User Scenario: Process digital camera pictures and OCR to extract specific numbers

In this specific project asked by one of our users, we would like to provide analysis and suggestions how to process photos of marathon runners and OCR and extract text data from these pictures. This article will describe the fully automated OCR Cloud 2.0 API approach and automated tools for developers to be used without human intervention in processing of these images. If you are interested in semi-automated process including human verification options, please contact us separately. In this project, there are several parts we will discuss separately, but overall we believe it is possible to achieve good recognition result on most good images. This project can be considered medium-to-hard complexity project, due to multiple factors, technology limitations, and multiple decision steps in approach. We will test several images from the same category to illustrate how OCR works internally, what limitations exist in these specific images, and what we can do to optimize output quality. First, we will test one random image and describe every step happening to that specific image in background processes.  These same processes will happen on each image processed. The original color photograph looks like this: NOTE : It should be noted that original photographs have high resolution, and are large files around 3 MB in file size. Only for this visual explanation and illustration purposes images (above and below) were decreased in size. For simplicity of explanation, and to further explain how OCR engines operate internally, let’s review the binarized image next. Binarization – the process of converting every pixel in the photo to either black or white, which effectively converts the photo into...

Newsletter: New Releases and Upcoming Events (2012-10-03)

OCR Cloud 2.0 News New Releases and Upcoming Events Announcements Over the past many months OCR-IT Development Team has been working hard to create a new and exciting set of features and capabilities.  This is our biggest revision and addition of features since the launch of the OCR Cloud several years ago. Did you know? This high-quality OCR platform has been one of the first APIs available on the market for wide development use, delivering OCR without any startup costs.  Easy, inexpensive, good. Did you know? Early versions of this OCR system were in production even before the world new of Amazon Elastic Cloud (EC2) or what cloud architecture could do.  This is one of most mature platforms on the market today. Over the period of next several weeks we will be releasing and announcing new features, some of which will include: New News & Updates system (you are reading the first letter – this letter) New security and management protocols New subscription and management portal Improvements in speed of text recognition Profiles – fine-tuned processing scenarios OCR-IT Cloud Data Capture (TM) – revolutionary methods for extracting standardized data Addition of handwriting support Addition of new languages …many more… If you have experienced some slowdown in recent weeks, we apologize for any inconveniences.  It was necessary to update parts of our system.  Please be assured that reliability and responsiveness are among our top priorities. We are eager to announce some new features as soon as with next few days. Your OCR-IT Team About OCR-IT LLC OCR-IT LLC is an expert in OCR, document recognition, forms processing and data capture...

OCR-IT Demonstrates Power of Mobile OCR with Free Demo Android App with Full Source Code for Developers to Add OCR Capabilities

OCR-IT Demo Android App and Source Code for Android OS by the host of OCR Cloud 2.0 API lets developers add the capability to process mobile images and create usable text documents to their Android apps.  This sample app demonstrates how easily optical character recognition (OCR) can be implemented for Android OS applications and spur developers to make the leap to adding OCR to newly created applications for that platform. 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...

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....