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Invoice Date Extractor

Pull the issue date, due date and every other date out of invoices.

Drop invoice PDFs, scans or photos here — several at once

Quick Tool Overview

The Invoice Date Extractor pulls invoice dates out of invoice PDFs, scans, photos and pasted text in bulk, showing the line and the label each value came from, and marking anything it inferred rather than read — all in your browser.

What it does
Extracts invoice dates from invoices
You give it
PDFs, scans, photos or text
You get back
Issue and due dates, and every other date found
Best for
Getting invoices into the right period
Invoice Tools Free, unlimited use No sign-up Runs in your browser

About the Invoice Date Extractor

Dates are where invoice data goes wrong quietly. 03/04/2026 is two different days depending on which side of the Atlantic wrote it, and a batch read in the wrong order puts a quarter of your invoices in the wrong month.

It finds every date in the document, works out which is the issue date and which the due date from their labels, and shows the day order it used — so when a file is American you can see that it was read as American.

Drop a PDF, a scan or a photo, or paste the text — several files at once if you have them. Every match is listed with the line it came from, so a value you did not expect can be traced back to the page in a second. Results copy as a list or download as CSV, one row per invoice, ready for a spreadsheet.

Scanned files are read with OCR in your browser and marked as guesses with a confidence figure. Nothing is uploaded: the PDF reader and the OCR engine run on your machine.

Key features of the Invoice Date Extractor

Reads the labels

The way a person does, in several languages.

Shows the evidence

The line every value came from.

Bulk

Many files at once, one row each.

Guesses marked

Inferred values are never presented as certain.

Private

OCR and parsing run on your machine.

How to use the Invoice Date Extractor

  1. 1

    Drop the invoices

    PDFs, scans or photos — or paste the text.

  2. 2

    Read the matches

    Each shows its value and the line it came from.

  3. 3

    Check the unlabelled ones

    Anything inferred rather than labelled is marked.

  4. 4

    Copy or download

    As a plain list or as CSV.

Frequently asked questions

Yes. Drop as many files as you like and each is read in turn, with one row per file in the results.

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