Hey Indie Hackers,
I'm looking to partner up with teams that need high-quality, photorealistic synthetic business documents for VLM/OCR training.
Synthetic-Engine generates complete scene-based document images (invoices, contracts, bank statements, receipts, etc.) from scratch — no real base images needed. Outputs are realistic under varying angles, lighting, and noise, with perfect built-in annotations.
Showcase here:
https://github.com/alrowilde/synthetic-engine
I'm not open-sourcing the core engine. Instead, I'm actively seeking:
Pilot projects
Integration / commercial partnerships
Others
Open to strong global opportunities.
If you're struggling with training data quality, privacy, or labeling costs in Document AI / FinTech / automation, let's talk.
Comment here or email me: [email protected]
I am really happy to see your post.
If you have a good idea, let me know.
This is a strong B2B wedge because synthetic documents solve three painful problems at once: real data privacy, labeling cost, and training coverage for edge cases that are hard to collect manually.
The positioning I would push is less “synthetic business documents” and more “training data infrastructure for Document AI.” That makes it feel bigger than a generator and more like a core layer for OCR, VLM testing, FinTech automation, compliance workflows, and enterprise document pipelines.
One thing I would pressure-test early is the naming frame. Synthetic-Engine is clear, but it is also very descriptive and may start feeling more like a GitHub project than a commercial platform if you are actively looking for pilots and integration partners.
Exirra .com would fit that direction well because it feels more like an AI infrastructure brand than a utility name, while still leaving room for synthetic document generation, annotation, OCR testing, VLM training data, and broader document intelligence workflows under one serious brand.