Advanced Table Detection
Utilizes lattice and stream heuristics to accurately spot bordered and borderless tables.
Detect and extract tables from your PDF documents into CSV spreadsheet files. Clean up raw data easily for Excel or database importing.
PDFs are excellent for viewing reports, but they are a dead-end for data analysis. If you receive a financial statement, invoice, or survey report containing a table in PDF format, you cannot easily sort the columns, run formulas, or load the data into a database. Copy-pasting text from a PDF table usually results in a messy wall of text with lost columns and scrambled alignments.
Our PDF to CSV converter solves this problem by using advanced table detection algorithms. It scans your PDF, identifies table boundaries, detects rows and columns, and writes the structured data into clean, standard CSV (Comma-Separated Values) spreadsheet files that you can open instantly in Excel, Google Sheets, or import into any database.
Convert PDF tables to CSV when you need:
A financial analyst receives a company's quarterly earnings report as a PDF. To calculate growth rates and build financial models, they convert the PDF tables to CSV, opening the data directly in Excel to apply formulas.
An operations manager receives a supplier price list containing 500 rows of items in a PDF. Instead of manually typing prices into their ERP, they extract the table to a CSV file and upload it directly to update their database in seconds.
A researcher needs to collect experimental data published in a PDF paper. They convert the data tables to CSV, loading them into Python or R to run statistical analyses.
What is the difference between Lattice and Stream modes? Lattice looks for physical lines (borders) separating the cells of the table. Stream looks at the alignment of text blocks and column spacing (whitespace) to determine the layout of borderless tables. Selecting the correct mode dramatically improves extraction quality.
How does the tool handle multi-page tables?
If your PDF contains multiple tables or spans across several pages, each table is exported into a separate numbered CSV file (e.g., table_1_page_1.csv), and all files are packaged in a single ZIP download.
Can it extract tables from scanned PDFs? Yes. If the PDF lacks selectable text, our backend automatically runs OCR (Optical Character Recognition) to reconstruct the text before running the table detection algorithm.
Are my financial files safe? Yes. Your privacy is our top priority. All file transfers are secured via HTTPS encryption. Uploaded documents are processed ephemerally on our secure servers and permanently deleted shortly after download. We do not store or share your financial data.
Is there a page count limit? We support documents up to 100MB, which easily accommodates massive database dumps and multi-page reports. Very complex table detection may take a few seconds to run.
Built with the same craft as a native app — in a browser tab.
Utilizes lattice and stream heuristics to accurately spot bordered and borderless tables.
Packages tables as standard comma-separated value sheets (zipped if multiple tables are found).
Automatically applies text recognition preprocessing for scanned document tables.
All uploaded spreadsheets and personal data are deleted automatically.
Simple, fast, and totally free.
Upload the PDF document containing the data tables.
Choose Lattice (for visible borders) or Stream (for clean whitespace columns).
Download the resulting ZIP archive containing your CSV data sheets.
Practical applications for this tool.
Extract tabular financial statements, bank transactions, and balance sheets from PDF into Excel-compatible CSVs.
Convert legacy database reports printed to PDF back into structured CSV files for ingestion.
Answers to the questions people ask most about PDF to CSV.
Great pairings with PDF to CSV.