A Synthetic Data Engine for VLM/OCR Cases – Seeking Partners

Hi Indie Hackers,
Solo EU-based dev here. Built a mature, on-premise synthetic data engine for the toughest business OCR scenarios – especially in regulated industries like FinTech, Logistics, and Healthcare.

Common enterprise pain points this solves:
Critical small text (quantities, IDs, specs in 6-12pt) is always under-represented → models fail exactly where money or compliance is at stake.
New document formats (gov forms, client invoices) arrive → weeks/months waiting for labeled data kills speed-to-market.
Privacy laws block collecting enough real failed cases → error loop never closes.
Manual labeling is expensive, slow, and inconsistent quality.
VLM fine-tuning is resource-heavy → still need reliable lightweight OCR fallback for production stability.

What I provide (fully built framework, ~40k LOC, not MVP):
100% on-premise, zero cloud, GDPR-aligned, no data leaves your infra.
Structure-aware synthetic generation from your real samples (tables, merged cells, noise, blur, occlusion, dense CJK layouts).
Outputs directly usable for PaddleOCR/Tesseract training (or adaptable to others).
Modular architecture ready for customization – add your specific degradations, layouts, or even VLM-targeted variations.
Proven on extreme cases (dense Chinese business forms) → strong generalization to other scripts.

Benefits for your team/company:
Cut labeling cost/time by 70-90%: turn 50 real docs into thousands of balanced, failure-targeted samples in days.
Accelerate demos & go-live: new client/form? Train & deploy fix in a week instead of months.
Break the "failed case" cycle: proactively fix recurring errors without waiting for real incidents.
Build defensible moat: own your edge-data pipeline, fully auditable & compliant.
Scalable foundation: core is solid; we can co-extend for your unique scenarios (e.g. thermal receipts, handwritten annotations).

Not selling a generic tool or pre-trained model – this is a controllable data factory for serious Document AI teams.

Looking for:
FinTech/IDP/Logistics/Healthcare companies or startups facing real VLM/OCR bottlenecks.
Partnership models: pilot integration, co-development, or deeper collaboration/acquisition if strong fit.

I have already built a few demos on GitHub : https://github.com/alrowilde/ocr-producer

If synthetic data amplification would meaningfully impact your pipeline or revenue, let's chat. Happy to discuss. DM here, or email [email protected].

Thanks!