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Depending on who you ask, AI can be captivating, terrifying, or a combination of both. But Adobe’s accessibility-focused artificial intelligence is a use case that any reasonable person can take advantage of (I hope so). Their new Auto-Tag API takes the hassle out of creating accessible PDFs for people with disabilities.
PDF contains metadata that provides structural information (headings, paragraphs, lists, tables) within the document for assistive technologies such as screen readers. However, tagging digital documents to make them compatible can be time-consuming, especially for companies with documents with complex layouts or backlogs of old files that lack proper metadata. there is. Adobe estimates that over 90% of PDFs are at least partially inaccessible to people with disabilities, sometimes “appearing as blank, blurry, or distorted lines of text.”
Adobe’s PDF Accessibility Auto-Tag API automates the tagging process. According to the company, Sensei-powered software shows correct reading order for assistive technologies, saves companies time, and more importantly makes PDFs easier to read for people with disabilities. Adobe says AI can quickly process stockpiles of old documents that lack proper structure.
The company will also release a PDF accessibility checker that “allows organizations to quickly and easily assess the accessibility of existing PDFs at scale.”
In addition to the developer API, Auto-Tag is coming to Acrobat Pro in June, providing all subscribers with automatic metadata structuring within their apps at no additional cost. This feature will also be coming to Acrobat Reader this fall.