Can I use AI to extract data from PDF?

Yes. AI can extract PDF data into an Excel spreadsheet, CSV, or JSON, including invoices, receipts, and forms. Define the fields, test a small sample, and compare the result with the original pages.

For a recurring workflow, document extraction services can combine OCR, field extraction, and review controls.

Which PDF extraction method should you use?

Start by trying to select a line of text in the PDF.

• Selectable text and a simple table: try a table extractor with area selection, a row preview, and CSV export before paying for AI.
• An image-only scan: use optical character recognition (OCR) or a document tool that can read page images. OCR turns page images into machine-readable text; field extraction then assigns that text to columns such as supplier or total.
• Changing layouts or fields spread through prose: use AI to map the content into a consistent schema.
• A recurring stream of invoices or forms: evaluate a document processing service with extraction confidence and a review workflow.

Selectable text is a useful first check, not a guarantee. A PDF can mix readable text with scanned pages.

For scans, look for OCR software that adds a searchable text layer while preserving the page layout. Check that you can select and copy a known line accurately. A searchable PDF still needs field extraction and validation before it becomes a checked spreadsheet.

How to extract PDF data with ChatGPT

For attachment steps, follow the PDF upload guide.

Use this prompt for invoice headers:

Extract one row per invoice from the attached PDF.
Columns: invoice_number, supplier, invoice_date, currency,
subtotal, tax, total, source_page, review_note.
Use the PDF's physical page numbers, starting at 1.
Keep invoice numbers as text, including leading zeros.
Preserve dates and amounts exactly as printed.
Leave missing fields blank. Flag unclear values in review_note.
Do not calculate a missing amount or guess a currency.
Return CSV and list any pages you could not read.

For line items, request a separate table keyed by invoice number. Combining invoice totals and item rows in one table can create double-counting later.

How do you convert extracted PDF data to Excel?

Request an .xlsx workbook if file creation is available. Otherwise, save the returned CSV and import it into Excel or Google Sheets. Set invoice numbers to text during import, then check dates and decimal separators. Quoting an ID in CSV does not guarantee that a spreadsheet will preserve its leading zeros.

For example, keep an invoice number of 00127 as text. Preserve an ambiguous date such as 03/04/2026 as written until you know whether the document uses day-month-year or month-day-year. Put any standardized value in a separate column.

How do you check the extracted PDF data?

Compare invoice numbers, totals, currencies, and dates with the source. Check the first and last rows on each extracted table page. Look for repeated headers, missing negative signs, decimal shifts, and rows split across page breaks.

Then apply independent checks: required fields must be present, identifiers must follow your format, and totals should reconcile where the document's accounting rules allow it. A reconciliation failure should trigger review rather than an automatic correction.

Can AI read scanned PDFs accurately?

It can read many scans, but image quality, rotation, handwriting, and small print affect the result. Rotate sideways pages, obtain a clearer source where possible, and test the difficult pages. Ask for a transcription of a known line before attempting a whole batch. An OCR error in 8 versus 3 can survive every later formatting step.

What matters when processing PDFs at scale?

Keep the original file, extraction result, source-page reference, and review status together. Route unclear values for human review. Use employer-approved tools for confidential documents.

Choose software by cost per accepted record, including correction time. For a comparison by workload, see which AI is best for data entry.