Mistral OCR: Intelligent automation for companies

Companies have been generating and receiving more and more volumes of physical and digital documents for years. Automating their processing is not just an operational improvement, it is a necessity to compete.

OCR or Optical Character Recognition is constantly evolving, and Mistral OCR is a new generation of this technology, powered by AI. We will tell you all the details and how it could help your business!

Mistral OCR has positioned itself ahead of the rest of OCR, as it is not only an optical character recognition tool, but an advanced AI system capable of understanding complex, multilingual, and multimodal documents with structured results that seamlessly integrate with retrieval and augmented generation (RAG) systems.

It stands out for its ability to understand complex document elements such as embedded images, mathematical expressions, tables and advanced layouts such as LaTeX formatting. The model enables deeper understanding of complex documents, such as scientific articles with graphs, tables, equations and figures.

Approximately 90% of organizational data is contained in documents, so extracting structured information from PDF files, scanned images, and handwritten text has become a major challenge.

Mistral OCR sets a new standard for document understanding, providing unmatched accuracy in extracting text, tables, equations, and multimedia.

Its main advantages are:

• High accuracy in complex conditions (blurred documents, handwritten documents, forms with tables).
• Optimized multilingual recognition.
• Supports thousands of scripts, fonts, and languages in global and local dialects.
• Low computational consumption compared to other similar models.
• Easy custom training with specific business data.
• Can accurately handle scientific articles, legal documents, financial reports, and historical files.
• Processes 2000 pages per minute per node, making it ideal for high-throughput document processing.

In fact, when compared to other OCR models, Mistral achieves the highest accuracy in multiple document processing challenges:

Mistral OCR use cases reach various sectors, such as finance, legal, logistics, customer service, and human resources, among others.

• Science: converts complex scientific articles, research journals, and mathematical formulas into AI-compatible formats, accelerating literature reviews, research automation, and knowledge discovery.
• Cultural: digitizes ancient manuscripts, historical texts, or handwritten archives, ensuring linguistic diversity and heritage preservation.
• Finance and legal: automates the entry of invoices and accounting vouchers, as well as the digitization of contracts and legal documentation, streamlining the most tedious processes and saving professionals a lot of time.
• Education: makes lecture notes, presentations, and academic materials fully indexable and ready to respond. This translates into personalized learning experiences through OCR-driven intelligent assistants.
• Logistics: extracts data from packing slips, labels, and shipping forms, streamlining paperwork.
• Customer service and HR: also capable of analyzing paper forms and surveys, as well as processing scanned CVs and employee documents.

Despite its high capabilities, it is not designed for all use cases, especially when it comes to business-critical document processing.

For this reason, there are some limitations to be taken into account when using this system:

• May incur hallucinations and misinterpretations: common in other LLM-based models, it not only extracts text, but sometimes adds, deletes or modifies words.
• No built-in data validation: Mistral OCR does not validate the extracted information, so it may misread numbers, mix up names, or parse tables incorrectly.
• No fraud detection or compliance features: It has no mechanism to detect document fraud or authenticity, so it will not flag altered documents, forged signatures, or manipulated invoices.
• No integrated document classification: It does not offer any document classification capabilities, which means that companies have to build an additional system to organize files after extraction, which may involve additional costs.

Mistral OCR not only reduces time and human error, but also allows you to transform static documents into digital assets useful for decision making, automation, and analytics. But you have to understand how to use it and its limitations.

Therefore, adopting it means betting on a more agile, accurate and future-proof infrastructure. At Plain Concepts we can help you, as we specialize in helping our clients design your strategy, protect your environment, choose the best solutions, close technology and data gaps, and establish rigorous oversight to achieve responsible AI. You can achieve rapid productivity gains and build the foundation for new business models based on hyper-personalization or continuous access to relevant data and information.

We have a team of experts who have been successfully applying this technology in numerous projects, ensuring the security of customers. We have been bringing AI to our clients for more than 10 years, and now we propose a Framework for the adoption of generative AI:

• Unlock the potential of end-to-end generative AI.
• Accelerate your AI journey with our experts.
• Understand how your data should be structured and governed.
• Explore generative AI use cases that fit your goals.
• Create a tailored plan with realistic timelines and estimates.
• Build the patterns, processes, and teams you need.
• Deploy AI solutions to support your digital transformation.