Mistral Ai intros Advanced ai propelled ocr
French AI startup Mistral ai Announced Mistral OCR, an advanced optical character recognition API (OCR) designed to convert the printed and scanned documents to digital files with “unprecedented precision”. By focusing on multilingual support and complex documents, Mistral OCR aims to surpass the existing solutions of Microsoft and Google, said the company.
Millions of printed documents and not related PDFs remain locked in archives, legal files and historical benchmarks, the company noted in a blog job. And although the traditional OCR software is competent in the extraction of the raw text, it often fights with complex provisions, such as tables, mathematical equations and non -Latin scripts. Mistral OCR was designed to meet these challenges, said the company, with precision rates between 97.00% and 99.54% in 11 languages.
The OCR of Mistral aims to differentiate itself with several characteristics:
- Multilingual and multimodal processing: The API supports various scripts and documents of documents, aimed at global companies.
- Extraction of structured data: he does not say that the basic OCR solutions, Mistral OCR retains the hierarchy of documents, including titles, paragraphs and tables, guaranteeing better conviviality for workflows focused on AI.
- Match and table recognition: Technology excels in digital documents with mathematical formulas and complex tables, surpassing competitors like Google Document AI and Azure OCR.
- Integration with large language models (LLMS): Mistral OCR improves the understanding of documents by allowing requests based on AI and content interaction.
- High -speed treatment: capable of managing up to 2,000 pages per minute, the API is well suited to large -scale business applications.
For organizations dealing with large documents of documents, Mistral OCR offers five notable capacities:
- Operational efficiency: by automating data extraction, companies reduce manual contributions, rationalization of workflows in the finance, health care and health sectors.
- IA -focused information: decision -makers can take advantage of the text extracted for analysis, contract management and business.
- Improved security: with on -site deployment options, companies can process sensitive data while retaining strict compliance standards.
- Transparent integration: support for structured outings like JSON and Markdown, Mistral OCR easily integrates into existing business systems.
- Competitive advantage: organizations adopting the OCR fueled by AI earn a strategic advantage by making the unstructured data more accessible and usable.
Mistral OCR is accessible via The placeformThe continuation of developers of Mistral, and the company declared that it would soon extend to the partners of clouds and inferences. The pricing model offers 1,000 pages per $ 1, with an inference per lots allowing 2,000 pages per $ 1. Users can test the API on the cat, the AI conversational platform of Mistral, before complete integration.
Mistral OCR represents a significant step forward in the digitization of documents, said the company, taking advantage of AI to improve understanding beyond simple text recognition. With continuous improvements and business adoption, Mistral aims to define a new reference to the industry for the processing of documents based on AI.
“Since the Foundation of Mistral, we have succeeded in serving the world with our models and, therefore, we strive by multilingual capacities in our offers,” said the company in its ad. “Mistral OCR carries this at a new level, being able to analyze, understand and transcribe thousands of scripts, policies and languages on all continents. This versatility is crucial for the two global organizations that manage documents from various linguistic horizons, as well as hyperlocal companies serving the niche markets.”
For more information, read the Mistral blog.
About the author
John K. Waters is the editor of a number of Converge360.com sites, emphasizing high -end development, AI and Future technology. He has written on advanced technologies and the culture of Silicon Valley for more than two decades, and he wrote more than a dozen books. He also co-wrote the documentary film Silicon Valley: a 100 -year rebirthwhich was broadcast on PBS. It can be reached at [email protected].
