Mistral AI vs ChatGPT: reliable OCR ?
Last update:
March 14, 2025
3 minutes
Mistral AI vs ChatGPT Precision, speed, reliability... Find out which model best extracts text from documents!
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At Koncile, we are always looking for the latest advances in the field of visual language models (VLM) and we regularly put these new technologies to the test to better understand their limits in real conditions. It is in this dynamic that we have developed our own OCR powered by AI, in order to offer a more accurate and reliable solution for extracting complex data.
Today, Mistral AI unveiled its brand new OCR model, which they present as being at the cutting edge of technology (SOTA), based on as yet unpublished benchmarks. As is often the case, excitement quickly took over the internet. The model found itself at the top of discussions on Hacker News, and many users immediately claimed that extracting text from PDFs was now a problem solved once and for all.
It is with this in mind that we chose to evaluate Mistral OCR, by comparing it with GPT chat, another major player in the world of artificial intelligence. Although Mistral claims 94.9% accuracy for its OCR and other reports suggest that ChatGPT achieves similar scores (89.77%), our tests revealed a significant gap between this theoretical performance and the real results obtained on our own data set.
Performance of Mistral.Ai on invoices
We analyzed a typical invoice using Mistral's new OCR model.
Here is the data extraction legend:
- Types of errors: This column describes the various categories of errors that the tool made when extracting data from the invoice. A distinction is made between:
- Missing data: This is information that should have been extracted from the document but was not detected by the tool.
- Misplaced data: This refers to data that has been extracted but assigned to the wrong category or location in the tool output.
- Incorrectly transcribed data: This category includes errors where the tool extracted data but transcribed it incorrectly (for example, misrecognized numbers or letters).
The results are shown below.
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Here is the legend of the reliability table:
- Number of errors: This column shows the number of times each type of error was encountered during the analysis of the invoice.
- Percent error (%): This represents the percentage of each type of error in relation to the total number of data to be extracted.
- Reliability (%): This column indicates the reliability of the tool, that is, the percentage of data that was extracted correctly.
In summary, this legend gives us a clear overview of the types of errors the tool makes, how common they are, and how they impact overall reliability.
Mistral.Ai performance chart on invoices :
📌 Overall reliability rate: 63.75%
ChatGPT performance 4.5 On Invoices
So we also analyzed a standard invoice using the ChatGPT template.
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The results give us a clear overview of the types of errors the tool makes, how common they are, and how they impact overall reliability.
ChatGPT performance chart on invoices :
📌 Overall reliability rate: 57.5%
Conclusion
Mistral AI vs ChatGPT — Performance below expectations... and a better alternative?
Despite Enticing Promises, Our Test Revealed That Neither Mistral AI (63.75% reliability) nor ChatGPT (57.5%) really keep their commitments in terms of OCR.
📌 Mistral AI excels at pure transcription (98.75% accuracy On the transcript), but suffers from 27.5% missing data.
📌 ChatGPT, on the other hand, positions data perfectly, goal Loses even more essential information (42.5% missing data).
🔍 The observation is clear: neither model guarantees reliable and complete data extraction, especially for complex documents such as invoices.
Koncile, the boosted OCR alternative to AI
Chez Koncile, we designed a Next Generation OCR, combining Extraction accuracy And Intelligent understanding of documents. Thanks to our Optimized Artificial Intelligence, we Let's drastically reduce errors And guarantee Accurate Extraction, Even on Non-Standardized Documents.
💡 Why choose Koncile OCR?
Higher reliability Thanks to a model designed to minimize errors
Fewer missing data and better structuring of information
Adapted to complex documents Such as invoices, contracts, and reports
Jules leads product development at Koncile. He has been interested in business process automation for years, as well as the real-world applications of LLMs in daily operations.
In this article
Resources
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OCR Software Comparison: 6 Key Features to Consider Choosing the best OCR solution for your needs can be overwhelming. This guide highlights essential features to compare data extraction tools, especially for invoices, bank statements, and forms. Learn about accuracy, speed, ease of use, flexibility, and budget considerations before making your decision.
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Quickly learn how to transform your documents containing tables, line-by-line data, or other complex structures into spreadsheet or Excel-ready data. Convert unstructured information into organized and actionable data.
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This article presents the deployment of electronic invoicing in Europe.
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