techaccess 0.3.1

AI-powered accessibility toolkit — WCAG audits, code fix generation, multi-page crawl, alt text evaluation

TechAccess

AI-powered accessibility toolkit. WCAG audits, code fix generation, alt text evaluation, and structured reports — powered by local AI.

Built by Like One Foundation — because accessibility shouldn't require a six-figure budget.

Install

pip install techaccess
playwright install chromium

CLI

# Full WCAG audit with score
techaccess audit https://example.com

# AI-enhanced audit (semantic analysis via Ollama)
techaccess audit https://example.com --ai

# Generate code fixes for accessibility issues
techaccess fix https://example.com

# Evaluate alt text quality
techaccess evaluate https://example.com

# ARIA accessibility tree snapshot
techaccess snapshot https://example.com

# Contrast ratio check
techaccess contrast https://example.com

Output Formats

# JSON, Markdown, SARIF (GitHub Code Scanning), or HTML report
techaccess audit https://example.com -f html -o report.html
techaccess audit https://example.com -f sarif -o results.sarif

# CI mode — exit code 1 on serious+ issues
techaccess audit https://example.com --fail-on serious

MCP Server

# Add to Claude
claude mcp add techaccess -- python /path/to/server.py

Tools: access_audit, access_fix, access_evaluate, access_snapshot, access_contrast, access_alttext

How It Works

TechAccess combines three layers:

1. axe-core — industry-standard WCAG 2.0/2.1/2.2 rule engine
2. Playwright ARIA — captures the full accessibility tree for semantic analysis
3. AI layer — local models (Ollama) or Claude API for:
   • Semantic ARIA analysis (landmark structure, heading hierarchy, focus order)
   • Alt text generation and evaluation (llava for vision)
   • Code remediation with before/after diffs
   • Contextual fix suggestions

Scoring

0-100 score with letter grade (A+ through F). Weighted by severity: critical issues count 4x more than minor ones.

Reports

• JSON — machine-readable, CI/CD integration
• Markdown — human-readable summaries
• SARIF — GitHub Code Scanning compatible
• HTML — dark-themed dashboard with charts and fix previews

Requirements

• Python 3.10+
• Chromium (installed via Playwright)
• Optional: Ollama for local AI features

License

MIT. Free forever.