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How to Accurately Classify Documents with Intelligent OCR? A Concrete Use Case on ID Documents
Case study
Last update:
April 16, 2025
5 minutes
The performance of an OCR is no longer measured only by its ability to extract text. In 2025, needs are changing: personalization, integration, compatibility with business documents, or even the automation of processing have become essential.
Compare 4 OCRs according to your business uses, types of documents, API integration, customization and business logic.
In this article, we compare 4 solutions — Koncile, Nanonets, Klippa and Readiris — by analyzing what really makes the difference according to your uses, document flows and existing systems.
📌 To remember : Only Koncile natively manages complex and multi-domain business documents.
📌 To remember : Koncile is the only one to offer a no-code interface + complete API + structured multi-format export.
📌 To remember : If you have complex documents or business logic (supplier invoices, contracts, etc.), Koncile is the only truly configurable solution.
📌 To remember : Koncile is not only an OCR, it is also a control and decision-making tool.
👉 Are you looking for a simple OCR to scan a few documents? Tools like Klippa or Readiris may suffice.
👉 Looking to automate, To control, and structuring your large-scale document flows (finance, logistics, HR, health...)?
Koncile stands out as a complete OCR platform, designed for advanced business use cases.
🎯 Test Koncile for free on your documents here:
👉 Create a demo account
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