting from their primary software development goals.

Accusoft has been working with FinTech investment platforms for many years, helping developers to build powerful InsureTech applications without sacrificing the viewing and image processing technology that customers expect.

• PrizmDoc Viewer: Adds secure HTML5 viewing, annotation, conversion, and redaction capabilities to web-based applications, allowing developers to control every aspect of the viewing experience without compromising privacy.
• PrizmDoc Cells: Provides full XLSX support for applications, making it possible to securely upload and share Excel workbooks without exposing the source file or allowing users to access and copy proprietary formulas.
• FormSuite: A versatile forms SDK that allows developers to add form template identification and data extraction to their application, making it easier than ever to automate and streamline workflows.
• ImageGear: In addition to conversion and compression tools, it also provides full-page OCR for converting scanned documents into searchable text.

Learn more about how Accusoft is helping FinTech developers to drive the next generation of investment technology platforms.

Implementing specialized viewing technology saves time and resources during the development process so FinTechs can get their products to market faster. By selecting the right integration partner from the beginning, they can put themselves in a position to scale capabilities in the future without suffering unexpected costs or compromising performance. 

Viewing Integrations and the Problem of Scale

FinTech developers often turn to API-based viewing integrations like Accusoft’s PrizmDoc because they provide the tremendous power and flexibility that modern financial services applications require. Whether it’s file conversion, robust annotation, document assembly, or redaction, FinTech software must be able to provide extensive document processing features to meet customer expectations.  

In order to implement those advanced viewing capabilities, the developer usually needs to set up a dedicated server as part of their on-premises infrastructure or in a cloud deployment. One of the biggest advantages of API-based integrations is that customers only have to pay for the processing resources they use, but this can also pose some challenges when it comes to scaling application capacity. 

As FinTech companies expand their services, they need to be able to deliver document viewing capabilities to a larger number of users. If each viewing session requires the server to prepare and render documents for viewing, costs can quickly escalate. As server workloads increase, viewing responsiveness may be affected, resulting in delays and slower performance. 

While some users may still need to use server-based viewing to access more powerful imaging and conversion features, many customers simply need a quick and easy way to view and make minor document alterations. FinTech developers need a versatile solution that can meet both requirements if they want to scale their services smoothly. 

Introducing PrizmDoc Hybrid Viewing

PrizmDoc’s new Hybrid Viewing feature provides FinTech applications the best of both worlds by offloading the document processing workloads required for viewing to client-side devices. Rather than using server resources to convert files into SVG format and render them for display, Hybrid Viewing instead converts files into PDF format and then delivers that document to the end user’s browser for viewing.  

Shifting the bulk of document processing work to client-side devices significantly reduces server workloads, which translates into lower costs for FinTech applications. 

For documents not already in PDF format, the PrizmDoc Hybrid Viewing feature offers new PDF viewing packages that pre-convert documents into PDF for fast, responsive local viewing. 

By reducing the server requirements for rendering files, FinTech providers can easily scale their applications without worrying about additional users increasing their document processing costs. PrizmDoc Hybrid Viewing also eliminates the need for separate viewing solutions implemented to work around server-based viewing, which allows developers to streamline their tech stack and further optimize customer experiences. 

5 Ways Hybrid Viewing Enhances FinTech Applications

PrizmDoc’s Hybrid Viewing feature provides FinTech developers with several important benefits that improve application flexibility and deliver greater value to their customers.  

1. Resource Savings 

Hybrid Viewing minimizes server loads by offloading the bulk of the processing required to view a document to client-side devices. Reducing server requirements translates into lower costs and frees up valuable processing resources for other critical FinTech workloads. 

2. Scalable Viewing 

Shifting the processing work required for viewing to local devices allows FinTech applications to scale their user base with minimal cost. 

3. Enhanced Performance 

Offloading document preparation to the end user’s device improves viewing speed and responsiveness, especially for large documents. 

4. Increased Productivity 

Diverting workloads to client-side devices allows application users to process, view, and manage multiple documents faster. FinTech developers can leverage Hybrid Viewing to provide a better user experience that helps their customers to be more efficient and productive. 

5. Improved Storage Management 

For documents not already in PDF format, Hybrid Viewing can utilize PDF-based viewing packages that are significantly smaller than conventional SVG viewing files. Files can be pre-converted for fast, easy viewing without taking up extra storage space. 

Enhance FinTech Applications with PrizmDoc Hybrid Viewing 

PrizmDoc’s new Hybrid Viewing feature allows FinTech developers to seamlessly scale their application’s viewing capabilities without having to deploy new servers or rethink their cost structure. Shifting document processing to local devices provides end-users with faster, more responsive performance, especially when viewing lengthy documents. By keeping viewing-related costs low, FinTech developers can focus their resources on developing new application features that help their products stand out in an increasingly competitive market. 

To learn more about how PrizmDoc’s Hybrid Viewing can benefit your FinTech application, talk to one of Accusoft’s PrizmDoc specialists today.

Few industries have been impacted by the proliferation of digital technology than the financial services sector. In fact, it’s one of the few markets where the average consumer can easily observe how much has changed in a short amount of time. Many people haven’t even set foot inside a bank for years, and millions pay all of their bills exclusively online. According to the US Federal Reserve, personal checks declined from 58.8 percent of non-cash payments in 2000 to just 8.3 percent in 2018. Both of these trends are driven by the increased convenience of FinTech applications, and the same changes have impacted the lending industry, as well.

What Is FinTech Lending?

Since the 2008 financial crisis, a new breed of lenders has become a disruptive force in the banking sector. Unburdened by the cumbersome infrastructure that makes large financial institutions slow to adapt to change, FinTech lenders utilize the latest technology to deliver a more responsive, personalized, and transparent lending experience to consumers. These innovative startups have combined easy-to-access digital platforms with sophisticated data analytics to streamline the lending process and deliver funds to borrowers much faster than could be accomplished with traditional loans.

Borrowers, it seems, have been quick to embrace this alternative source of lending. From 2013 to 2018, FinTech companies increased their share of the personal loan market from a mere five percent to thirty-eight percent. That rapid growth is a result of increased penetration into the digital marketplace and more flexible credit scoring that allows FinTech lenders to assess risk and approve loans more effectively. 

In the early days of the industry, most FinTech lenders still relied upon traditional FICO credit scores when evaluating a borrower’s potential to repay loans. Over time, however, they have used a variety of alternative scoring mechanisms driven by data collection algorithms to create a more dynamic picture of a borrower’s credit status. Between 2007 and 2015, for instance, the correlation between FICO scores and the rating system used by one prominent peer-to-peer FinTech lender declined from 80 percent to just 35 percent.

The “Tech” Behind FinTech Lending

The loan adjustment algorithms working under the hood of FinTech lending applications are incredibly sophisticated, but they need good data for fast, accurate underwriting. While traditional lenders focus on predictable data points like income, debt payments, and assets, the digital nature of FinTech applications allows them to go much more granular. By gathering insights from other customer applications, internet searches, and even geolocation data, they can create a more complex profile of each customer, which then allows them to structure loans and other financial products that meet their specific needs while also protecting the lender to unnecessary risk.

This new approach to lending has helped FinTech applications to cut down the “time to yes” on credit decisions from the three to five weeks commonly seen from traditional banks to as little as five minutes. Even more critically, they can use digital funding to deliver cash to borrowers in less than 24 hours compared to the typical lender’s three month response time.

Improving “Time to Yes” on Credit Decisions

In addition to deploying more sophisticated risk adjustment algorithms to assess credit worthiness, there are some additional ways that FinTech lenders can continue to improve performance and efficiency.

Embrace Paperless Automation

The first and most obvious step they can take is by eliminating paper forms from the application process whenever possible. One of the reasons why banks and other financial services organizations move so slowly is due to the time it takes to fill out, fax, scan, and review physical documents. Not only are these forms inefficient, but they’re also prone to clerical errors when an applicant’s data needs to be transferred from the form into a database or application. By digitizing the application process wherever possible and automating data capture, FinTech lenders can significantly cut down on processing times and eliminate the human errors that so often create additional delays.

Increase Document Management Versatility

Shifting to an emphasis on digital documentation brings another complication along with it because there are a variety of file formats used throughout the financial industry. Some documents need to be in a specific format for compliance purposes, and if customers are submitting files through a FinTech lending platform, they could be using multiple different file types. 

In order to streamline processing, FinTech applications need to be able to easily convert a wide range of file types into a few key formats that work best with their processing workflows. That means FinTech developers will need to integrate powerful document conversion tools into their software to ensure that they can avoid any troublesome incompatibility issues during loan processing.

Enhance Data Capture Capabilities

Although FinTech lenders are developing incredible algorithms capable of analyzing massive amounts of data to shorten credit application times, they are still dependent upon the information made available to them. That means developers need to implement data capture tools that can pull key data from a variety of sources and compile it into an easily searchable format. 

Optical character recognition (OCR) engines can quickly extract information for any number of documents and images to create searchable files that FinTech software can quickly process as needed. For hand-printed documents scanned into digital format, intelligent character recognition (ICR) tools can be deployed just as effectively, allowing FinTech lenders to gather data from a wide variety of sources.

Expand FinTech Lending Capabilities with APIs and SDKs

One of the easiest ways for FinTech developers to quickly build lending-friendly features into their applications is to leverage API and SDK integrations. Rather than building new functionality from scratch, they can instead take advantage of existing, proven solutions to enhance their applications. This allows them to keep the focus on the core differentiators of their FinTech lending platform, allowing them to process and approve loans faster while minimizing potential risk.

Accusoft’s collection of API and SDK integrations provide powerful viewing and processing capabilities when it comes to FinTech workflows. Whether you need to convert multiple file types quickly, clean up document images, or perform OCR data capture, Accusoft has the solution to unlocking your FinTech lending application’s potential.

The COVID-19 crisis has permanently changed the way banks do business. While many financial firms were already shifting away from brick-and-mortar branches toward both mobile and digital alternatives, pervasive pandemic priorities required a rapid shift in physical presence — forcing companies to rapidly react with remote work alternatives.

Some — such as JPMorgan — were already prepping for potential shifts in early March, deploying a pilot project that saw 10% of its 125,000 employees working from home. Banks like BMO, meanwhile, have embraced the new normal. The company says that around 36,000 staff members may permanently split their time between home and corporate offices. 

While this focus on employee efficacy and engagement is critical, productive people aren’t the only element of remote work success. Security and speed are two of the qualities that consumers now expect across all key banking functions, and firms must prioritize digital processes that streamline these processes without compromising financial requirements. 

But what does this look like in practice? How do organizations handle document management, process automation, and employee collaboration at a distance — without breaking the bank?

Facing Financial Frustrations

When work-from-home went from “maybe” to mandate, Deutsche Bank found itself racing to keep up. With just a few thousand out of its 90,000-strong workforce already working remotely, the firm was under pressure to scale capabilities quickly — from reimbursing staff for device purchase to rolling out video conferencing tools for more than 50,000 employees in less than two weeks, the bank has been under pressure to deliver remote work processes that deliver both continuity and compliance.

With finance firms historically lagging on technology adoption, however, this presents a significant problem. While cloud-based communication and collaboration tools are now commonplace — and can be readily adapted to work-from-home environments — the tools and tech necessary to underpin key financial functions are often tied to in-house server stacks and legacy applications. 

This creates a digital disconnect. While staff may have access to corporate networks, many of the secure document management and financial processing solutions they need to complete day-to-day operations simply weren’t designed to operate at a distance. Security accounts for part of this separation — regulatory control is critical for banks to ensure client privacy — but many banks have also focused on familiarity over functionality, adopting a “good enough” approach to cumbersome, on-site applications. As a result, firms now face financial frustration across critical workflows, including:

• Consumer Vetting — How do banks effectively evaluate potential client credit histories and financial foundations to deliver tailored service recommendations at a distance? Insecure credit or personal data access could have significant regulatory and legal repercussions.
• Credit Approvals — Necessary credit checks require secure connections and the assurance that data won’t be subject to theft or man-in-the-middle attacks.
• Loan Applications — Bank staff must complete complex forms at a distance and firms must ensure work-from-home employees have the tools they need to handle multiple file formats.
• Account Management — Opening, closing, and modifying account information requires secure access and the ability to share key documents with specific data removed or redacted. Financial data shared outside secure workflows could result in compliance failures.

Solving for Scale

While many big banks are preparing partial return-to-work strategies or ramping up remote work solutions, smaller financial firms don’t have this luxury. The scale of large enterprises affords bigger budgets for IT management and deployment, giving them a deeper pool of resources to pull from when deciding how best to support staff and systems at a distance. From in-house IT teams capable of creating custom-built apps to legacy software solutions that can be updated to work with new collaboration tools, the scale of big banks offers a marked advantage.

For smaller financial firms with the bulk of their workforce already at home and a return to the office unlikely in the near future, fragmentation is the familiar framework. Many SMEs now use multiple document management applications to streamline key processes — but these apps don’t always work well together.

In the office, this doesn’t pose a significant problem — staff might lose time switching between software tools or moving data across digital divides — but at home, access and agility are both restricted. This becomes more complicated thanks to the rise of multi-cloud computing. While purpose-built cloud services empower small banks to keep pace with their enterprise counterparts, they introduce complexity as access points both multiply and diversify.

Driving Digital Dividends

To drive digital dividends at a distance, smaller banks are well-served by the implementation of advanced software development kits (SDKs) and application programming interfaces (APIs). These tools make it possible to integrate advanced functionality into existing apps without compromising the security of critical banking data. To deliver remote work potential, firms need SDKs capable of:

• Collaboration — Integrate key collaboration functions including in-app document viewing to enhance data security, easy annotation and commenting options to ensure all staff are on the same page for multi-step application or approval processes, and burn-in redaction to enhance the protection of client or corporate data. 
• Conversion — As complex, compliance-heavy processes such as loan applications, credit evaluations, and financial investments move to remote, on-demand models, banks need no-touch data processing that makes it possible to view multiple file types — including familiar Word and Excel files along with more specialized image formats — and convert these files to PDF documents for easy search. 
• Capture — Automated data capture, field recognition, and forms processing not only reduce the amount of time staff spend creating new forms and completing current applications, they also reduce the risk of human error. Enable your team to take complete control of document management functions with powerful character recognition, scanned document cleanup, and form identification — all from within your own application.

The “new normal” for banking relies on digital services. Advanced SDKs and APIs make it possible for firms to succeed over both time and distance by delivering comprehensive collaboration, conversion, and data capture without breaking the bank.

Effective document management is now a top priority for organizations, but for many, it remains a challenge. As noted by recent AIIM survey data, companies are struggling to handle both the documents they have and the rapid uptake of new information. In fact, 43 percent said their biggest priority is effectively leveraging the structured and unstructured content they already have, while 57 percent are focused on understanding the overwhelming big data.  Optical character recognition (OCR) is a critical component of document management.

For software development firms, this poses a particular challenge. Products are no longer feature complete without critical end-user functions such as advanced optical character recognition and powerful search. However, adding this functionality is not as easy as it sounds. Developers building out this comprehensive construct from the ground up requires both time, effort, and continued maintenance, which is a large undertaking for any company.

Accusoft’s ImageGear SDK offers a way to bridge the OCR gap with comprehensive image processing and manipulation capabilities that both streamline software development and deliver on end-user expectations.*

What is ImageGear?

ImageGear easily integrates into existing applications to deliver cutting-edge document management functionality at scale. Available for both .NET and C/C++ frameworks, ImageGear allows developers to quickly deploy and white-label key features including image processing, manipulation, conversion, and PDF and document search.

This add-on OCR functionality delivers highly-accurate optical character recognition to any .NET (C#) or C/C++ application. ImageGear’s OCR add-on provides full-page character recognition for more than 100 languages — including both Western and Asian languages such as Korean, Japanese, and Chinese character sets. It’s capable of recognizing multiple languages within a single image for enhanced document management. Other OCR features include:

• Automatic page segmentation into individual zones for processing
• Type assignment per zone based on defined flows, tables, or graphics
• Table detection with advanced technology to enhance data reconstruction output
• Entire page or individual region image processing
• Zone definition by user, existing files, or detected automatically by the OCR engine

In addition, software developers can enhance ImageGear OCR functionality by leveraging both predefined and customizable dictionaries to ensure validated results using regular expressions. 

Why Optical Character Recognition (OCR) Matters to End-Users

Advanced OCR integration makes it easier for end-users to find what they’re looking for, when they’re looking for it. Instead of forcing users to find additional apps that deliver specific services, in-app OCR delivers increased satisfaction by streamlining user search functionality.

Common use cases include:

• Legal eDiscovery — The eDiscovery process is a critical — and often complex — stage of legal case preparation. Firms need to quickly find key terms, phrases, and images within legal documents to ensure they meet both client expectations and compliance obligations. With many forms now scanned and stored in non-standard file formats that contain form fields, text boxes, and digital imagery, OCR is essential to help lawyers streamline the process of eDiscovery at scale.

• Financial Document Processing — Clients now expect loan applications and credit card applications to be processed at scale and speed. This is especially critical as firms embrace the idea of remote work — both staff at home and those in the office need end-to-end OCR functionality to deliver complete document management.

• Insurance Documentation Assessment — Insurance claims are both complex and comprehensive, requiring complete documentation from clients, contractors, and compliance agencies. As insurance firms move to tech-first frameworks to enhance document processing, speed, and accuracy, OCR makes it easy for staff to find specific data and ensure documentation is complete. 

Integrating OCR

Advanced OCR functionality won’t deliver expected outcomes if integration is cumbersome and complex. ImageGear streamlines this process with easy SDK implementation for both .NET and C/C++.

ImageGear .NET can be easily deployed on multiple platforms. These .NET deployments include ASP.NET functions such as image display, thumbnail display, annotation support, and cloud capture along with WPF printing and annotation support. ImageGear for C/C++, meanwhile, offers support for several platforms as well. Check out the developer resources section to see an updated list.

How Your Clients Use Optical Character Recognition (OCR)

PDFs remain the go-to file format for many industries, offering both standardized image and text conversion along with the ability to easily set or restrict document permissions. The problem? PDFs are notoriously difficult to search, making it hard for end-users to quickly find the text or data they need.

ImageGear makes it easy to OCR PDFs using the ImGearRecPage.Recognize Method, which leverages the zone list of the image to deliver accurate OCR — or, if this list is empty, automatically calls the page-layout decomposition process (auto-zoning) to complete the OCR process.

C# supports OCR to PDF.

using System.IO;
using ImageGear.Core;
using ImageGear.Formats;
using ImageGear.Evaluation;
using ImageGear.Recognition;

namespace ImageGearTest
{
    class Program
    {
        static void Main(string[] args)
        {
            // Initialize evaluation license.
            ImGearEvaluationManager.Initialize();
            ImGearEvaluationManager.Mode = ImGearEvaluationMode.Watermark;

            // Initialize the Recognition Engine.
            ImGearRecognition igRecognition = new ImGearRecognition();

            // ImageGear assemblies require explicit initialization at application startup.
            ImGearCommonFormats.Initialize();

            // Open a FileStream for our output document.
            using (FileStream outputStream = new FileStream(@"c:\temp\outputDoc.txt", FileMode.OpenOrCreate, FileAccess.ReadWrite))
            {
                // Open a FileStream for our source multi-page image.
                using (FileStream multiPageDocument = new FileStream(@"c:\temp\test.tif", FileMode.Open))
                {

                    // Load every page of the multi-page document. Starting at page 0 and loading the range of spaces specified.    
                    // Since the range is -1, that specifies that all pages shall be loaded.     
                    ImGearDocument doc = ImGearFileFormats.LoadDocument(multiPageDocument, 0, -1);

                    // Determine the amount of pages in the multi-page image.
                    int numPages = ImGearFileFormats.GetPageCount(multiPageDocument, ImGearFormats.UNKNOWN);

                    // Recognize each page of the multi-page document and add the results to outputStream.
                    for (int pageNumber = 0; pageNumber < numPages; pageNumber++)
                    {

                        // Cast the current page to a raster page and import that page.
                        using (ImGearRecPage igRecPage = igRecognition.ImportPage((ImGearRasterPage)doc.Pages[pageNumber]))
                        {

                            // Preprocess the page.
                            igRecPage.Image.Preprocess();

                            // Perform recognition.
                            igRecPage.Recognize();

                            // Add OCR results to the outputStream.
                            igRecognition.OutputManager.WriteDirectText(igRecPage, outputStream);

                        }
                    }
                }

            }
            // Dispose of objects we are no longer using.
            igRecognition.Dispose();
        }
    }
}

OCR Access and Analysis

Advanced OCR isn’t enough in isolation — developers must also empower end-users to quickly access and analyze OCR output. ImageGear offers multiple options to help streamline this process, such as:

• Storage of Output as Code Pages
• Export to Text Format
• Export to PDF
• Export to MRC PDF
• Export to a Formatted Document

Find Your Best Fit

ImageGear OCR makes it easy for end-users to quickly search critical documents, find the data they need, and analyze optical character recognition output, but don’t take our word for it. Seeing is believing. Test ImageGear in your own environment and discover the difference of advanced OCR. 

*Optical character recognition is an ImageGear add-on and must be requested upon purchase of a license.