Enterprise Alt Text at Scale
Your alt text is only as smart as the data connected to it. Generic AI describes pixels without understanding intent, leaving your teams spending hours cleaning up low-quality drafts. Scribely wires your existing systems into a custom, agentic workflow, eliminating manual rewrites and leaving you with a responsible, scalable SOP your organization owns.
Image Description
An abstract design of eight futuristic 3D structures representing math, science, space, and sound arranged in a circle. They are linked by 2D and 3D lines that form a spherical pattern.
Image Description
A sleek retail display featuring rows of trendy shoes on a multi-tiered white platform, set against a modern backdrop of high ceilings and vertical wood paneling.
Built for organizations where volume demands an owned standard
When your catalog runs into thousands of images, pointing an off-the-shelf vision model at them creates a massive backlog of manual edits. Nearly 4 of every 10 hours saved with raw AI get lost to fixing thin, formulaic drafts. We built the Scribely Context Engine as a helpful resource and proof of concept to demonstrate why: general-purpose tools describe raw pixels, but they cannot see why an image exists or what purpose it serves. Our enterprise solutions take that lesson and turn it into a custom, repeatable operating procedure tailored to your infrastructure.
Industries We Serve:
- E-commerce product catalogs: High-volume product libraries where descriptions must connect to PIM specs, brand voice, and SEO intent.
- GLAM collections: Galleries, libraries, archives, and museums where curation, provenance, and historical accuracy require deep data integration.
- Media & publishing: Fast-moving visual libraries where editorial intent, image hierarchy, and accessibility standards must align seamlessly.
How it works
We do not offer a generic black box or push 100% unchecked AI. We partner with your team to establish a responsible operating procedure that your organization controls.
Audit & Analyze
We assess your image catalog, platform architecture, and where your metadata lives. We categorize your assets by image type, from detail shots and flat lays to archival records, identifying the exact data needed to describe each one accurately.
Define & Develop
We build a custom context layer by ingesting your brand guidelines, product taxonomy, and page-level intent. We develop tailored style guides so the model adheres to your editorial standards rather than generic defaults.
Implement & Execute
Using governed agentic workflows, descriptions are generated, verified against your standards, and delivered directly to your CMS, PIM, or digital asset manager, leaving your team with an owned SOP rather than an ongoing rewrite burden.
What's included
Every enterprise engagement delivers a customized description pipeline integrated directly into your existing tech stack.
Context engineering
Every description is informed by your brand guidelines, page context, and product data, not just the pixels in the image.
Agentic AI processing
Scribely's AI works as a team of specialized agents, each handling a different layer of context to produce descriptions that reflect your brand voice and product knowledge.
Human quality review
AI handles the heavy lifting. Accessibility experts review and refine the output so your team only needs to take descriptions of the final mile.
Platform-ready delivery
Descriptions structured and formatted for direct integration with your e-commerce platform, CMS, or product information system.
Style Guide Development
A tailored framework defining how to describe your specific image types across different contextual experiences, backed by gold-standard examples.
Scalable production
Built to handle catalogs of any size, from thousands to millions of images, with consistent quality as your content grows.
Your images are structured, searchable intelligence
The way people find and buy products is changing. AI shopping assistants, multimodal search engines, and answer engines rely heavily on image metadata to understand, surface, and recommend your content. These engines do not browse visually—they read your data.
In our 2024 study of the top 45 US e-commerce brands, 98% of product pages had missing or low-quality alt text, and 91% relied on formulaic, programmatic defaults like “Image 1, Image 2.” That leaves screen reader users with almost no information and blinds search engines to what you actually offer.
Quality alt text transforms your visual catalog from passive pixels into structured data. By investing in context-engineered descriptions, you fix compliance at scale while positioning your digital assets for the next era of discovery.
Image Description
A photo of stacked fedora hats in a shop window is shown with callout labels pointing to key visual details: "White, Orange, Red, Brown, Blue" for the colors, "Velvet" for the material, "Fedora" for the hat style, and "Flat-brimmed" for the brim type. Above the photo, a sample alt text reads: "Stack of five, flat-brimmed Fedora hats sitting in the window of a designer shop. The hats are velvet and come in six distinct colors, including white, orange, red, brown, and blue."
Ready to explore what's possible at scale?
Scribely is partnering with forward-thinking organizations to prove what agentic AI can do for image accessibility. If you are managing a high-volume image catalog, let's talk.
Tell us about your goals