Structured Data Extraction from PDFsReady for Your Analytics Pipeline
Stop re-typing tables from PDFs. TableForge extracts clean, normalized data from any document — ready to import into Python, Power BI, Tableau, or your data warehouse.
Zero data retention — your documents stay private.
Start Extracting Free →Structured Data Mode — Pipeline-Ready Output
Built for the extraction quality that data work requires.
Normalized output
Column types are inferred and standardized. Numeric columns contain only numbers. Date columns are formatted consistently. No mixed types in a single column.
Clean, consistent structure
Whitespace stripped, duplicate headers removed, multi-level headers flattened. The output is structured to be imported immediately without cleanup.
Multi-page table merging
Tables that span multiple pages are automatically detected and merged into a single sheet. No more stacking pages manually in pandas.
Data Sources You Can Now Process
Government & Public Data
Census data, economic reports, and statistical publications often exist only as PDFs. Extract them directly to Excel for analysis.
Financial Reports
Annual reports, 10-K filings, earnings releases — all packed with financial tables. Extract the data without the manual copy-paste.
Research Papers
Academic and industry research papers frequently include results tables. TableForge extracts them accurately even from complex journal layouts.
Market Research Reports
Analyst reports and market studies are often distributed as PDF. Extract the underlying data tables for your own analysis.
Legacy Data Exports
Older systems often export data as PDFs. TableForge handles scanned documents and image-based PDFs with built-in OCR.
Vendor & Supplier Data
Price lists, product catalogs, and inventory sheets sent as PDFs — extracted to Excel for import into your systems.
From PDF to Analytics Pipeline in Three Steps
Upload PDF
Upload any PDF — native, scanned, or image-based. Financial reports, research papers, government data, anything.
Select Structured Data mode
Choose "Structured Data" mode for normalized, analytics-ready output with consistent column types and clean whitespace.
Download Excel
Download a clean .xlsx file with normalized data. Import directly into Python, Power BI, Tableau, or your data warehouse.
Also Available: Markdown Mode for LLM Pipelines
If you're feeding extracted data into a RAG pipeline, LLM prompt, or documentation system, Markdown mode converts your tables to well-structured Markdown text — ready to paste directly into your vector database or context window.
Try Markdown Mode →Stop copying tables from PDFs by hand.
Extract clean, structured data in seconds. No account required to try.
Extract Structured Data →