Download the App, full source code for this app, and view screenshots here: Android App and Source Code

“The new OCR-IT Demo Android App, for the lack of better name, and its source code are designed to help app developers bring the power of OCR to their Android apps easily and seamlessly,” said company officials at OCR-IT. “In the onslaught of new apps for Android smart phones, we believe that those that integrate OCR will stand out for users. These capabilities add significant values since it lets users do more in less time by transforming paper-based documents into usable formats. We want to help more developers bring these capabilities to end users.”

The OCR-IT Demo Android App allows users to capture images of documents taken with a smart phone camera and to create a document library to house document images. The solution provides single-button access that extracts text in several predefined hard-coded languages in seconds. Results can be viewed in two hard-coded formats: Searchable PDF and Plain Text TXT.  In addition, the OCR-IT Demo Android App offers links to external pages that provide additional information about OCR in the Cloud, as well as transparent details that allow developers to see OCR processing in action.

Officials at OCR-IT LLC stated: “OCR-IT is particularly suited to helping app developers integrate seamless OCR into Android apps. We believe that OCR capabilities stand out as a feature that adds significant value to these applications since they allow users to quickly translate paper-based documents into usable formats. Users are looking for ways to do more, and do it more quickly and we want to help developers deliver those capabilities.”

ScanThing allows users to capture images of documents taken with a smart phone and then extracts text and saves and archives the documents. Later, these documents are readily available and can be found by using a key word search. ScanThing enters the marketplace as the first and only app that allows this complete capture and document management functionality on the Android operating system.
“We are thrilled about the positive feedback we have already gotten in the Android Marketplace in such a short time,” said Samuel Daly, marketing manager at ScanThing. “In fact, we have sold our app to over 30 different countries around the world in our first month.”

The application typically takes just a few seconds to perform the picture to text extraction process. Once it’s complete, users can view the original image along with the extracted text. They then have the option to tag documents for fast finding in the document dashboard. The app recognizes text in 33 different languages.

User adoption, response and feedback have been excellent. Currently, the app has near five-star rating on the Android Market.

The OCR-IT OCR cloud platform ties together high-quality OCR technologies and cloud-based scalability through a powerful Web API. The API allows developers, regardless of background and experience, to add powerful image and picture cleanup tools and optical character recognition (OCR) in over 50 Latin and Cyrillic languages to their applications. The API provides enhanced control over text extraction, and offers a wide selection of input and output formats.

For latest information about OCR-IT OCR Cloud 2.0, or to open a free development account, please visit: http://www.ocr-it.com/ocr-cloud-2-0-api

About ScanThing App
Website: www.scanthing.com
Marketplace Link: https://market.android.com/details?id=com.scanthing.android

• Use OCR-IT OCR Cloud 2.0 API for image to text processing (http://www.ocr-it.com/ocr-cloud-2-0-api)
• May not be an existing App listed on App Store as of March 12, 2012
• Should be iPad native (else how will you run it on your new iPad)
• Should have at least 100 downloads from App Store
• Should have at least 10 user feedback comments on App Store
• Mention and link to OCR-IT Cloud 2.0 API from the App Store page and App website (if exists)

Submit your qualifying App to support@ocr-it.com for a chance to win.  Your App may be the big winner, and we’ll highlight the winning App in our monthly Update Letter.

We at OCR-IT are looking forward to rewarding your creativity and enthusiasm.

NOTE: Void where prohibited by law or restrictions.  Offer is not available to OCR-IT employees or relatives.  OCR-IT will cover shipping costs to USA or international addresses via a carrier of OCR-IT’s choice.  OCR-IT will NOT be responsible for any duties, import taxes, or other international fees.  Selection of a winning App will be solely determined by achieving requirements listed above and by earliest date of listing on App Store.  Submissions to support@ocr-it.com are considered received after acknowledgement.  Apple, iPad are registered trademarks of Apple Computer.

Contact support@ocr-it.com for questions.

ANSWER (from http://stackoverflow.com/questions/7362926/what-is-the-state-of-the-art-in-ocr-of-bank-statements-in-net)

We have first hand experience, and I have done it in two different ways in the past.

Full Page OCR First, you can take the approach of “full-page OCR” and then parse the information into your desired data format. There is a variety of Engines with .NET support, such as ABBYY Engine SDK, or even a completely free-to-start cloud-based on-demand OCR API (OCR Cloud 2.0, http://www.ocr-it.com/ocr-cloud-2-0-api). This is more of a classic approach I used for over past 10 years and up to a few years ago. OCR provides you with a complete text-based result, and you use algorithms to extract informaiton. This approach is quite static and requires heavy programming usually, especially if there are multiple variations. There are two potentially troublesome areas to look for in this approach:

A. making sure that OCR provides consistent layout and text structure so it could be parsed reliably. If there is a table without gridlines, or if there is just tabular data that could be detected as a table, then OCR may work unpredictably from document to document, which essentially breaks your parsing down the road.

B. making sure that your parsing logic can accommodate various formatting differences and multiple variations of data structures. This is pure programming that requires code changes for adjustments or updates.

Dynamic Data Capture Second, use a modern dynamic data capture system that automates template identification and data extraction. This is the approach I have been using instead of parsing for a few years now, and it is several times faster and more convenient to create and operate. In this process you would use a specialized software, such as ABBYY FlexiCapture(http://www.wisetrend.com/abbyy_flexicapture.shtml), which will take care of two aforementioned issues with variable data formats and different templates. Before processing it needs to be setup and “trained” to identify different statement types and how the data is located on those different variations. It performs all setup through User Interface and not coding, and you can plugin custom scripts if desired. If it needs to be re-trained for a new template, or trained to capture some data more reliably, it takes a few minutes without coding or programming experience. I have trained accountants to maintain and adjust their invoice templates themselves.
(see their feedback here:http://www.prweb.com/releases/2011/wisetrend_wiseinvoice/prweb4936544.htm)

NOTE: FlexiCapture is not .NET SDK, but an application with complete automation. It can be used interactively by operators, or typically I use it for 100% server-based automation. Once setup, I feed images to it for Input, and get my properly formatted text as Output in either CSV, XML, or direct export into my ODBC databases. So you could use it as ‘black box’ server based component.

I have a sample project for bank statements somewhere, so please let me know if you would like to see it yourself live.

SOURCE: OCR & Data Capture consultants with 11 years experience.

August 30, 2011 - OCR-IT LLC, a fast-growing document conversion and image processing company, today announced public availability of its newest cloud-based OCR Web API, code-named “OCR Cloud 2.0”. The platform ties together high-quality Optical Character Recognition (OCR) technologies from several leading manufacturers through a powerful HTTP POST API. The API allows developers with various backgrounds and working environments to access powerful image and picture cleanup tools and text recognition algorithms. Optical character recognition supports over 50 Latin and Cyrillic languages, provides enhanced control over text extraction and supports a wide selection of output formats.

“As today’s mobile cameras, such as in iPhone 4 and soon to be released iPhone 5, as well as Android-based phones and tablets, continue to increase picture quality, smart developers are looking for new and creative ways to combine these data-gathering resources together with this Web OCR API to create applications that excite end users,” said principals at OCR-IT. “By offering this advanced OCR API, OCR Cloud 2.0 offers developers a chance to create applications that have low costs in development and usage but can lead in innovation.”

Historically, high quality OCR has been developed for Windows platform, while other popular operating systems such as Mac OS and Linux, and mobile platforms such as iOS and Android, are left with inferior OCR technologies. OCR-IT OCR Cloud 2.0 erases these boundaries with high-quality Optical Character Recognition and accurate text extraction from any Web-enabled platform, making it truly OS-independent. Now, every developer can utilize this feature-rich powerful productivity technology to create a variety of never-seen-before applications.

The initial release of OCR Cloud was developed over two years ago by WiseTREND (http://www.wisetrend.com), a leading integrator and custom development firm for advanced OCR and data capture solutions. The API has been adopted by thousands of developers worldwide. Developers serving various industries have reported hundreds of successful implementations including internal corporate projects, the development of e-discovery processes and the creation of mobile applications, as well as for the addition of OCR support on operating systems that have no native support for OCR capabilities.

“OCR-IT LLC takes over OCR Cloud 2.0 with the creation of the second generation of capabilities,” said OCR-IT representative. “With the continued participation of the WiseTREND team, we will continue full-force development of this API so that it will fulfill its promise as one of the most powerful cloud-based OCR platforms in the marketplace today.”

Developers can sign up for a FREE development account and start integration into their applications immediately. With a few lines of code, programmers can start processing images form any Web-enabled computer or mobile device. Full documentation and comprehensive code samples in different programming languages are provided. For more information and additional documentation, visit: http://www.ocr-it.com/ocr-cloud-2-0-api

About WiseTREND (the developer and lead partner in OCR Cloud 2.0 API initiative)
WiseTREND, a power-integrator of OCR, document recognition, form processing and data capture technologies and solutions, works with a variety of organizations to successfully utilize the most powerful technologies of today and create competitive technologies of tomorrow. The company helps to solve business challenges through state-of-the-art document processing solutions, techniques, efficiency, and innovation. For additional company and product information, please visit: http://www.wisetrend.com