Fwd: JAWS latest updates uses some post source

Jason shares the following:


An Example of post-source in a product:

the recent features announced by JAWS (the screen reader) represent
improvements in how the screen reader handles web content, including
leveraging “post-source”  to improve structured content (tables, ARIA
roles, web controls, etc.).


Here’s roughly how those improvements apply — and why they’re meaningful:


✅ What’s improved in JAWS lately (web & structure support)



   - JAWS 2026 (and recent 2025 updates) introduced an integrated AI-driven
   tool, FSCompanion, and a feature called AI Labeler / Page Explorer, which
   helps by generating meaningful labels and a structural summary of web
   pages. That helps when elements (buttons, links, form fields) lack proper
   HTML labels — making navigation more reliable.
   - JAWS now reads ARIA attributes, table headers, form controls, and list
   structures more reliably. For example: column headers in ARIA grids, proper
   announcement of table cells in relation to their headers, improved handling
   of radio-button groups, checkboxes, combo boxes, and “separator” elements.
   - For Braille users (refreshable Braille displays), JAWS now supports
   multi-line Braille output — meaning users can view multiple lines at once,
   which preserves layout, paragraphs, tables, columns instead of forcing
   constant panning line-by-line. This is especially helpful for structured
   content (e.g. tables on a web page, or formatted docs).




🎯 Why that matters for “post-source / structural content”



By “post-source,” we mean not just raw text scraping, but understanding the
structure of a page: headings, tables, interactive controls, layout,
semantics (ARIA labels), etc. The improvements listed above help JAWS more
accurately reflect what a sighted user perceives (page structure,
semantics, navigation cues), rather than just reading linear text. That
makes web content more accessible, meaningful, and navigable — closer to a
“real” representation of the page’s content and structure.



⚠️ But: Not everything is magically solved




   - Even with AI Labeler and Page Explorer, their effectiveness depends a
   lot on the underlying HTML/ARIA markup and how the page is built. Poorly
   coded or dynamically generated content might still give sub-optimal results.
   - For Braille: multi-line support depends on having a compatible Braille
   display (like supported ones from specific manufacturers), and correct
   firmware for those displays.
   - The “AI-assisted” features may help with unlabeled controls or images,
   but as with any automated approach — context, complexity, and consistency
   vary.





 the new features in JAWS represent  examples of  “post-source” support:
better semantics, layout, and structure on websites. They won’t make every
site fully accessible, but they significantly improve robustness and
usability for many typical web pages.