Extract invoice data from PDFs to JSON with Gemini AI and XML transformation

Name: Extract invoice data from PDFs to JSON with Gemini AI and XML transformation
Availability: InStock
Rating: 4.5 (99 reviews)
Author: Mauricio Perera

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This n8n workflow converts invoices in PDF format into a structured, ready-to-use JSON, using AI and XML transformation — without writing any code.

🚀 How it works

Upload form → The user uploads a PDF file.
Text extraction → The PDF content is extracted as plain text.
XML schema definition → A standard invoice structure is defined with fields such as:
- Invoice number
- Customer and issuer details
- Items with description, quantity, and price
- Totals and taxes
- Bank account details
AI (Gemini) → The model rewrites the PDF text into a valid XML following the predefined schema.
XML cleanup → Removes extra tags, line breaks, and unnecessary formatting.
JSON conversion → The XML is transformed into a clean, structured JSON object, ready for integrations, APIs, or storage.

✨ Benefits

Transforms unstructured PDFs into normalized JSON data.
No coding required, only n8n nodes.
Scalable to different invoice formats with minimal adjustments.
Leverages AI to interpret complex textual content.

🛠️ Use cases

Automating invoice data capture.
Integration with ERPs, CRMs, or databases.
Generating financial reports from PDFs.

Mauricio Perera

0 workflows

Nodes

set gmail telegram agent google-gemini

Complexity

intermediate

Published 11 Sept 2025

Likes 0

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