Klippa
Dutch document AI with the strongest Spain story, including Spanish e-invoicing formats.
- EU hosting in Amsterdam by default
- Supports Spain's e-invoicing requirements
- Full Spanish-language site and support
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Stop retyping documents into your software.
Somewhere in your company, a person is reading numbers off a PDF and typing them into software. Every day. AI document extraction reads invoices, delivery notes and orders, checks them, and books the data into your systems. This guide covers how it works, the serious platforms, and when to buy versus build.
- Secondsper document, not minutes
- Any formatPDF, scan, photo, email
- Checkedhumans review only doubts
- Bookedinto the software you use
What AI document extraction is
AI document extraction reads business documents the way your team does: it finds the supplier, the dates, the line items and the totals, whatever the layout. Unlike the OCR of ten years ago, it does not need templates per supplier. It extracts the data, validates it against your rules, and pushes it into your accounting system or ERP.
01
Documents arrive as they always have
Emailed PDFs, scans, photos of delivery notes. Forwarded to one address or picked up automatically.
02
The AI reads and structures them
Supplier, number, dates, lines, taxes, totals. New layouts included, no template building.
03
Rules check the result
Totals must add up, the supplier must exist, the PO must match. Only documents that fail a check wait for a human.
04
Data lands in your system
Booked into your accounting software or ERP with the original attached, ready for approval.
When this solution makes sense
A good fit if
- Someone spends hours a week keying invoices or delivery notes
- Documents arrive from many suppliers in many formats
- Month-end drags because paperwork piles up unprocessed
- Typos in amounts or references keep causing downstream pain
- Your accounting software or ERP can receive the data
Probably not yet if
- Document volume is a handful a week
- Your suppliers already send structured e-invoices your software ingests
- The documents are exotic and the receiving system is a spreadsheet nobody owns
- There is no process for handling exceptions once found
What changes
Data entry stops being a job
The hours spent retyping become minutes reviewing flagged exceptions.
Faster, calmer closes
Documents are processed the day they arrive, so month-end stops being an archaeology dig.
Fewer expensive typos
Machines do not transpose digits. Validation rules catch the rest before it hits the books.
A searchable archive for free
Every document is stored, structured and linked to its entry, which your next audit will appreciate.
What teams use it for
- Supplier invoices into accounting
- Delivery notes matched to orders
- Purchase orders into the ERP
- Expense receipts from employees
- Bank statements for reconciliation
- Customs and transport documents
The established platforms
These platforms lead the category, from budget tools to enterprise suites.
Mindee
French API-first document parsing with an explicit EU processing zone.
- Cheapest verified entry price in the category
- EU-only processing selectable for GDPR comfort
- Clean APIs developers genuinely like
Nanonets
AI workflows around document capture, with broad accounting and ERP connectors.
- Handles the workflow after extraction, not just the reading
- EU data residency available
- Free credits to prove it on your documents
Parseur
AI email and document parser with a genuine free tier, hosted in the EU.
- Free for low volumes, forever
- EU servers and a Spanish site version
- Plays well with Zapier, Make and accounting exports
Rossum
The category leader for transactional documents at serious volume.
- Built for accounts-payable teams end to end
- Validation workflows your finance team will trust
- EU data residency in Frankfurt
Off the shelf or custom?
When a platform is enough
For standard invoices and receipts flowing into mainstream accounting software, the platforms above are mature and fast to adopt: forward the documents, map the fields, go. If your documents are common formats and your destination is a system they connect to, buy.
When custom wins
Custom wins when the documents are unusual, the destination is not on anyone's connector list, or the rules between them are yours alone: matching delivery notes against orders in a legacy ERP, Spanish gestoría workflows, industry documents no template covers. It also wins when volume pricing on a platform overtakes the cost of owning the pipeline.
Where Sabemos fits
Custom build
We build extraction pipelines around your documents and your systems: the formats you receive, your validation rules, your ERP or accounting setup, with humans reviewing only what the AI is unsure about. Spanish documents handled natively, EU hosting when you need it.
Setup and onboarding
Prefer a platform? We choose the right one for your document mix, connect it to your accounting software, configure the validations and exception flow, and train your team, measured on documents processed without a human touch.
Frequently asked questions
How accurate is it really?
On clean, common documents, very. On poor scans and unusual layouts, less. The design answer is confidence thresholds: the AI books what it is sure of and asks a human about the rest, so accuracy of the books stays at one hundred percent.
Does it work with Spanish invoices and formats?
The serious platforms handle Spanish documents well, and some support Spain's e-invoicing formats specifically. If you deal with facturas, ask exactly that question during any trial.
Can it push into my accounting software?
Mainstream systems have connectors on most platforms. Anything less common connects by API or export, which is exactly the gap a custom integration closes.
What about GDPR and where documents are stored?
Several category leaders offer EU hosting or EU-only processing, and it is a fair requirement to demand. Where documents are sensitive, a custom pipeline in your own environment removes the question entirely.
How long until it pays for itself?
Count the hours currently spent keying and chasing errors, then compare with a subscription of tens to a few hundred euros a month. At even part-time data-entry volumes, months, not years.