Extract Table from PDF to Excel

StatementToExcel processes PDF documents 100% locally in your web browser memory using client-side WebAssembly (Wasm). Raw PDF content streams, text glyphs, and 2D bounding boxes are extracted directly via your computer CPU. No document, page image, or financial figure is ever transmitted over the network or saved to external servers.

Native digital PDFs already contain vector text characters with precise sub-pixel coordinates. Cloud OCR rasterizes vector text into lossy bitmap images and uses probabilistic models to guess characters, frequently confusing 0 with O, 1 with l, or misaligning columns. Spatial clustering preserves the exact native vector text and groups characters by geometric baseline coordinates with 100% mathematical fidelity.

The baseline threshold defines the vertical tolerance (y-distance in pixels) used to cluster text fragments into a single horizontal row. Standard (3.5px) is optimal for 95% of bank statements and financial tables. Tight (2.0px) prevents multi-line descriptions from accidentally merging. Loose (5.0px) accommodates skewed scans or uneven line heights.

Yes. You can export directly into formatted Microsoft Excel (.xlsx) workbooks with auto-calculated column widths, download RFC 4180 compliant CSV files, or click Copy TSV to instantly paste tabular rows directly into Google Sheets, Apple Numbers, or Excel.

Our column detection engine analyzes horizontal token boundaries across the entire document to establish universal column gutters. When a transaction has an amount in the Debit column but no Credit, the extractor automatically slots an empty cell into the Credit column, preserving perfect column alignment across every row.

Yes. All exports automatically pass through formula injection sanitization (CWE-1236). Any cell beginning with formula triggers such as =, +, -, or @ is automatically escaped with a leading single quote, ensuring that opening the file in Excel or Google Sheets cannot execute arbitrary commands.