# AI document OCR and data extraction

https://seo7.es/en/servicios/inteligencia-artificial/ai-ocr-parsing  
Updated: 2026-10-05

*AI & automation*

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.

- **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.

## 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 and we reply within 24-48 hours.

Here we explain 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.

1. Document arrives in the system: via email, upload form or API from your application.
2. Pre-processing: image is straightened, contrast is enhanced, multi-page PDF is split into sheets.
3. OCR engine extracts the text layer from the image or PDF.
4. LLM parser analyses the text, determines document type and extracts structured fields.
5. Validation: date formats, amounts and tax IDs are checked; uncertain fields are flagged for review.
6. Final JSON with all fields is pushed via API to the target system: CRM, spreadsheet, ERP.
7. An employee is notified only for documents where the model confidence is low.
8. Feedback loop: corrected documents fine-tune the model on your templates.

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

### 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 types, fields and integrations**

| Document type | What we extract | Where data goes |
| --- | --- | --- |
| Invoice | Number, date, supplier, tax ID, amount, VAT, line items, due date | CRM, ERP, accounting, Google Sheets |
| Delivery note | Number, date, sender, recipient, line items, quantity, weight | Warehouse system, ERP, control sheet |
| Contract | Parties, subject, terms, amount, key conditions, details | CRM, document base, deadline notifications |
| Receipt / cash document | Date, store, items, total, payment method | Expense 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

> What eats most time in a company is documents nobody can find or count. Recognition pays for itself on the first stream of paperwork where someone used to sit copying data across.
>
> Evgenii Slepinin, Founder · Systems Architect · Lead Developer. Source: https://seo7.es/es/about

## 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 and we will prepare your "AI & automation" plan and estimate within 24-48 hours.

## Frequently asked questions

### What is AI document recognition in simple terms?

It is a technology that reads a document (PDF, photo, scan) and extracts data from it in structured form: invoice number, date, amount, counterparty. Data flows automatically into the CRM or spreadsheet without any manual entry. The employee checks only what the system has flagged as doubtful.

### How does AI OCR differ from traditional OCR?

Traditional OCR simply converts an image to text without understanding structure. AI OCR based on LLM additionally understands context: it identifies the document type, locates fields by meaning and returns a JSON with the required values. That is why one scenario handles invoices from different suppliers without a separate template for each.

### What is the accuracy of AI document parsing?

On standard documents (invoices, delivery notes, typical contracts) accuracy is 95-99%. Non-standard or poorly scanned documents are automatically flagged and sent to an employee for verification. Accuracy on your documents is measured on a test sample before launch, and we give you an honest figure.

### Which file formats are supported?

PDF (text and scanned), JPEG, PNG, TIFF, HEIC (phone photo), DOCX. Multi-page PDFs are split into sheets automatically. Incoming documents are received via email, upload or API. If documents arrive in one mailbox, we connect it directly and nothing needs forwarding.

### How does document data get into the CRM or ERP?

After parsing, the system creates a JSON and sends it via API to the target system: creates a record in the CRM, a row in the spreadsheet or an entry in accounting. We integrate with popular CRMs, Google Workspace, Bitrix24 and other API-enabled systems.

### Is it safe to pass financial documents through AI?

Yes, when set up correctly. Data is transmitted over encrypted channels, stored on EU servers and access is logged. We configure the system so documents do not leave your perimeter, or use only GDPR-certified cloud services. Which option suits you is decided during the document flow audit.

### Can documents in Russian, Spanish and English be processed?

Yes. Modern LLM models work well with Russian, Spanish and English documents. Other languages can also be added; it is configured at the prompt level. Documents with mixed languages, such as a Spanish invoice with English product names, are also parsed correctly.

### What if the document comes from a low-quality scan or poor lighting?

For difficult cases pre-processing can be added: deskewing, contrast enhancement, sharpening. The LLM also helps interpret partial or blurry data. Critically poor scans are flagged for manual review. The employee sees such a document in a separate queue together with whatever the system managed to recognise.

### In which languages do you run the project?

We run the project in Russian, Spanish and English, the studio's three working languages. We deliver documentation and instructions in your preferred language, and support too. The prompts and parsing rules are also written in your team's language, so they can be adjusted without us.

### What is included in the implementation price?

Document flow audit, OCR and LLM parsing setup for your document types, integration with target systems, testing on real data, team instructions and launch support. AI platform subscriptions are paid separately at their own rates. We state the subscription costs before the start so the full budget is visible.