FineReader Engine 12 for Mac - Download Overview

Latest Release

  • FineReader Engine 12 for Mac - Release 4 (incl. update 1) Released on 07 January 2020
    • Part #:1377/3
    • Build #: 12.4.7.981

Download the latest release:
FineReader Engine 12 for Mac
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Free download of the latest distributive is available for ABBYY customers with a valid Software Maintenance Agreement.
Please contact your Account Manager for login information.

New Features and Improvements

  • New input formats: Office documents
    • A new set of input formats was added to ABBYY FineReader Engine. In addition to image formats, the ABBYY FineReader Engine can now as well open and process the most common Office documents such as text documents, spreadsheets, and presentations:
      • Text documents: doc, docx, rtf, htm / html, txt, odt
      • Spreadsheets: xls, xlsx, ods
      • Presentations: ppt, pptx, odp

This new support of different types of input documents - scanned paper documents, different types of PDF, and digitally-born documents in Office formats - allows processing documents from multiple channels in a single flow.

  • Added: Intelligent Character Recognition Technology (ICR)
    • The high-quality technology for recognition of hand-printed text (ICR) allows extracting information entered per hand in individual fields on application, questionnaires and other documents.
  • Added: Optical Mark Recognition Technology (OMR)
    • The advanced technology for recognition of optical marks allows extracting information about selected fields on surveys, questionnaires or multiple choice exam sheets.
  • New: Ability to extract information from MRZ in ID documents
    • Machine-readable zones (MRZ) are used in ID documents to encode personal information. With the ability to extract information from the machine-readable zone, FineReader Engine can be used in ID verification systems that are often used by government organizations as well as in solutions for customer onboarding used by employees of hotels, car rental companies, banks or insurance firms who need to quickly enter and verify their clients' personal data.
    • The personal information in machine-readable zone in ID documents is encoded as 2 or 3 lines of text according to specification of the ICAO Document 9303.
  • New: 'Compare Documents' Module
    • The new 'Compare Documents' Module in ABBYY FineReader Engine provides your software with the ability to quickly and accurately compare two versions of the same document and detect possible differences in their content – for example to compare the originally created contract and its printed and signed version and automatically verify the document’s integrity >
    • The technology can analyze documents in different formats, i.e. Microsoft Word, PDF, JPEG, TIF and other document or image formats and can provide significant value to any document processing solution, especially to applications for the legal, government and business sector.
    • The detection of changes in documents that contain text areas on pages as well text areas within tables was improved.
    • To simplify own development, the extensive code samples library was extended by a new sample that allows testing and demonstrating the ability to compare two versions of the same document and detect differences in their content.

  • New OCR languages:
    • Georgian OCR: The Georgian language was added as a new OCR language
    • OCR for Simple Mathematical Formulas: ABBYY FineReader Engine now allows extracting characters of simple mathematical formulas. With the new OCR language Simple Mathematical Formulas it is possible to process scientific documents containing simple single-line mathematical formulas inside the text.
  • Enhanced OCR languages - with the support of Artificial Intelligence algorithms. The newly trained Convolutional Neural Network for recognition of Asian languages, Recurrent Neural Network for Arabic, and a new Deep Learning Model for Korean provide following improvements:
    • Significantly faster recognition of Korean
    • Faster recognition of Chinese
    • Increased speed & accuracy in recognition of Japanese (Modern)
    • Significantly improved recognition on low quality images with Arabic
    • Significantly higher recognition accuracy for Korean OCR
  • Enhanced: Text-based classifier with advanced security of training data
  • To further increase the security and protection of information contained in training documents for the text-based classification, hashing algorithms were implemented. Using information from checksums eliminates the possibility to recover information from the sample documents.
  • Enhanced: Classification Demo Sample - now with Office format documents
    • To reflect the FineReader Engine’s capability of processing Office documents in the classification process, the provided Demo Sample for classification was enhanced and allows now to display Office documents in the classification results (in addition to PDFs and image formats). Furthermore, the newly added sample documents can be used to test the classification capabilities.
  • Ability to recognize documents with different text types
    • If documents contain text areas in different text types on one page, the correct text type will be detected and used. In the past, this functionality was only available in the Windows version and later added to the Linux version. With this step, the detection of individual text types on one page is as well available in the Mac version.
  • Improved: Document layout preservation
    • To improve the detection and recreation of document layout, a new 'single-column' document model was introduced that provides more exact detection and analysis of tables and charts and significantly improves the detection and recreation of document layout.
  • Enhanced: Java wrapper documentation
    • To simplify the usage of the API, the documentation of the ABBYY FineReader Engine 12 has been extended and the documentation for the Java wrapper is now provided in JavaDoc format in addition to the HTML and PDF formats.
  • Enhanced documentation
    • New article in product documentation describes how to deploy FineReader Engine in Docker containers.
    • EULA file is available in FineReader Engine files
  • Other improvements
    • Compatibility with latest Java releases allows leveraging modern development environments.
    • Ability to detect the build number of FineReader Engine before loading a java wrapper allows checking compatibility with host applications

IMPORTANT COMPATIBILITY INFORMATION

  • GetEngine function was deprecated in R2 ⇒ To load the Engine object, please use the InitializeEngine function. It provides the unified Engine loading procedure for all license types (including the Online License).
  • Customers who update their applications from previous releases or versions and use the GetEngine function would receive an error message if they keep using the GetEngine function. Please update your code and replace the GetEngine with the InitializeEngine function.

More details about individual features, fixed bugs, and the latest release distributive can be found on the download page.

Previous Releases

Release Release 3

This release was skipped

Release Release 2

ABBYY FineReader Engine 12 for Mac - Release 2 (20.08.2018)

  • Part#: 1377/1
  • Build#: 12.2.27.2064
  • Improved classification
    • Advanced classification algorithms leverage advanced machine learning and natural language processing technologies, offering improved document classification quality with flexible and fine-tuned options, new classification modes, and improved classification API.
  • New & improved OCR languages
    • IMPROVED: Japanese OCR accuracy - a new OCR language was added: Modern Japanese.
    • Farsi OCR - official support
    • Burmese OCR - technical preview
    • Japanese and Arabic documents: Enhanced recognition of dates, times, addresses and names when using new 'special predefined languages'
    • Improved recognition of right-to-left written languages: Two new properties help to detect the leftmost and the rightmost character in the word and to correctly designate the first and the last letters of the word during recognition and parsing.
  • Improved layout reconstruction
    • IMPROVED: Tables and layout reconstruction
    • Detection and recreation of balanced text columns
    • Dashed table borders on export to DOCX
    • Recreating cell borders color during the export to XLSX
    • Improved layout retention on TXT export
  • New PDF/A saving options
    • PDF/A-2b and PDF/A-3b - new options for PDF/A-2 and for PDF/A-3 are supported for the level B conformance
  • New export formats
    • Export in accordance with the latest PDF 2.0 standard as well as the PDF/UA standard support,
    • new export format: HTML 5.
  • New way to save documents
    • Possibility to store images in memory
  • New XML saving options and improvements
    • ALTO 3.1 - New export format
    • Faster export to XML, when saving information about character coordinates prior to image deskewing
    • Direct export of list elements to XML
  • Other features and improvements
    • New entity: Customer Project-ID decreases the numbers of errors during Engine object initialization.
    • New HTML-based Help file
    • 256-bit AES encryption with the possibility to use Unicode characters during PDF encryption
    • Accessing information about individual recognition variants

Release Release 1

This release was skipped

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