
Using LLM and OCR, extract key data from your supplier contracts to better anticipate renewals, manage risks and identify cost savings opportunities
Case study
Last update:
May 9, 2025
5 minutes
Learn what OCR (Optical Character Recognition) is, how the technology works, and how it can transform paper or digital documents into actionable data. From finance to human resources to logistics, OCR is now finding concrete applications in many sectors. This article also explores the benefits of next-generation OCR solutions, powered by artificial intelligence, like Koncile.
We simply explain to you the essentials of OCR, its concrete uses and its advantages.
OCR means Optical Character Recognition. One OCR tool is a technology for converting text documents into input. This includes documents that are printed, handwritten, or scanned. OCR software analyzes the various visual components of these documents (PDF, images or scans, for example) and deduces the characters from them to reconstitute a machine-readable file, in the form of structured text.
An OCR system is based on this set of technologies:
Computer Vision: Computer vision to analyze the image and identify text shapes, lines, and characters.
Natural Language Processing: Natural language processing to understand the context of the text and its information of interest. For example, the system needs to understand that a string of characters is a date, name, or amount in the context of the document and how to respond accordingly.
The OCR process is generally as follows:
Some modern solutions such as new accounting software Koncile adds a layer of artificial intelligence for data validation, line-by-line context extraction, detection of errors, errors, inconsistencies, duplicates, or other anomalies.
OCR is used in many sectors, with very varied use cases:
Thanks to modern OCRs, these once manual tasks are becoming automated, fast, and reliable, with a strong impact on productivity.
Using OCR in your business processes allows you to:
In a professional context, an OCR makes it possible to transform an administrative burden into a lever for efficiency.
Classic OCR is limited to detecting and converting plain text. It makes no contextual distinction, does not understand the extracted data, and cannot structure it accurately.
Conversely, an OCR powered by artificial intelligence (AI), like Koncile, is capable of:
AI OCR doesn't just extract: it interprets, controls, and values data.
Before choosing OCR technology, ask yourself the right questions:
A good OCR solution should be:
✔️ Simple to integrate
✔️ Reliable on all types of documents
✔️ Customizable according to business needs
✔️ Scalable and AI-compatible
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