If you’ve ever worked with AI models to parse real-world documents like invoices or receipts, you know one truth: good test data is painfully hard to find.
Real receipts are noisy, diverse, and often private. PDF templates are brittle and too clean. OCR outputs are inconsistent. And once you move beyond English or simple formats, it gets even messier.
That’s why I built this:
GitHub: WellApp-ai/ai-receipt-generator
Example output: imgur.com/a/YtFSodj
What’s Next?
Right now it supports:
- OpenAI models (via API)
- Local generation via Faker
- YAML-configured generation flows
Coming soon:
- Support for Claude, Gemini, Mistral, etc
- More built-in schema presets
- Predefined prompt templates (by region, industry, language)
We’re also planning to dogfood this internally for auto-evaluations of our own parsing engine.
Real receipts are noisy, diverse, and often private. PDF templates are brittle and too clean. OCR outputs are inconsistent. And once you move beyond English or simple formats, it gets even messier.
That’s why I built this:
GitHub: WellApp-ai/ai-receipt-generator Example output: imgur.com/a/YtFSodj
What’s Next?
Right now it supports: - OpenAI models (via API) - Local generation via Faker - YAML-configured generation flows
Coming soon: - Support for Claude, Gemini, Mistral, etc - More built-in schema presets - Predefined prompt templates (by region, industry, language)
We’re also planning to dogfood this internally for auto-evaluations of our own parsing engine.