OpenRouter tutorial shows LLMs extracting PDF tables via strict JSON schema
What happened
An October 29 report covered an OpenRouter tutorial on extracting tables from PDFs with LLMs. The PDF is sent with a strict JSON schema, turning tables into rows with explicit data types; field descriptions handle negatives in parentheses, footnotes and merged cells. The test covered 5 PDFs, 2 of them scans. Models that read the PDF directly all extracted all 644 cells correctly. The report states this result covers only this test set, not PDF extraction in general.
Written by AI from the coverage · updated 40 minutes ago
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- AI HOT · Tips & opinionsPickOpenRouter tutorial: extracting tables from PDFs with an LLM
An OpenRouter tutorial sends a PDF plus a strict JSON schema to pull tables into rows with explicit data types. Field descriptions handle negative numbers in parentheses, footnotes and merged cells. Across 5 test PDFs, 2 of them scans, models that read the PDF directly extracted all 644 cells correctly, a result the post limits to this test set.
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