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Large language models work with especially raw text. Companies who want to create a AI workflow know that this information was extremely important to keep and index data in a clean format for re-use this information for AI processing.
Therefore Mistral A new API is launched for developers managing comprehensive PDF documents. Mistral OCR An optical character recognition API that can convert any PDF to a text file.
Unlike most OCR API, the Mistral OCR is a multimodal API that can detect when the Multimodal API, the meaning and photographs mixed with text blocks. OCR API creates shutdown boxes around these graphic elements and includes access.
Similarly, the Mistral OCR just does not take out a large wall of text. The output, developed links, headlines and other formatting elements are formatted in the formatting syntax that used to add to a text file.
Large language models rely on Markdown for training data sets. Similarly, when using the Mistral Le Chat or Openai’s Chatgpt, you often have a brand to create bullet lists, add links or make some elements bold. Assistant applications Format the brand access to a necessary text output. So raw text – and Markdown – it was more important in recent years.
“Over the years, organizations have collected a large number of documents, often in PDF or slide formats. Mistral OCR can convert rich and complex documents to the content read in all languages.
“This is an important step towards the widespread use of AI’s assistants in companies that need to be facilitated in large internal documents.”
Mistral OCR is available through the Mistral’s own API platform or cloud partners (Azur, Azure, Google Cloud vertex, etc.). The Mistral offers separate placement for companies that are classified or sensitive to sensitive data.
According to AI, the Mistral OCR performs better than API from Google, Microsoft and Openai. The company tested the OCR model with complex documents that include mathematical expressions (latex formatting), advanced plans or tables. It is believed that it is better to perform with non-English documents.
Given the fact that the Mistral OCR is only one thing and something, the company believes that it is faster than there is there. If you compare a multimodal large language model like GPT-4O, OCR opportunities (among) too Other features).
Mistral also uses Mistral OCR for its AI Assistant Pussy. When a user uploading a PDF file, the company uses Fistral OCR to understand what is in the document before processing in the text.
Companies and developers are likely to use a dwarf system to use multimodal documents, such as access to an LLM in the Mistral OCR. And there are many cases of potential use. For example, I could use them to use them to pass them from huge documents using them.
