Section Hierarchy Across Long Docs
Accurately detect sections and subsections across long PDF documents
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What teams build with Datalab.
Real examples of what teams parse with Datalab — long PDFs, spreadsheets, multilingual and math-heavy documents. Filter by industry, feature, or workflow to find the one closest to yours.
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Spreadsheets with Empty Cells
Parse Spreadsheets with Multiple Tables and Empty Cells
Hindi
Parse and structure Hindi documents
Math-Heavy PDFs
Extract mathematical PDFs containing dense notation, equations, and references
Scientific PDF with Complex Tables and Figures
Parse complex multi-modal scientific documents
Extracting Japanese Text in Tables
Datalab already supports over 90 languages to enable a more global participation and representation in AI systems.
Invoices
Transform invoice PDFs into structured, machine-readable formats
Healthcare Policy Segmentation
Useful tools to recover documents from 'digitally stapled' PDFs.
SEC Filing Segmentation
SEC filings are a rich source of financial information about companies, but can be difficult to parse at scale.
Financial 10K Extraction
Extract key insights from SEC filings, investor decks, and more. Datalab handles complex, deeply nested tables, cross-page content, and more.
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