A developer sits at their desk, staring at a spreadsheet of 847 images that need alt text descriptions, and realizes they’ve made a terrible life choice.
That spreadsheet represents a real problem. Web accessibility isn’t some nice-to-have checkbox anymore — it’s become a legal minefield. ADA lawsuits over inaccessible websites hit record numbers in 2025, and if your site’s images lack proper alt text, you’re basically advertising to the plaintiff’s bar. But here’s the thing: manually writing WCAG 2.1 compliant alt text for hundreds or thousands of images is soul-crushing work. So someone built an API to do it. One call. One response. Done.
The API is called Origrid Alt Text, and it’s refreshingly straightforward — which is almost shocking in a space that usually overcomplicates everything.
How It Actually Works
You send an image URL. The API sends back alt text that meets WCAG 2.1 Success Criterion 1.1.1. That’s it. No model training. No image uploading. No weird delays.
“Send an image URL, get WCAG 2.1 compliant alt text back” — that’s the entire pitch, and it delivers.
The response includes three things: the alt text itself, its character length, and a boolean flag telling you whether it passes WCAG compliance. “Golden sunset over sandy beach with turquoise waters and palm tree silhouettes.” “Two teal coffee cups on saucers and a smartphone on a rustic wooden table in a cafe.” “A black labrador puppy sits on a wooden floor, looking up with big dark eyes.”
All under 125 characters. All descriptive. All designed for screen readers, not Instagram captions.
Why This Matters More Than You Think
Look, most developers know in theory that alt text matters. But the gap between knowing something and actually implementing it? That’s where 87% of websites live. Alt text gets written last, rushed, or never at all. Screen readers announce thousands of useless descriptions like “image_47284.jpg” or — worse — nothing at all.
Meanwhile, the legal landscape shifted hard. Web accessibility claims are up 1,300% since 2017. Restaurants, fashion brands, nonprofits — doesn’t matter. If you’re running a website without proper accessibility, there’s a plaintiff’s attorney somewhere treating it like low-hanging fruit.
Automation fixes this. Not perfectly — no AI-generated alt text will be as good as thoughtful human writing — but perfectly enough. And that’s the move: taking a task that’s tedious, error-prone, and legally risky, and replacing it with something reliable.
Is This Better Than Just Using ChatGPT?
People ask this constantly. And the honest answer? Yes, but also kind of no, depending on your setup.
ChatGPT doesn’t enforce character limits without prompt-engineering gymnastics. You’d have to validate output yourself. The API isn’t designed for single-purpose, high-volume tasks — you’d be paying GPT-4 vision rates to describe 10,000 images, which gets expensive fast. There’s no wcag_compliant flag telling you what actually passes spec. You’d build that validation yourself. Or you’d just… hope.
Origrid Alt Text is a purpose-built endpoint. One call. Validated output. Cheap (free tier covers 50 images/month). That’s the entire advantage: specialization. It’s boring infrastructure, which is exactly what you want infrastructure to be.
The Automation Path
If you’ve got a site with hundreds of images already live, the real win is bulk processing. The original post shows a quick Python example: scrape all images from a page, identify ones missing alt text, send them to the API, write the descriptions back. Fifteen minutes of scripting saves weeks of manual work.
For CMS users — WordPress, Contentful, whatever — the play is integration at the source. New image upload? Alt text auto-generated on ingest. Saves you thinking about it later, which is when nobody does it.
The API sits on RapidAPI, which means it’s accessible to pretty much any stack. No weird dependencies. No infrastructure to maintain. Ship it.
The Uncomfortable Truth
Here’s what nobody wants to say out loud: most sites have bad or missing alt text because good alt text requires actual thought. Describing what’s important in an image — not just what’s visible — takes cognitive work. An AI can approximate that work now. Not perfectly. But well enough to keep you out of court.
Is that cynical? Sure. Is it also how real businesses operate? Also sure.
The API doesn’t solve the problem of poorly designed images or nonsensical visual hierarchies. It doesn’t make your site accessible — that requires work everywhere, from keyboard navigation to color contrast to form labels. But it does solve the specific, stubborn, annoying problem of undescribed images at scale.
What’s the Catch?
There isn’t one. At least, not an obvious one. The free tier is real (50 images/month). Paid pricing is on RapidAPI’s standard structure. The API is fast. The output quality is good. It does what it says it does.
The only trade-off is that AI-generated alt text will never have the nuance of human writing. An AI might describe a political protest photo as “crowd of people holding signs” when the actual context — the stakes, the moment, the specific cause — matters. For most e-commerce and content sites, that’s fine. For anything editorially sensitive, you’d want human eyes.
But most sites don’t have editorially sensitive images. They have product photos, hero images, team headshots. The things that are safe to automate.
Why Now?
ADA enforcement is picking up speed. Vision models are good enough. The gap between “annoying manual task” and “solvable automation problem” finally closed. Someone saw that gap and built something useful instead of overselling vaporware. That’s rare enough to notice.
If your site has hundreds of images and no alt text, this saves you from a combination of ethical problem and legal exposure. If you’re building something new, integrating this into your upload pipeline is just smarter than hoping developers remember to write descriptions later.
They won’t. This solves that.
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Frequently Asked Questions
Can I use this for images I don’t own? Yes. The API works on any URL. That said, use common sense — don’t feed it licensed content without permission. The alt text itself is fine to use; the image isn’t.
How accurate is the alt text compared to manually written descriptions? For straightforward images (products, landscapes, people), it’s solid. For complex, contextual images, human writing is better. But 90% of your site isn’t complex. For the rest, this works.
Does this replace a full accessibility audit? No. Alt text is one part of web accessibility. You still need proper heading structure, keyboard navigation, form labels, color contrast, and more. This just fixes one major problem at scale.
