BeyondRedaction in ReadySuite works by reading the word dictionary created by BeyondRecognition’
“This new redaction feature in ReadySuite will save users hours of manual redaction time and will increase the accuracy of redactions,”
Users can expect to process documents at a rate of 150,000 pages per hour in TIFF format, and 30,000 pages per hour for PDF documents. The text elements associated with the image redactions are also removed either from the associated text file (in TIFF) or from the text layer of the PDF document. This methodology assures the user that no redacted information can “leak” out and completely obviates the need to re-OCR redacted documents.
ReadySuite, developed by Compiled Services, is a bundled suite of specialized litigation software for handling various document related tasks. Included in the suite are modules for reviewing, validating, merging, and manipulating load files, converting among multiple image formats such as TIF and PDF, applying or removing endorsements from image sets, generating searchable text and PDF files using OCR, and batch printing image sets to high capacity printers.
About Compiled Services
Since 2008, Compiled Services has created specialized software tools to aid in meeting tight litigation deadlines while adhering to strict quality standards. ReadySuite, the bundled suite of these tools, gives tech-savvy e-discovery experts the ability to perform a number of quality control, load file manipulation and image processing steps to data involved in litigation or regulatory matters. More information can be found at http://www.compiledservices.com. They can be followed on Twitter @CompiledSrvcs or on Facebook at www.facebook.com/
BeyondRecognition has developed unique character, word, and document attribute recognition and extraction capabilities for analyzing image-based documents. Its glyph clustering and cataloging approach enables rapid, globally-editable text recognition with accuracy rates far beyond traditional OCR. BeyondRecognition also clusters documents based on visual similarity and permits location-based, cluster-specific data element extraction for coding or abstracting data elements from the documents. Clustering by document type permits prioritized data element extraction using the powerful graphical user interface to highlight zones, and to write and instantly test and verify extraction rules.
Although nominally a “startup,”
Director of Product Development