PDF Invoice Data Extractor

Drop in a batch of vendor invoice PDFs and pull out Invoice Number, Date, and Total Amount for every file — reviewed in your browser, then exported as one clean CSV ready for your accounting system.

Batch Extraction Workspace

📄 UPLOAD INVOICES

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Click to select PDF invoices

or drag & drop multiple files here

Files Processed0

Fully Matched0

Needs Review0

EXTRACTED DATA

Upload PDFs and click Extract Data to see results here.

Extraction Blueprint

What Does This Tool Pull Out?

For every PDF you upload, the tool reads the embedded text layer and scans it for the three fields accounts payable teams key in most often: Invoice Number, Invoice Date, and Total Amount. Anything it can't confidently locate is flagged as "Needs Review" instead of being guessed, so nothing wrong slips into your books.

Extraction Workflow

How to Run a Batch Extraction

Upload Your Invoices

Select or drag in as many PDF invoices as you have on hand — one file per invoice.

Run Extraction

Click Extract Data. Each PDF's text layer is scanned in your browser for Invoice Number, Date, and Total Amount.

Review Flagged Rows

Rows marked "Needs Review" mean a field couldn't be found with confidence — double-check those against the source PDF.

Download the CSV

Export the full table as a single CSV file ready to import into your accounting or ERP system.

Extractor FAQ

Frequently Asked Questions

Does this upload my invoices anywhere?

No. Every PDF is read and processed entirely in your browser using pdf.js — no file is uploaded to a server. Data only leaves your device when you click Download CSV.

Why do some rows say "Needs Review"?

Invoice layouts vary a lot between vendors. If the tool can't find a field with confidence, it flags it as "Needs Review" rather than guessing, so you can check that field against the original PDF before it goes into your books.

Does this work on scanned (image-only) invoices?

Not reliably. This tool reads the text layer inside the PDF. Scanned invoices without an OCR'd text layer will come back mostly flagged — run those through OCR first, then re-upload.

Can I edit a value before downloading?

The current version exports exactly what was detected. For now, fix any flagged values directly in the CSV after downloading, then import into your accounting system.

Good to Know

Accuracy & Limitations

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Disclaimer: This tool uses pattern matching to locate fields in invoice text and does not guarantee 100% accuracy. Always spot-check extracted data, especially any row flagged "Needs Review," before entering it into your accounting system.