Introducing the Scribely Context Engine for Alt Text

Scribely’s free Context Engine bridges standard AI and human insight to generate meaningful, context-aware alt text by pairing 2D page topology with 3D intent.

Caroline Desrosiers

Founder & CEO

October 1, 2026

5 minutes

Screenshot of the User Inputs screen of the Scribely Context Engine, featuring Seurat's "A Sunday on La Grande Jatte" to the right and three visual input questions to the left, such as "What stands out visually about this object?"

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Introduction

Most AI vision tools describe images in a vacuum, producing flat, performative descriptions that miss the crucial page context screen reader users need. Scribely is redefining accessibility with the Context Engine—a free tool designed to bridge automated 2D page extraction with off-screen 3D human intelligence. This article explores how synthesizing site layout with strategic human direction overcomes the "Context Trap," empowering digital teams to write rich, WCAG-compliant alt text that scales seamlessly without sacrificing quality or brand intent.

Context Engine for Alt Text Launch Blog

Hidden Barrier to Great Alt Text

As able bodied users, we see an image on a webpage and are able to discern key contextual elements that aid in our understanding of the image’s purpose and meaning within its specific environment. Surrounded by headings, text, and user interfaces, we subconsciously draw on a lot of context when looking at an image. 

But for visually impaired and disabled users who rely on alt text to describe the image, context in alt text often falls short. There are over 295 million people worldwide who have moderate to severe vision impairment which requires them to use assistive technology to access the internet. In the United States alone, there are over 4.4 million people who use screen readers. An image without context is a sentence torn from its paragraph — you’ll be able to hear the words, but not understand what they mean.

What is Context?

Context is multi-dimensional and comes from many places at once, changing by image type and image use cases. Context is gathered from two places: 2D context and 3D context.

  • 2D On-Screen Topology: Visible UI, surrounding copy, spatial location, and functional goals of the page.
  • 3D Off-Screen Truth: Unwritten brand intent, technical CAD specs, hidden features, and human emotional reactions.

This is a lot for writers to process when writing alt text. The overwhelming nature of gathering context and deciding on the most important information often leaves writers stuck, or worse, turning to AI for assistance. 

We call this The Context Trap: expecting writers to process 2D page layouts with 3D brand intent all under the umbrella of WCAG compliance — without a proper workflow to guide their writing. 

Why doesn't AI currently work for generating alt text? The issue with standard vision models of AI is its pixel isolation process: analyzing images in a vacuum without collecting and synthesizing research before describing an image. When prompted, they describe the image in isolation, leading to performative fluff instead of useful, high-value descriptions that include site strategy and brand intention.

This is why human directed writing is still pivotal in writing alt text. Until visual search and multimodal AI tools become more advanced, utilizing a Human-in-the-Loop (HITL) workflow which strategically combines AI's speed with essential human skill, is the best foot forward.

How the Scribely Context Awareness Tool Works

Enter Scribely’s Context Engine for Alt Text. Introducing the free, no-signup resource designed to bridge automated site scanning with human-directed creative intent. By researching the site for you first, we cut the clutter and pave a clear way forward with all the context you’ll need to write great alt text.

  1. Choose Your Pathway: Select your pathway (Launching with eCommerce Product and Museum Collection).
Alt text: Screenshot of the Pathway Selection page for Scribely's Context Engine for Alt Text. At the top, a question reads "What kind of page is this?" Below it are two available options that say, "eCommerce Product" and "Museum Collection," along with three pathways marked as coming soon, which read "News or Editorial Article," "Branded Landing Page," and "Social Meme or GIF."
  1. Scan & Extract (2D): Drop in a URL to automatically gather local, spatial, and macro details. Or, enter details manually if the site cannot be scraped.
Screenshot of the URL page for Scribely's Context Engine for Alt Text. At the top, a question reads "Where should the context come from?" Below it are two options. The recommended option, "Scan a web page," lets users paste in a URL, while "Enter details myself" lets users upload images manually and type in the context.
Screenshot of the Collection Page URL page for Scribely's Context Engine for Alt Text. Text at the top reads "Collection Page URL," with a field to paste the page to be analyzed. Below it are clickable examples, including "Nintendo - Game Console (Artifact)," "Penn - Barber, New York (Photograph)," and "Leutze - Washington Crossing the Delaware (Painting)." On the right is a box titled "How to find your Collection Page URL," offering tips for locating the artwork on a museum's website, including a reminder to make sure you're on the individual object's page and copy the full web address from the browser's top bar when pasting a URL.
  1. User Input (3D): Answer quick, human-guided questions to capture off-screen intent, customer reactions, and unspoken features. At this point, screen reader users can also ask questions about the visual information in the images. 
Screenshot of the User Input page for Scribely's Context Engine for Alt Text. Text at the top reads "A few questions," with a note underneath explaining that answers go straight into the Context Report, but all questions are optional and can be skipped if unsure. Below is a section titled "Visual inputs. Your perspective as a viewer brings essential human context to alt text," which includes the questions "What stands out visually about this object?", "How do these images PRESENT or DISPLAY the object?", and "How is it being framed, lit, or contextualized in the photos?" Underneath is a final section titled "Non-visual inputs. Tell us what you want described and Scribely will look for you," with one question, "What visual details are you most curious to learn about?" On the right is a section titled "Images from this page," which shows a preview of all the images from the linked URL, which is an image of "A Sunday Afternoon on La Grande Jatte" by Georges Seurat in this example.
  1. Context Analysis: The tool synthesizes available context with human insight 
Screenshot of the first page of the Context Report from Scribely's Context Engine for Alt Text. Text at the top reads "Context Report." Underneath is a navigation bar with sections including "Basic Details," "2D Context (On-Screen Data)," "3D Context (Off-Screen Intelligence)," "Images," and "Appendix and Other Details." The first section, "Basic Details," includes the artist, date, title, medium, dimensions, credit line, accession number, and current location. The second section, "2D Context (On-Screen Data)," starts with "Local Context," which offers options for sections like "At a Glance," "Subject," and "Need to Describe," which tells us to describe the monkey on a leash and the man carrying a rolled newspaper in the painting, including the reasons why.
  1. provided.

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  1. Download the Report: Receive a structured, production-ready “Context Report” to help you write accurate, context-aware alt text immediately.
Screenshot of the Download Report page from Scribely's Context Engine for Alt Text. Text at the top reads "Work with Scribely," with an orange button below that lets users download their report as an HTML, PDF, CSV, or ZIP file. The full report includes a spreadsheet of the images and their existing alt text.

How the Context Engine Incorporates 2D Surface vs. 3D Human Intelligence

At Scribely, we believe that 3D Human Intelligence is just as important as 2D Surface Context. Our purpose with the Context Engine is to educate and provide research for human-guided intelligence: bridging the intent gap between automated extraction with off-screen human direction. With this repeatable system, we can scale accessibility across teams without sacrificing alt text quality. 

The Context Engine provides the following forms of context:

  • Local Context (2D): Content nearby and directly related to the image
  • Spatial Context (2D): Page purpose and experience (for example: a product page’s intention is to SELL, whereas a museum collection page is to SHOW)
  • Macro Context (2D): Conducts cultural and historical research on the brand and/or product or museum, exhibit, object, and creator. 
  • Technical Context (2D): Context Report includes WCAG guidance and industry best practices relevant to the pathway. 
  • Functional Context (2D): Scribely guidance on how to understand the function of product and collection pages with standalone or image sequences. 
  • Visual Input (3D): We provide a few questions for viewers to answer related to their reaction to the image or image sequence and reflections on what is most interesting or important to them / others and incorporate it into the analysis. 
  • Non-Visual Screen Reader User Input (3D): Allows users of screen readers to inquire about image sequences and receive answers grounded in the visual content and page context.

Who It’s For & What’s Next

With the Context Engine, we’re reimagining what the landscape of alt text could look like with a repeatable workflow that scales accessibility for businesses and shifts accessibility for screen readers, moving from passive readers to interactive, self-directed explorers. 

The Context Engine for Alt Text is built for: 

  • Alt Text Writers: To eliminate writer’s block with a clear, repeatable system.
  • Screen Reader Users: To explore and ask deeper questions about product and collection pages.
  • Digital Teams: To build and scale custom context-aware alt text workflows (like Custom GPTs or Google Gems).

What’s Next on the Roadmap: Future pathways for our Context Engine that are coming soon include News, Branded Landing Pages, and Memes/GIFs. We will also add Internal Context (2D) to the Context Analysis Report, identifying objects or aspects of images relevant to context (if available) and describing their association to one another. 

See it in action: point our Context Engine for Alt Text at any page and start authoring great alt text, with all the context you need right at your fingertips. 

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