PDF to Excel Converter Free — Extract Tables from PDF to Spreadsheet
Free PDF to Excel converter: extract tables from PDF to XLSX or CSV, one table at a time. Great for bank statements and invoices. Runs in your browser - no upload.
Select a PDF with tables
Drag & drop your PDF here, or click to browse
Works best on digital PDFs — bank statements, invoices and financial reports
Files never leave your device
Processed entirely in your browser — nothing is uploaded
No account required
No sign-up, no email, no usage counter
No file size limit
Bounded only by your own device memory
No watermarks
Your output comes back clean and unbranded
Detection and export both run in your browser — bank statements and payroll reports never touch a server.
What types of PDFs work best?
Digital PDFs with real tables
Anything exported from Excel, an accounting package or a reporting tool. Column boundaries are unambiguous, so extraction is near-perfect.
Bank and card statements
Date, description, amount and balance columns are exactly the shape this detector is tuned for — one table per statement page.
Financial reports
Balance sheets and P&L statements come through with their row labels intact, ready to chart or pivot.
Product catalogues with pricing
Long multi-page price lists are detected per page, so you can pick out only the ranges you need.
How to convert PDF to Excel
- 1
Add your PDF
Your browser reads every page and reports how many separate tables it found — no guessing before you commit.
- 2
Pick the tables you want
Preview each one as a real grid, tick the ones worth keeping, and choose XLSX, CSV or a Sheets-ready TSV.
- 3
Export and open
Download the spreadsheet and start working — one tab per table, or everything stacked in one sheet.
About this tool
This tool pulls tables out of a PDF and into a spreadsheet, entirely in your browser. Instead of dumping every line of the document into one sheet, it identifies discrete tables — runs of consecutive rows that share a column shape — reports how many it found, and lets you preview each one as a real grid and pick only the ones you want. Bank statements, invoices and financial reports are exactly the shape it is tuned for.
How to Convert PDF to Excel
- 1
Open your PDF. Every page is read locally and the tool reports what it found — '3 tables detected' — rather than making you convert blind and sort out the mess afterwards.
- 2
Review and choose. Each detected table is listed with its page number, row count, column count and whether a header row was recognised. Click one to see it rendered as a real grid, then tick the tables worth exporting.
- 3
Pick a format and export. Choose an Excel workbook, plain CSV, or a tab-separated file that Google Sheets splits into columns correctly. For workbooks you can put each table on its own tab or stack them all in one sheet, and choose whether to keep detected header rows.
Why Extract PDF Tables with Wrklyst
- Financial Data Never Leaves Your Device
- Detection and export both run in your browser. Bank statements, payroll reports and client invoices are never uploaded — which is the only responsible way to handle them.
- Real Table Detection
- Page headings, footers and marketing paragraphs are recognised as table boundaries rather than swept into your data, so you get the rows you wanted instead of a sheet you have to clean by hand.
- See Every Table Before Exporting
- Each detection renders as a scrollable grid on the page. You know exactly what you are getting before a single file is written.
- Pick and Choose
- A 40-page catalogue might hold one table you care about. Select just that one instead of exporting everything and deleting the rest in Excel.
- Three Output Formats
- XLSX for Excel, Numbers and LibreOffice; CSV for importing into anything at all; and TSV, which Google Sheets parses into columns correctly on both import and paste.
- Header Rows Detected Automatically
- A first row of labels above rows of numbers is recognised as a header. Keep it, or switch it off to export pure data when you are appending to a sheet that already has its own columns.
Why Extract Tables from PDF?
- Bank statements to a spreadsheet
- Banks hand out PDFs and often charge for anything else. Extracting the date, description and amount columns lets you categorise a year of transactions, reconcile accounts, or build a budget without retyping hundreds of rows.
- Invoice data extraction
- Accounts-payable teams receive invoices as PDFs from dozens of suppliers. Pulling the line items into a sheet makes totals, VAT and purchase-order matching a formula instead of an afternoon.
- Financial report analysis
- Annual reports and P&L statements publish their numbers as PDF tables. In a spreadsheet those same numbers can be charted, indexed, compared year over year, or dropped into a model.
- Research data processing
- Academic papers and clinical studies publish results tables inside the PDF. Extracting them is the first step to re-analysing the data, replicating a finding, or pooling results across papers.
- Government and public-records data
- Statistical releases, planning registers and procurement disclosures are still published overwhelmingly as PDFs. Getting them into a spreadsheet is what makes them analysable at all.
- Price lists and catalogues
- Supplier catalogues arrive as long multi-page PDFs. Extracting the pricing table lets you compare vendors, calculate margins, or import products into a store.
What Types of PDFs Work Best?
Table extraction reads the position of text on the page. How well it works depends almost entirely on whether that text exists and how clearly the columns are separated.
| Method | Verdict | What that means |
|---|---|---|
| Digital PDFs with real tables | Near-perfect | Anything exported from Excel, an accounting package or a reporting tool. Column boundaries are unambiguous and every cell is real text, so extraction is essentially exact. |
| Bank and card statements | Excellent | Date, description, amount and balance columns are precisely the shape this detector is tuned for, and each statement page is recognised as its own table. |
| Financial reports | Very good | Balance sheets and P&L statements come through with their row labels intact. Merged cells spanning several columns may need a moment's tidying afterwards. |
| Product catalogues with pricing | Good | Long price lists are detected per page, so you can export only the ranges you need. Heavily designed catalogues with text wrapped around images are less reliable. |
| Scanned PDFs | Not directly | A scan holds pixels, not text, so there are no positions to read. Recover the text with OCR first — our PDF to Word tool has it built in — then extract from the result. |
Pro Tips for PDF to Excel
- Preview before exporting. Thirty seconds spent scrolling a detected table tells you immediately whether the column split landed where you expected.
- Exporting a multi-page statement? Stack all tables into one sheet — each page is detected separately, but they are really one continuous ledger.
- Switch off 'keep detected header rows' when appending to a sheet that already has column labels, so you do not get a header line repeated mid-data.
- For Google Sheets, TSV beats CSV: tabs never collide with the commas inside amounts like 1,250.00.
- If a table is split across a page break, export both halves and delete the repeated header row in your spreadsheet — one keystroke, and safer than guessing at detection.
- Check the row count in the table list against the source document before you rely on the data; it catches a page the detector treated as prose.
Frequently asked questions
How do I convert PDF tables to Excel free?
Upload your PDF above and the tool immediately reports how many tables it detected. Click any of them to preview it as a grid, tick the ones you want, choose Excel workbook as the format, and export. There is no sign-up, no watermark and no daily limit — the detection and export code runs in this page, so nothing is uploaded and nothing is charged for.
Can I extract data from a scanned PDF?
Not directly, and it is worth understanding why. Extraction works by reading the horizontal and vertical position of every piece of text on the page and inferring the grid from the gaps. A scanned page contains no text at all — only an image of text — so there are no positions to read and no table to find. The fix is to recover the text first with OCR: our PDF to Word tool has OCR built in for twelve languages, and its output can then be worked with directly.
What if my PDF has multiple tables?
That is the case this tool is built for. Every table is detected separately, listed with its page number and dimensions, and previewed on its own — so a 40-page report with a table on each page gives you 40 individually selectable extractions rather than one tangled sheet. For Excel output you then choose whether each table gets its own tab, or whether they are stacked into a single sheet with a caption above each, which is the right choice when the tables are continuations of one another.
Will formulas be preserved?
No, and no tool can do this — the information does not exist in the file. When a spreadsheet is exported to PDF, formulas are evaluated and only their computed results are written to the page. A cell that held =SUM(B2:B13) becomes the literal text 12,480. Extraction faithfully recovers that number, but the formula behind it is gone for good. If you need the live formulas you need the original spreadsheet; once the values are in Excel you can of course write new formulas over them.
Can I convert to Google Sheets?
Yes — choose the TSV option, which is tab-separated text. Google Sheets splits tab-separated data into columns correctly both when you use File then Import and when you simply paste it into a cell, which is why it is a more reliable route into Sheets than CSV, whose commas collide with the ones inside currency figures. The XLSX option also opens in Google Sheets directly if you would rather upload the workbook to Drive.