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What is Mistral OCR 3?

Mistral OCR 3 marks a significant advancement in optical character recognition created by Mistral AI, designed to redefine the benchmarks of precision and efficiency in document processing by accurately extracting text, images, and structural components from a wide variety of documents. With an impressive overall win rate of 74% over its previous version, it demonstrates exceptional capabilities in managing forms, scanned files, complex tables, and handwritten notes, outperforming conventional enterprise document processing systems as well as other AI-based OCR solutions. This model supports various output formats, including clean text, Markdown, and structured JSON, while also offering HTML table reconstruction to preserve the layout, enabling downstream systems and workflows to effectively process both content and formatting. In addition, it enhances the Document AI Playground within Mistral AI Studio, allowing for intuitive drag-and-drop functionality for PDF and image parsing, and includes an API to assist developers in optimizing their document extraction workflows. This development not only streamlines the documentation process for businesses but also represents a crucial change in the automation of their workflows, ultimately driving enhanced efficiency and productivity across various sectors. As more organizations adopt this cutting-edge technology, we can expect to see a transformative impact on the way they manage and utilize their documentation.

What is Mistral Large 4?

Mistral Large 4 is a dynamic multimodal language model that can be accessed through Mistral's hosted inference API. It combines abilities such as following instructions, reasoning, and performing agent-like tasks, enabling it to handle images and text at the same time. This model is crafted for developers, allowing them to tackle a wide array of tasks, including chat completions, generating structured data outputs, performing functions, answering questions based on documents, and optimizing workflows with tools. Its applications are extensive, covering areas like conversational AI, assistance in software development, cybersecurity assessments, processes in finance and law, scientific research, data extraction, and the analysis of various document types, such as charts and images. Designed for developers, researchers, and organizations in the public sector, Mistral Large 4 is optimized for the creation of AI-enhanced applications across diverse sectors, including engineering, manufacturing, finance, logistics, and scientific exploration. Additionally, its versatility makes it an excellent choice for both emerging startups and established corporations aiming to harness the power of AI technologies efficiently. As a result, Mistral Large 4 stands out as a robust solution for anyone seeking to innovate and improve their operational processes through AI.

Media

Media

Integrations Supported

Adobe Acrobat Reader
HTML
JSON
Markdown
Mistral AI Studio
Mistral Document AI

Integrations Supported

Mistral AI
Mistral Vibe

API Availability

Has API

API Availability

Has API

Pricing Information

$14.99 per month

Pricing Information

$1.36 per 1M input tokens
Input: $1.36 per 1 million tokens
Output: $4.18 per 1 million tokens
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

docs.mistral.ai/models/mistral-large-4-0

Categories and Features

AI Models

Not specified

OCR

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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