Today’s #WeekOfScreenReader is an opinion piece on screen readers and their relationship with image recognition:

Thoughts on screen readers and image recognition

• Léonie Watson talks about image alt text and the fact that over 30% of homepage images are missing text descriptions. An additional 10% had useless alt text such as “image” or “blank”.
• Screen readers have Optical Character Recognition (OCR) support, which can examine a graphic and convert it to text. I hadn’t heard of this as a feature of screen readers, but a quick search shows there’s an OCR add-on for NVDA.
• Some screen readers – such as VoiceOver on iOS – now have image recognition capabilities too. I talked about this in dai11y 22/12/2020: iOS 14 can recognise icons and buttons even if they’re not marked up as such.
• Léonie tested the Picture Smart feature in JAWS on an image of the Mona Lisa. It identified that it contained a “drawing, human face, painting, person, sketch and woman”, and that it “probably” contained “art, portrait and text”. This is a good result compared to its analysis of a more obscure image, which was far less descriptive.
• She concludes: “image recognition in screen readers is a massive improvement over the absence of anything better, but it isn’t better than a text description provided by a content author who knows exactly what’s in the image, why its being used and the context its being used in.”

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