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AI & automation

AI document OCR and data extraction.

Any format

PDF, photo, scan, Word — AI reads the document regardless of template or scan quality.

Structured data

Output is a JSON with fields: number, date, amount, counterparty, line items. Ready for CRM and accounting.

No more manual entry

Document data reaches CRM, Google Sheets or ERP without any employee involvement.

Live in 1–3 weeks

We connect parsing to your document flow via API and deliver a working system turnkey.

Invoices, delivery notes, contracts and PDFs become structured data and flow automatically into your CRM, spreadsheets and accounting.

LLM-based OCR reads any document format — scan, photo, PDF, Word — and returns a JSON with all required fields. API integration pushes data into your system with no manual entry. Live in 1–3 weeks.

Quick answer

AI document recognition (OCR + parsing) automatically extracts structured data from invoices, delivery notes, contracts, receipts and PDFs. An LLM model reads any document format and returns a JSON with the required fields, which via API flow straight into your CRM, spreadsheets or accounting system. Most corporate data exists in unstructured form; AI recognition turns it into usable structured data. A pilot launches in 1–3 weeks. Request a quote — we reply within 24–48 hours.

This page explains AI document recognition and automatic data extraction (OCR + parsing) for businesses across Spain. We cover how it works with real document types — invoices, delivery notes, contracts, receipts, PDFs and photos — how data reaches your CRM, spreadsheets or ERP, and what it means to move from manual entry to a fully automatic flow. By AI OCR we mean not just text recognition but the full cycle: receiving the document (email, upload, API), extracting structured data with an LLM, validating fields and pushing the JSON to the target system. Below you will find the step-by-step process, a table of document types, the IDC expert assessment, 10 common questions, our "AI & automation" packages and related services.

How does AI document recognition and parsing work?.

Full cycle: from document receipt to JSON in your system

Classic OCR reads text character by character and fails on non-standard templates or poor scans. LLM-based AI parsing understands context: it identifies whether it is an invoice, contract or delivery note, locates fields by meaning and returns a structured JSON. The result integrates via API into your CRM, Google Sheets, ERP or accounting system. Accuracy on standard documents is 95–99%; complex cases are routed to human verification.

AI OCR document recognition: invoice converted to structured JSON data
OCR + LLM parsing: document arrives, data flows to CRM with no manual entry.
  1. 1Document arrives in the system: via email, upload form or API from your application.
  2. 2Pre-processing: image is straightened, contrast is enhanced, multi-page PDF is split into sheets.
  3. 3OCR engine extracts the text layer from the image or PDF.
  4. 4LLM parser analyses the text, determines document type and extracts structured fields.
  5. 5Validation: date formats, amounts and tax IDs are checked; uncertain fields are flagged for review.
  6. 6Final JSON with all fields is pushed via API to the target system: CRM, spreadsheet, ERP.
  7. 7An employee is notified only for documents where the model confidence is low.
  8. 8Feedback loop: corrected documents fine-tune the model on your templates.

Which documents does AI parsing support and what exactly is extracted?.

AI data extraction from invoices and delivery notes into CRM and spreadsheets
A stack of documents in different formats processed automatically in seconds.

From invoices and delivery notes to contracts and PDF forms

LLM parsing is not tied to a specific template: the model understands the document by meaning, not by field position on the page. This means the same tool works with invoices from different suppliers, delivery notes in different formats and contracts with arbitrary structure. Below are the typical document types, the fields we extract and where the data goes.

Document typeWhat we extractWhere data goes
InvoiceNumber, date, supplier, tax ID, amount, VAT, line items, due dateCRM, ERP, accounting, Google Sheets
Delivery noteNumber, date, sender, recipient, line items, quantity, weightWarehouse system, ERP, control sheet
ContractParties, subject, terms, amount, key conditions, detailsCRM, document base, deadline notifications
Receipt / cash documentDate, store, items, total, payment methodExpense tracking, Google Sheets, accounting

Why are unstructured data the main business problem and how does AI solve it?.

80–90% of corporate data cannot be used without AI recognition

Most business data exists as documents: emails, invoices, scans, PDFs, photos. They contain valuable information but are not accessible for automatic processing — they must be read manually or retyped. AI recognition (OCR + LLM parsing) turns these unstructured sources into structured data suitable for analysis, CRM integration and decision-making.

Expert opinion

«According to IDC, approximately 80–90% of corporate data is unstructured — documents, emails, scans. AI recognition converts them into structured data suitable for business processes.»
IDC (International Data Corporation) — Data and content market research: share of unstructured data. Source

In short

In short: how AI document parsing changes data work.

AI document recognition (OCR + LLM parsing) automatically extracts structured data from invoices, delivery notes, contracts, receipts and PDFs, and pushes it via API into your CRM, spreadsheets or ERP. Accuracy on standard documents is 95–99%; atypical cases go to human verification. Most corporate data lives in unstructured formats — documents, emails, scans — and AI processing turns it into usable structured data. A pilot launches in 1–3 weeks and pays back through hundreds of hours saved per year. Request a quote — we will prepare your "AI & automation" plan and estimate within 24–48 hours.

AI and automation

AI automation

n8n, Make, GPT-API, voicebots, document OCR. Set it up once — frees your team 4–8 hours every week.

Implement once — saves hours every day. All prices include 21% VAT.

First automations in 7–14 days

SEO7 Start

from€590

3–5 ready automation scenarios on n8n/Make. For example: 1) AI sorts Gmail emails into a sheet + Telegram alert; 2) website lead → AI qualifies it → CRM record + WhatsApp reply to the client; 3) client voice message → transcript → Trello task. First result in 2 weeks.

à la carte
€990−€400
Timeline
7–14 days
  • 3–5 ready n8n/Make scenarios
  • AI consulting + strategy
  • Automation audit
Top

AI employees work for you

SEO7 Pro

from€1790

Smart AI scenarios with GPT + marketing and reviews automation. Generative content engine. AI agent handles sales. Implement once — saves hours every day.

à la carte
€2690−€900
Timeline
14–30 days
  • Smart AI scenarios with GPT
  • Marketing and reviews automation
  • Generative content engine
Pro

Your own AI on your server

SEO7 Max

from€3490

AI employees (sales agents) + local LLM on your server + AI avatar for presentations. Data never leaves the company. Full independence from OpenAI.

à la carte
€4990−€1500
Timeline
30–60 days
  • AI employees — sales agents
  • Local LLM on client server
  • AI avatar for presentations

All prices include VAT (21%).

Shall we discuss your project?

A short brief — we’ll come back with a plan and quote within 24–48 h. No pressure.

Frequently asked questions.

Related links.