Free OCR Table Extractor

A financial statement might contain 4 tables across 3 pages, each with different column structures, merged cells, and footnote markers. This tool detects and extracts tables from images and scanned PDFs. It handles bordered tables, borderless columnar data, financial statements with subtotals, and nested headers with merged cells. Each table found in the document is extracted separately with its own row/column structure. Complex layouts like tables with spanning rows or multi-line cells are handled by the AI vision model, which reads the visual structure rather than relying on text positioning. It works best with clearly printed tables on a clean background. Handwritten tables, heavily shaded cells, or low-resolution images may produce errors.

Data analysts and research assistants use this when they need to get tabular data out of a PDF that was generated from a scan or a screenshot. Financial analysts use it to extract tables from scanned annual reports or broker statements. Instead of retyping a 50-row financial table into Excel, you upload the image and download a CSV.

Retyping a table from an image into a spreadsheet takes 5 to 20 minutes depending on the number of rows and columns, and one transposed digit can throw off your analysis. This tool extracts the structure in seconds. You can preview each table as HTML, copy it to clipboard, or download it as a CSV file. Always verify numeric values against the original for financial or regulatory purposes.

Common use cases

• Financial data extraction: pull financial statement tables from scanned annual reports into Excel for modeling
• Research data capture: extract data tables from scanned academic papers or government statistical reports
• Legacy system migration: convert tabular data from old printed reports into CSV format for import into modern databases

The workspace extracts tables from your entire document library. Create a free Eudoxic workspace to upload a batch and download all tables at once.