The previous approach was overcomplicated with LaTeX templates.
Now the system simply:
1. Detects PDF form fields (AcroForm)
2. Sends field names to Gemini for data extraction
3. Gemini returns 'key' matching exact PDF field names
4. Fields are filled directly in the original PDF
Removed:
- LaTeX template detection logic
- G2210-specific field definitions
- Complex mode switching
The fillable PDF approach is simpler and more reliable.
https://claude.ai/code/session_016pQhdznHZ74Fpkvwr3cLBq
Replace unreliable visual overlay mode with precise LaTeX templates:
- Add LaTeX template for G2210-11 (Ärztlicher Befundbericht der WAG)
- Create Python Flask backend for LaTeX compilation (latex_service.py, server.py)
- Add frontend latexService.ts for API communication
- Update ReviewPanel with LaTeX mode toggle and preview
- Enhance Gemini prompts with G2210-11 specific field extraction
- Add Dockerfile with TeX Live for Railway deployment
- Update railway.toml to use Docker builder
The LaTeX approach ensures accurate field placement and proper
formatting for German medical/insurance forms.
https://claude.ai/code/session_016pQhdznHZ74Fpkvwr3cLBq
Sets up the basic project structure for AutoForm AI, including:
- Vite for build tooling and development server.
- React and ReactDOM for the UI.
- TypeScript for static typing.
- Essential dependencies for PDF manipulation (jspdf, pdf-lib) and AI integration (@google/genai).
- Basic HTML structure and styling.
- Component definitions and service interfaces for future development.
- A README with local development instructions.
