Extract tables and structured data from PDFs into an Excel spreadsheet (.xlsx) so you can sort, filter, and calculate without retyping. Our server uses tabula-py to detect and extract table regions from the PDF — particularly useful for invoices, bank statements, financial reports, and data exports.
PDFs with clearly defined table grids work best. Scanned PDFs (images) may not extract well without running OCR first. Text-based PDFs from Excel, Word, or government reports give the cleanest results.
The tool attempts to detect all tables in the document. Each table is placed on a separate sheet in the Excel file.
Yes. Table extraction uses tabula-py (Java-based) running on our server. Your file is deleted automatically after you download the result.
Usually 15 to 45 seconds depending on the number of pages and complexity of the tables.
If no table structure is detected, the resulting Excel file may be empty or contain partial text. Text-heavy PDFs without grid layouts are better converted with PDF to Word.
Extract tables and data from PDF to Excel spreadsheets precisely.
or drop file hereSupports: PDF