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Services / Automations / Documents

Automatic document extraction

Invoices, orders, contracts, scanned PDFs — read and pushed into your tools without double entry.

The problem

Inside an SME, double data entry is everywhere. A supplier invoice arrives as a PDF. Someone reads it, clicks into the accounting tool to enter it, files the original, archives the email. 3 to 5 minutes per document.

Across a month, that adds up to whole days of low-value work. Plus entry errors and delays that strain supplier relationships.

Automatic extraction reads any document — clean PDF, phone photo, crumpled scan — pulls out structured data and pushes it directly into your tool.

How it works
Step 01

Collection

Dedicated mailbox, shared folder, WhatsApp drop-off, multifunction scanner — all work.

Step 02

Recognition

OCR + AI vision to read invoices, orders, contracts, whatever the layout.

Step 03

Structuring

Extraction of useful fields: supplier, amounts, dates, invoice number, VAT, references.

Step 04

Injection

Direct push into Pennylane, Sage, Cegid, Airtable, or any tool with an API.

Three variants

Same service, three profiles, three stacks

Accounting firm

Clients who send their supplier invoices in bulk. 300 to 800 documents per month and per portfolio.

Claude VisionPythonPennylane APIMistral OCR
Result

Reliable pre-entry at 95%. The accountant only handles exceptions, codes and validates the rest.

Industrial foundry · 120 staff

Purchase orders received by mail, fax, EDI. About twenty different formats depending on the customer.

Azure Form RecognizerNode.jsSAP B1RabbitMQ
Result

Manufacturing orders created automatically in the ERP. Receipt-to-production lead time divided by 3.

Town hall · 3,000 inhabitants

Supplier invoices, orders, deliberations to integrate into the Berger-Levrault tool.

OpenAIPythonBerger-Levrault APIPostgres
Result

Entries reviewed by the finance officer at end of day, payment order ready.

What it changes
  • Processing one invoice: 4 minutes → 10 seconds of human validation.
  • Entry error rate divided by 10: AI does not tire by month-end.
  • Works on imperfect scans, smartphone photos, generated PDFs and scanned PDFs.
  • Measurable ROI in 2 to 4 months depending on volume.