Introducing AI-Powered Smart Detection Tools
LAKEWOOD, OHIO, June 12, 2019- Equidox by Onix, the premier PDF remediation software developer, has added Smart Detection Tools to its robust PDF remediation software. Equidox is a step closer to PDF remediation automation using these new artificial intelligence-powered tools to identify page elements.
Pat Needles, Executive Director of Sales, says, “Remediation to achieve compliance will continue to be needed as long as organizations are using PDFs. Our goal is to make that remediation as fast and easy as possible. Human intervention will always be needed, but Equidox continues to add automation to our product – we want to streamline the process to save organizations time and money.”
The artificial intelligence-powered Table Detector detects table rows and columns using a proprietary machine learning model. According to Equidox’s data scientist, David Freelan, “The new detector uses ten new settings: five for columns and five for rows. Each uses a different detection functionality to place row and column delineators in order to tag the individual cells of the table. These work independently, so are useful for a wide variety of table formats. Some detect existing lines, some detect text, some detect spacing. By choosing one setting from the options for rows, and one setting from the options for columns, the machine learning detection process can more accurately pinpoint how to tag the content into cells.” A table summary is automatically populated with the number of headings, merged cells, spanned rows, and columns. Finally, an HTML preview shows the completed table so users can verify they’ve correctly tagged various elements of the table.
The new smart List Detector is just as easy, even for complex nested lists. Create and label a zone as a list, then adjust the List Detector to one of five unique settings until all list items are identified and nested correctly. The List Detector automatically detects all items: no need to interact with complicated tag trees involving layers of list items and list bodies. The HTML preview screen shows the list correctly tagged to ensure accuracy.
The List and Table Detectors join the existing Zone Detector as part of the Smart Detection Tools that define the exclusive, proprietary Equidox Software for PDF remediation automation. Like the List and Table Detectors, the Zone Detector can be adjusted to correctly identify the various elements on a PDF, including headings, tables, lists, paragraphs, images, graphics, and links.
Says David Freelan, “Our goal is to continue to reduce the amount of time remediators spend tagging document elements. As our machine learning technology improves, we hope it will be able to take that final step to use artificial intelligence for near-total PDF remediation automation.”
Equidox is the flagship digital accessibility division of Onix Networking. EquidoxTM software is a web-based PDF remediation tool that uses smart detection tools to convert inaccessible PDF documents into WCAG 2.0 AA-compliant HTML and accessible PDF and EPUB 2 content. Equidox also offers professional document remediation services and accessibility testing, training, and consulting services.
in Lakewood, Ohio, near Cleveland, Equidox also has a Canadian office in Toronto.
See the Smart Tools in action in these videos:
Smart List Detector Video
Smart Table Detector Video
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Nina comes to Equidox with years of sales and marketing experience from a variety of industries and holds a BS in Language Arts Education. Nina has a passion for words, storytelling, and information, which she believes everyone should have access to regardless of ability. After spending time as a teacher with a blind student, she became much more aware of the limitations and abilities of web accessibility, and how essential it is to those experiencing disabilities. “Being able to access information equally ensures that everyone has an equal opportunity for education, employment, and success in life.”