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by chelm
33 days ago
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tl;dr: years ago, Tesseract was the go to tool to extract text. Nowadays, vLLMs can not only extract the text and the layout but also context and provide structured data or even interpret or map data across documents. Prices dropped significantly, while extraction, classification and modification capabilities increased. The intelligent document processing (a funny marketing term on top of OCR) market moves from "Can software extract the text", which is normally measured by benchmarks, to can software autonomously run "a" specific company process. the fallback is called human in the loop, hallucination (LSTM vs. vLLM), prompt engineering. proof me wrong: the hardest challenge is no longer the OCR accuracy but the integration and issue handling in production. Probably "an agentic team can handle this" ^^ |
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