I will automate invoice data extraction and validation with python and ai

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steveb29
S
steveb29
Steve B

About this gig

Your supplier invoices arrive as PDFs, scans and phone photos, in a dozen layouts. Someone retypes them by hand.

I build the pipeline that does it for you, and that tells you when it is not sure.

HOW IT WORKS

The language model reads the document and extracts the fields. The code then applies your validation rules: totals consistent, VAT correct, supplier known, invoice number not duplicated. Anything failing a check is flagged for review with the exact reason. You never get a wrong value presented as reliable.

WHAT YOU GET

  • Full Python source code, yours to keep
  • A validation report for every batch
  • Output as CSV, JSON, Excel or your database

EUROPEAN INVOICING

I handle native PDFs, scans and structured Factur-X, and can read or generate Factur-X for the French e-invoicing reform. I am not an approved platform (PDP): I work upstream and downstream of yours. Processing can run on a self-hosted model, with no data leaving your infrastructure.

BACKGROUND

Ten years in IT operations before going independent, including automating production batch chains on enterprise schedulers.

Send me 2-3 anonymised invoices before ordering. I will tell you within the hour if it is feasible.

Get to know Steve B

Steve B

Developpeur independant et Automatisation documentaire

  • FromFrance
  • Member sinceAug 2026
  • Avg. response time1 hour
  • Languages

    French
Développeur Python indépendant, basé en France. Je construis des pipelines qui extraient et contrôlent des données dans des documents non structurés : factures, devis, bons de commande, PDF fournisseurs. Mon principe : le LLM extrait, le code décide. L'IA lit le document, mais les règles de validation restent déterministes et auditables. Toute donnée incertaine est signalée, jamais devinée. Stack : Python, n8n, APIs LLM, Factur-X, PostgreSQL. Vous repartez avec le code source documenté, sans dépendance à moi. Réponse sous 12 h, en français ou en anglais.