Source link : https://tech365.info/databricks-pdf-parsing-for-agentic-ai-remains-to-be-unsolved-new-software-replaces-multi-service-pipelines-with-single-perform/
There may be a number of enterprise knowledge trapped in PDF paperwork. To make certain, gen AI instruments have been capable of ingest and analyze PDFs, however accuracy, time and price have been lower than excellent. New expertise from Databricks may change that.
The corporate this week detailed its “ai_parse_document” expertise, now built-in with Databricks’ Agent Bricks platform. The expertise addresses a vital bottleneck in enterprise AI adoption: Roughly 80% of enterprise data stays locked in PDFs, studies and diagrams that AI methods wrestle to precisely course of and perceive.
“It’s a common assumption that parsing PDFs is a solved problem, but in reality, it isn’t,” Erich Elsen, principal analysis scientist at Databricks, informed VentureBeat. “The challenge isn’t just that documents are unstructured; it’s that enterprise PDFs are inherently complex. They mix digital-native content with scanned pages and photos of physical documents, alongside tables, charts and irregular layouts, and most existing tools fail to capture that information accurately.”
The hidden complexity behind doc parsing
Whereas optical character recognition (OCR) has existed for many years, Elsen argues that extracting usable, structured knowledge from real-world enterprise paperwork stays basically unsolved.
Key components corresponding to tables with merged cells, determine captions and spatial relationships between doc components are routinely dropped or misinterpret by current…
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Author : tech365
Publish date : 2025-11-14 17:04:00
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