Spreadsheet extraction

Spreadsheet-friendly exportColumn anchor inferenceNo file upload required

Convert PDF tables to Excel.

Pull tables and structured rows into an Excel workbook. Phase 1 focuses on local spreadsheet extraction rather than full table-reconstruction fidelity.

Input
PDF tables
Runtime
Browser analysis
Output
XLSX file

Drop a PDF to extract to Excel

Preview pages, inspect inferred rows and columns, then generate an XLSX workbook locally.

Local processing · up to 50MB per file
How to use PDF to Excel
  1. 01

    Select PDF

    Choose the PDF with tables or data. The file is loaded into your browser session for local processing.

  2. 02

    Analyze structure

    The engine groups text into lines, infers repeating column anchors, and maps rows into spreadsheet-friendly worksheets.

  3. 03

    Download Excel

    The Excel file is generated locally and prepared for download in the same session.

Data extraction should expose its assumptions.

Table recognition

The workflow groups text into spreadsheet rows and infers stable column anchors for more consistent worksheet columns.

Spreadsheet output

Structured worksheet output is generated locally for review in Excel, Sheets, or compatible tools.

Local data handling

Financial or operational data stays in the browser session during standard extraction workflows.

Data privacy

Extract financial or operational data locally without a separate third-party upload step for standard workflows.

Smart formatting

Output preserves table-like structure where repeated row and column patterns are visible in the source PDF.

Heuristic by design

Exact table reconstruction still depends on the source PDF. The page states that boundary instead of overpromising.

Extract PDF tables into Excel with a local workflow

Extracting tables from PDF files is common for reporting and analysis. Many tools require uploading sensitive files to remote servers. DocuStitch removes that step for standard workflows.

Why local extraction matters

With DocuStitch, extraction runs in your browser session using WebAssembly (WASM), so table data stays on your device during processing.

Spreadsheet-friendly output

The current engine groups page text into rows, infers repeating column anchors, and builds worksheet output that is easier to edit and review in Excel.

Table recognition

Uses row grouping and inferred column anchors to build more usable spreadsheets from PDF text.

Data intelligence

Infers repeated column positions to place extracted text more consistently across rows.

Privacy focused

Extraction runs in your browser session instead of a remote upload queue.

Fast execution

Starts quickly without waiting for a remote upload queue.

Frequently asked questions about PDF to Excel
Is it safe to extract financial data from PDFs?

DocuStitch is designed for local-first processing. For standard workflows, data stays in your browser session during extraction.

Will formatting be preserved in Excel?

The current workflow is heuristic, but it uses inferred column anchors in addition to row grouping. Exact reconstruction depends heavily on the source PDF.

Can I extract from scanned PDFs?

Yes, but scanned content may require OCR processing and results depend on scan quality.

Do I need Microsoft Excel to open the file?

No. The exported .xlsx file can be opened in Excel, Google Sheets, LibreOffice, and other compatible tools.

Do I need to install software?

No. The workflow runs in modern browsers with WebAssembly support.