AltTextLab

AltTextLab writes WCAG-compliant alt text for images at scale, reading page and product context rather than just pixels. Bulk processing, custom SEO keywords, brand voice styles and 130+ languages, with native plugins for WordPress, Shopify, Webflow, Magento and more.

AltTextLab is an AI alt text generator focused on one narrow job: producing accurate, accessible, search-friendly descriptions for images at scale. Instead of captioning pixels in isolation, the tool reads each image in the context of the surrounding page or product record, picking up embedded text, objects and visual detail, then writes a description intended to satisfy screen readers and image search at the same time. The pitch is straightforward: WCAG-compliant alt text without a human writing every line. The workflow is built for volume. Users drop images into the web app (PNG, JPG, WebP, AVIF and SVG up to 17MB) or connect a site through a native integration, and the tool processes whole media libraries, CMS collections or product catalogs in a single run. Custom SEO keywords can be supplied and woven into each description, target length is configurable, and a writing style setting keeps output aligned with brand voice. E-commerce mode pulls product names, colors and materials into descriptions rather than describing the photograph alone. Output lands in 130+ languages, and descriptions can be copied out or pushed back into the CMS automatically. The audience spans solo creators who want a right-click browser extension, agencies managing many client sites from one pooled account, e-commerce teams with large Shopify, WooCommerce, Craft Commerce or Magento catalogs, and enterprises that need spend caps, a DPA and the assurance that images are processed and discarded rather than used for model training. Nonprofits and schools use it mainly to clear historical image backlogs. Compared with generic vision models or WordPress plugins that only caption a single upload, AltTextLab's differentiators are the context-aware descriptions, the breadth of CMS and no-code integrations, and the bulk processing model. The trade-off is that it is a single-purpose tool: it does not offer broader image optimization, and the free monthly credit allowance of 25 images is small enough that most real libraries will need a paid plan quickly.