Extract tables from invoices, bank statements, reports and scanned PDFs into clean CSV, Excel, JSON or SQL. With table detection, OCR, data cleaning and an editable grid — all privately in your browser. No watermark, no sign-up.
Extract tables from PDF → CSV100% private — runs in your browserInvoices · bank statements · OCR
Drag & drop your PDF
or browse, upload a folder, or import from a URL — extracts tables to CSV
Invoices · bank statements · financial reports · research tables · scanned PDFs (OCR)
Your queue is empty. Add a PDF with tables above — invoices, bank statements, reports and scanned PDFs all convert to clean CSV, privately on your device.
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Why this is the best free PDF to CSV converter
Real table detection
Clusters positioned text into rows & columns — bordered, borderless, multi-column and multi-page tables, with header detection.
100% private
Parsed with pdf.js in your browser. Your PDF — and its financial data — is never uploaded.
OCR for scans
Detects scanned PDFs and recognises them in 12 languages with tesseract.js, then rebuilds the tables.
Financial & invoice modes
Tuned for bank statements, ledgers, tax docs and invoices — currency detection and number normalisation.
CSV (4 variants, any delimiter), real XLSX, TSV, JSON, XML and SQL — plus copy, ZIP and QR.
What is PDF to CSV?
PDF to CSV conversion extracts the tables inside a PDF and turns them into CSV (comma-separated values) — a plain-text, spreadsheet-ready data format. Instead of re-typing figures from a PDF, you get structured rows and columns you can open in Excel or Google Sheets, analyse, and import into databases and reporting tools.
PDFs store text by position on the page, not as a real table, so extraction is reconstruction: the engine clusters text into rows by vertical position and columns by horizontal position, detects headers, repairs broken rows, recognises data types, and serialises the result. This tool does all of that in your browser with pdf.js, and OCRs scanned PDFs on request — nothing is uploaded.
Why convert PDF to CSV?
CSV unlocks the data trapped in PDF tables. The most common reasons people convert:
Spreadsheet analysis — open in Excel/Sheets to filter, sort, pivot and chart.
Data migration — move tables into databases, CRMs and ERPs.
Accounting — turn bank statements, invoices and ledgers into importable rows.
Reporting — feed dashboards and BI tools with clean, structured data.
Business intelligence — combine extracted data with other sources for analysis.
Automation — script and schedule workflows that no longer depend on manual re-keying.
Convert a PDF to CSV in 4 steps
1
Upload your PDF
Drag in a PDF (or import from a URL). The tool instantly analyses it — file info, table count, rows and columns detected, OCR status and a confidence score — and renders page thumbnails, entirely in your browser.
2
Choose an extraction mode
Pick a mode — Standard, High Accuracy, AI Reconstruction, OCR (for scanned PDFs), Financial or Invoice — and set the output (CSV, XLSX, JSON, TSV, XML or SQL), delimiter and cleaning options.
3
Review the tables
See every detected table in an editable grid. Rename, reorder, merge or remove columns, check the auto-detected data types, and clean the data before exporting.
4
Download your CSV
Extract and download CSV, XLSX, JSON and more — or copy the data, grab a ZIP of every table, and share. Everything stays on your device.
PDF vs CSV
PDF is a fixed-layout document for reading and printing; CSV is a structured data format for spreadsheets and automation. The table below compares the two where it matters for working with data.
Feature
PDF
CSV
Editability
Hard to edit values
Edit freely in any spreadsheet
Data analysis
Not analysable directly
Formulas, pivots, charts, BI
Automation
Needs parsing first
Imports into scripts & databases
Spreadsheet compatibility
None
Excel, Sheets, Numbers — native
Reporting
Static, manual re-keying
Feeds dashboards & reports
File size
Large binary
Tiny plain text
Machine-readable
No (layout, not data)
Yes — structured rows & columns
Supported PDF types
The extractor is tuned for the document types where tables matter most.
Invoices
Bank Statements
Tax Reports
Accounting Reports
Purchase Orders
Receipts
Research Papers
Government Reports
Utility Bills
Financial Statements
Best PDF to CSV settings
Different documents call for different settings. These recommendations get the cleanest extraction on the first try.
Financial mode · High Accuracy · normalize numbers · XLSX (sheet per table)
Research data
High Accuracy mode · page range to isolate the table · CSV / JSON
Government documents
High Accuracy · borderless detection · remove footers
Scanned documents
OCR mode · select language · fix broken rows · review the grid
Privacy, security & data handling
Your documents stay yours. The extraction runs entirely in your browser — your PDF is read, tables are detected, cleaned and exported on your device, and nothing is uploaded or logged. OCR downloads its language model locally and recognises pages on-device.
There is nothing to store on our side, and files are released the moment you close the tab — supporting GDPR-compliant handling of financial and personal documents by design. For automated, server-side extraction at scale, the developer API offers the same engine with batch jobs, webhooks and team controls.
PDF to CSV API & document intelligence
Automate extraction with the PDF to CSV API: PDF-to-CSV, OCR, invoice parsing, bank-statement parsing, batch and asynchronous jobs, webhooks, API keys, team accounts and usage analytics — backed by the same engine as the web tool plus advanced server-side layout analysis.
Pricing scales from a Free tier for prototyping to Pro, Business and Enterprise plans that add ERP/accounting connectors (QuickBooks, Xero, SAP, Airtable), Google Sheets sync, scheduled extraction, data-validation rules and SLA-backed support.
A PDF to CSV converter extracts tables from a PDF and turns them into structured CSV (comma-separated values) you can open in Excel, Google Sheets or any data tool. It detects rows and columns from the PDF’s layout, reconstructs the table, cleans the data and exports it. This tool parses PDFs with pdf.js entirely in your browser — nothing is uploaded.