Introducing Lovelace: Making Every Document Accessible

The Problem Is Bigger Than You Think

The vast majority of public-facing PDFs fail accessibility standards. That's not a niche statistic — it affects millions of people who rely on screen readers, magnification tools, and other assistive technologies to interact with digital content.

Universities publish course materials that students with visual impairments can't read. Government agencies post public notices that aren't accessible to the citizens they serve. Healthcare providers distribute forms that patients with disabilities can't fill out independently.

The tools that exist to fix this are either expensive enterprise solutions with opaque pricing, or cheap overlays that don't actually solve the problem. There's a gap in the middle, and that's where Lovelace comes in.

What Lovelace Does

Lovelace is an end-to-end document remediation platform. You upload a document — PDF, Word, LaTeX, PowerPoint, HTML — and we give you back an accessible version that meets WCAG 2.1 AA, Section 508, and PDF/UA standards.

The pipeline works in six steps:

1. Upload your document through our web interface, LMS integration, or API
2. Parse — we extract text, structure, images, and tables automatically
3. Analyze — our AI identifies accessibility issues: broken heading hierarchy, missing alt text, reading order problems
4. Remediate — we auto-fix the structure, generate descriptive alt text, and convert math to accessible MathML
5. Validate — every document is checked against PDF/UA, WCAG 2.1 AA, and Section 508 standards
6. Deliver — download your compliant document along with a detailed compliance report

Why AI Changes Everything

Previous approaches to document accessibility were either fully manual (expensive, slow) or rule-based (catches the easy stuff, misses the nuance). AI changes the equation.

When Lovelace encounters an image in your document, it doesn't just check whether alt text exists — it generates accurate, descriptive alt text that actually helps a screen reader user understand what the image conveys. For charts and graphs, it describes the data trends. For diagrams, it explains the relationships.

When it analyzes your heading hierarchy, it doesn't just flag that you skipped from H1 to H3. It understands the semantic structure of your document and suggests a hierarchy that makes logical sense for someone navigating by headings.

Who It's For

We're building Lovelace for two primary audiences:

Education institutions — universities, K-12 districts, and STEM departments that need to make course materials accessible. We integrate directly with Canvas, Blackboard, D2L, and Moodle so you can remediate content where it lives.

Government and enterprise — state agencies, healthcare organizations, and businesses facing ADA Title II deadlines and Section 508 requirements. We offer batch processing for organizations that need to convert thousands of documents at scale.

What's Next

We're in active development, building out the platform piece by piece. The core pipeline is working — document parsing, AI analysis, compliance scoring, and output generation are all functional. We're now focused on LMS integrations, batch processing at scale, and the dashboard experience.

If your organization is staring down an accessibility deadline, we'd love to talk. The ADA Title II deadline for large governments is April 2026 — that's not far away.

We named this project after Ada Lovelace, the first programmer. It felt right for a platform that's trying to make the digital world work for everyone.