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Courses/AI for small businesses and freelancers/Invoices: extract data and review

Invoices: extract data and review

Invoices are one of the best use cases for AI in the office: extraction, review, and organization. But don't let the model decide on taxes or final accounting without supervision.

  • Convert invoices into structured data.
  • Detect missing or inconsistent fields.
  • Prepare a CSV that a person can review.
Terminal
Return ONLY valid JSON with this structure:
{
  "numero_factura": "",
  "fecha": "",
  "emisor": "",
  "nif_emisor": "",
  "cliente": "",
  "base_imponible": 0,
  "iva": 0,
  "total": 0,
  "vencimiento": "",
  "alertas": []
}

If data is missing, leave the field empty and add an alert.

Useful automatic checks

  • Total = base + VAT - withholdings, if applicable.
  • Date and due date have a consistent format.
  • NIF/CIF is not empty.
  • Supplier already exists or is marked as new.
  • High amounts require manual review.
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Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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