ScanThing Chooses OCR-IT Cloud-Based OCR API Platform to Conquer Mobile Scanning and OCR in New Mobile Productivity App for Android Smart Phones and Tablets

OCR-IT LLC, a fast-growing document conversion and online image recognition company, today announced that its cloud-based OCR Web API, code-named “OCR Cloud 2.0”, has been selected by ScanThing to enable mobile OCR in this mobile productivity application for the Android platform. 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...

Free New Apple IPad 3 for the first OCR App For IPad

New contest: Free iPad 3 (The New iPad) will be provided to the first person or company to launch their App on Apple App Store.  To qualify, the App needs to achieve the following: 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....

OCR for bank statements

I need to be able to OCR bank statements, including getting all the numbers and description in a form that can be processed.  How did you cope with the fact that every bank any a different layout? 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...

OCR-IT Announces a Powerful Cloud-Based OCR API for Ad-Hoc Integrators and Mobile Developers

This press release has been published on August 29, 2011 here: http://www.i-newswire.com/ocr-it-delivers-a-powerful-cloud/126874 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....