Batch convert PDF tables to editable Excel spreadsheets. Each table on each page is automatically extracted to separate sheets — upload multiple files and let the tool do the rest. All processing stays in your browser, no upload required.
Uses PyMuPDF's find_tables() to automatically detect and extract structured tables from PDF pages. Multiple tables on the same page are each extracted to their own section in the sheet.
Upload multiple PDF files at once — they convert automatically. Each PDF page becomes a separate sheet in the Excel workbook, with tables extracted in reading order.
Extracted tables preserve row and column structure, headers, and cell content. Each table's layout is maintained for easy editing and analysis in your spreadsheet software.
All conversion happens locally in your browser via WebAssembly. Your PDF files never leave your device — no uploads to any server, complete privacy.
No software to download or install. The entire conversion engine runs in your browser via WebAssembly — works on any device with a modern browser.
Our PDF to Excel converter uses PyMuPDF (fitz) to analyze PDF documents and automatically detect structured tables using the built-in find_tables() algorithm. Each identified table is converted to a pandas DataFrame and written to an XLSX file using OpenPyXL. Multiple tables on the same page are stacked vertically within the same sheet, separated by spacing. Multiple PDFs can be uploaded and processed in batch — they begin converting automatically after upload. Each completed file appears in the results list for individual download, or all files can be downloaded together as a ZIP archive. If no tables are detected, the tool creates an information sheet explaining the limitation. The entire process runs locally in your browser via WebAssembly — no data is ever uploaded. Perfect for extracting financial data, reports, invoices, and any structured tabular content from PDF documents for further analysis in spreadsheet software.
Converting a PDF to an Excel spreadsheet with our tool is simple:
Drag and drop a PDF file onto the upload area, or click to browse and select a file from your device.
Files begin converting automatically after upload. PyMuPDF's find_tables() engine analyzes each page and identifies structured tables — no need to click a convert button.
Once conversion is complete, download the resulting XLSX file. Each PDF page becomes a separate sheet with tables extracted in reading order.
This converter uses PyMuPDF's find_tables() for table detection, which works best on PDFs with clearly defined table structures (borders, consistent columns). Multiple PDFs can be uploaded and converted in batch — each completed file appears in the results list for individual download, or download all as a ZIP archive. Scanned PDFs (image-based documents) cannot be processed since they lack selectable text. Complex merged cells or nested tables may not be perfectly preserved.