How Can AI Assist PDF Accessibility?
#artificialintelligence (AI) has been one of the most captivating and widely discussed technologies of the current decade, owing to its ability to mimic human intelligence. State-of-the-art #ai services provide developing machines that can perceive and respond like humans. Even though document #accessibility is currently mandatory in the public sector, additional progress is still necessary. The private sector faces a situation where companies provide millions of non-accessible #pdf and use them in business communication.?
Accessibility? It's All About Tags
Individuals with visual impairments use technology such as #screenreader to navigate and read PDFs. However, this kind of technology requires additional information about the PDF's logical structure presented in an understandable format. These logical structures can be added to a PDF using Tags. However, manually adding #tags to the PDF is a difficult process that demands expertise, awareness, time, and costs.?
Automation of PDF Solutions Using Machine Learning
A PDF data extraction is a difficult time-consuming and error-prone process, especially when dealing with large volumes of documents. Artificial intelligence (AI) also makes impressive progress in this topic, enabling the #automation of #dataextraction through #machinelearning #algorithms.?
An important contributor to this topic is the power of #naturallanguageprocessing (NLP), which creates understanding by bridging the gap between human language and #machine processing. Through the use of algorithms, NLP allows machines to analyze and interpret human language, which would otherwise be pretty difficult to understand.
Hence, in this time-sensitive situation resulting in possible legal action, organizations may turn to artificial intelligence to speed up this whole process. Artificial intelligence could be a viable solution in making documents #accessible as machine learning algorithms are very good at recognizing certain patterns. The AI can identify structural components of text such as headings, subheadings, paragraphs, lists, and tables.?
Use of External AI Modules
Suppose you own a solution for #table extraction, #image alternative text description, reading order detection, or math formulas recognition. Our PDFix SDK provides smooth integration with external document #layout #recognition AI modules as well as smoothly converts obtained data back into PDF format to generate accessible PDFs.
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Overall, converting extracted data back to a PDF is highly beneficial. It helps to improve document accessibility, integrity, and usefulness, making it easier to collaborate and share information with others. Eventually, it results in a more accessible and machine-readable document. One can then use it for a wide range of applications.?
PDFix SDK Tags #api
It is important to mention PDFix SDK provides a quick and easy way to convert extracted data back to PDF in the form of tags. It allows you to create an entirely new structure or edit?existing document tags.
PDFix GitHub
Explore our #github platform where we consistently deliver top-quality content and a collection of model #code samples. We delightedly share here all our open-source codes for PDF-related tasks.
Have a look at a few examples that use open-source AI models for #python :
Thank you for your interest in our article. If you have any questions or comments, please do not hesitate to?contact us.
About Us.
With over 25 years of experience working with PDFs, we at PDFix believe that the content inside a PDF should be accessible to everyone and not seen to be locked away. Our recognition algorithms can convert any PDF into a logically structured document and improve PDF readability, usability, and accessibility. We develop document solution tools for professionals and businesses of all sizes. To find out more, see our product range.
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