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This was not supposed to become a product.When PaddleOCR-VL-1.6 dropped, independent benchmarks put it at the top of document parsing models. I had to try it. I needed a provider, but there simply isn't one ready for production that I would trust.So i set one up myself. I assumed that even after getting it running, serving a vision-language model would be expensive.It turns out the opposite is true. Once I had it running properly, the cost was absurdly low. At proper GPU utilization, the cost is only around $1 per 1,000 pages.The nearest competitors are either much lower quality (Azure Read) or absurdly expensive (Extend or Reducto). Even Mistral OCR 4 which is really good and pretty cheap is still 4x more expensive.So I had to share it. I made the endpoitns public, and vibe-coded a simple dashboard.Let me know what you think!
Comments (3)
whats the inference latency on dense spreadsheets?
cheapest never stays cheapest once adoption picks up
price point destroys competitors. easy adoption play
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