Extract the issuer, buyer, the credited invoice, reason for credit, line items, VAT, and the credit amount from a credit note PDF. EN 16931 field model.
Drag and drop your PDF here, or click to browse
Accepts PDF · Max 10MB · Up to 100 pages
Your file is processed securely via Talonic's API. No data is stored after extraction.
HOW IT WORKS
Upload your Credit Note
Drag and drop your Credit Note PDF, or click to browse. Scanned and digital PDFs both work, no template setup required.
Talonic extracts every field
Talonic's document AI reads your PDF and pulls out every field it can find, each with a confidence score and a link back to the source.
Download clean, structured data
Review the fields side by side with your original PDF, then download as CSV, JSON, or XLSX for a spreadsheet, a database, or analysis.
THE PROBLEM
A PDF describes where text sits on a page, not what the values mean. The fields on a Credit Note — names, numbers, dates, line items — are just ink that happens to line up. Copy and paste it into a spreadsheet and columns merge, multi-line values split, and numbers land in the wrong place.
Most tools either dump raw text with no structure, or force you to draw template zones for one fixed layout that breaks the moment the document changes. Doing it by hand is slow, error-prone, and painful at scale.
THE SOLUTION
Credit Note Extractor is powered by Talonic's production extraction engine, the same technology finance and operations teams use to process documents at scale. Upload your Credit Note PDF and get back clean, structured fields with confidence scores, ready to download as CSV, JSON, or XLSX. No templates, no signup, no setup. When you need to run this on hundreds of documents, the same engine is available through the Talonic API.
FREQUENTLY ASKED QUESTIONS
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