For Developers
Put WCAG in the dev cycle, not in QA
A11y caught in QA is too late. By then you’ve shipped code, burned story points, and face a rebuild. You need scans earlyCI/CD, staging, dev branches. API-first. JSON output. Structured findings you can parse, not PDFs you have to read.
Late-stage a11y burns cycles
QA finds violations in week 3. You rebuild in week 4. Now it’s a11y debt. Run scans in CI/CD and fail the build on regressions instead.
Existing tools don’t cover your stack
axe-core + pa11y + manual PDF checks = three different systems, three data formats, incomplete WCAG 2.2 coverage. You need all 77 checks from one API.
Handoff to fix is painful
“Fix contrast on button.” “Where?” Copy findings to a doc, send to your team, lose half the detail. You want one-click handoff to ChatGPT or Claude.
API-first accessibility. Fail the build on regressions.
REST API with JSON payloads. GitHub Actions / GitLab CI / CircleCI integration. Scan from localhost, staging, or prod. Set WCAG budgets and break your deploy pipeline if you exceed them.
REST API
Structured JSON responses. Scan any URL, get back violations with severity, WCAG criteria, and remediation hints. Parse programmatically, no PDFs.
CI/CD integration
GitHub Actions, GitLab CI, CircleCI templates included. Scan on every PR, fail if violations exceed your budget, report inline on the commit.
Fail-on-regression
Set a WCAG budget. Allow 5 errors. If your code adds a 6th, the build fails. Prevent regressions and avoid tech debt accumulation.
AI handoff
Copy findings to ChatGPT, Claude, Gemini, or Perplexity. Ask for fix suggestions straight from the report. No context loss, no retyping.
Example: CI/CD integration & API response
Here’s how to integrate WCAGHub into your GitHub Actions pipeline and parse the JSON response in your own tooling.
GitHub Actions workflow
Scan your staging environment on every push to main. Fail the build if critical violations are found.
- name: Run WCAGHub scan
uses: wcaghub/action@v1
with:
url: https://staging.example.com
wcag-level: AA
fail-on: error
api-key: ${{ secrets.WCAGHUB_API_KEY }}
- name: Report results
if: failure()
run: |
echo "WCAG violations found. Check the scan report."
exit 1
Typical API response (JSON)
Parse this structure to customize your reporting, integrate with your dashboard, or feed into your own a11y tracking system.
{
"id": "scan_xyz123",
"url": "https://staging.example.com",
"timestamp": "2026-04-16T14:32:00Z",
"wcag_score": 72,
"wcag_level": "AA",
"status": "violations_found",
"summary": {
"critical": 4,
"major": 12,
"minor": 28,
"total": 44
},
"issues": [
{
"id": "contrast_001",
"type": "contrast",
"severity": "critical",
"wcag_criteria": ["WCAG 2.2 Level AA"],
"elements_affected": 3,
"description": "Text color does not meet 4.5:1 contrast...",
"selector": "button.primary",
"fix_hint": "Increase button color saturation..."
}
]
}
77 automated checks. WCAG 2.2 A & AA.
Web Checker handles your sites. PDF Checker covers generated reports. Document Checker processes Word/Excel/PowerPoint. All in one platform, one API, one data model.
Web Checker (77 checks)
HTML structure, images, color contrast, keyboard nav, ARIA, form labels, heading hierarchy. Covers 89% of real-world violations.
PDF Checker (161 checks)
PDF/UA compliance, VeraPDF validation, tags, fonts, metadata. Catches issues that HTML audits miss in generated PDFs.
Document Checker
Word, Excel, PowerPoint accessibility. Useful for exported reports, templates, and internal documentation.
Staged & authenticated scans
Scan localhost, private staging, or behind authentication. No need to deploy to prod to audit. Test before shipping.
AI handoff: from scan to fix suggestion in seconds
Copy your WCAGHub findings, paste them into ChatGPT, Claude, Gemini, or Perplexity. Ask “how do I fix this?” Get code suggestions instantly. No context loss, no manual transcription.
Get findings from WCAGHub
Run a scan (or check your CI/CD results). See your violations listed with WCAG criteria, selectors, and fix hints.
Copy findings to LLM
Select findings, hit “Copy to ChatGPT”. Pre-formatted prompt includes context: the violation, the element, and what WCAG says.
Get fix suggestions
Ask Claude: “Fix this contrast issue in React.” Get back component code, ARIA attributes, and testing suggestions. Paste into your PR.
How developers use WCAGHub
Is there a REST API?
Can I run this locally or in Docker?
How do I integrate with my CI/CD pipeline?
What’s the difference vs axe-core or pa11y?
Does it catch PDF/UA issues too?
Can it scan behind authentication (staging envs)?
Rate limits?
Accessibility in your dev loop, not in QA
Start free. Get API docs. Integrate into your staging environment. Run a scan. See what accessibility debt looks like, then build it into your workflow.