ABBYY FineReader is a single-package, powerful Optical Character Recognition (OCR) software that provides you with digital copies of documents that you can view, edit, and convert. Once you have a final product, it can easily be updated, revised, and shared. ABBYY FineReader Professional TRIAL ABBYY FineReader is a an intelligent OCR software for creating editable and searchable files from scanned paper documents, PDFs and digital photos. ABBYY FineReader 10 gives you the power to unlock data in documents. ABBYY FineReader Standard & ABBYY FineReader Pro for Mac are comprehensive OCR and PDF applications that will bolster the efficiency of your business processes. ABBYY FineReader® Pro for Mac turns scans, PDFs and digital photographs into editable formats including Apple® Pages®, Numbers®, OpenOffice.org™ Writer Document (ODT), Microsoft Office (DOCX), PDF and e-book formats.
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What is OCR? OCR stands for Optical Character Recognition. This is the electronic identification and digital encoding of typed or printed text by means of an optical scanner or a specialized software. Performing OCR allows computers to read static images of text to convert them to readable, editable, and searchable data on a page. There are many applications of OCR including the creation of more accessible documents for the blind and visually-impaired, text/data mining projects, textual comparisons, and large-scale digitization projects.
There are a different software options to consider when you are performing OCR on you documents and it can be challenging to understand which one is best for you. So let’s break it down.
Unfortunately, a human decision is required. But don’t worry, there is no wrong software to use!
When deciding which OCR software to use you should first think of what the outcome of your project should be. Here are a few questions to ask yourself before you get started:
- What do I want my output to be?
- What type of file do I need and how will it be used?
- Is precision and accuracy a priority?
- Are there standards for your project/repository?
Answering these questions will help you determine which software will be best for your project.
Let’s now look at some software!
I will be speaking on the two most popular software, ABBYY FineReader and Adobe Acrobat Pro.
ABBYY is seen as the more advanced option. If precision is a necessity, ABBYY is a good tool for you. While it does not have 100% accuracy, this software includes lots of editing options to help fix any mistakes. ABBYY links well to text analysis programs such as ATLAS.ti and Nvivo. ABBYY can analyze documents from documents/images scanned straight into the program or from already existing images/PDF files.
– Can process documents for over 190 languages
– Text/Image are displayed side-by-side in separate boxes to display/fix “uncertain” items
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– Uncertain items are highlighted
– Can identify structural components of documents, such as images or tables
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– “Training Mode” to recognize decorative or special fonts or symbols
Abobe Acrobat Pro
More people are usually already familiar with Adobe interfaces, therefore making the learning process much easier than with ABBYY. You are more likely to see Adobe used outside of an academic setting and can be best used when you just need to make a PDF searchable. Adobe can analyze documents from documents/images scanned straight into the program or from already existing images/PDF files.
-Connects with Adobe suite and document editing tools
-Can identify multiple languages
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-Easy to use interface
-Converts documents of almost any type into tagged PDFs
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While neither of these software are free, both are available for your use in the Scholarly Commons!
Once you choose which software is best for your project, you can have your documents read through OCR!
For more information on OCR, check out this guide on OCR Basics or attend a Savvy Researcher Workshop on “Making Searchable PDFs with OCR.”
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If you’re having trouble with your OCR, visit this previous post, “What To Do When OCR Software Doesn’t Seem To Be Working” or reach out to the Scholarly Commons directly at firstname.lastname@example.org.