Mistral OCR API

Mistral Introduces New OCR API for Converting Complex PDFs into Text

Mistral launched an Optical Character Recognition (OCR) API, called Mistral OCR, aimed at helping developers work with complex PDF documents. This tool converts PDFs into simple text files, making it easier for AI models to process the data. The API helps streamline the process by turning non-text elements into a more usable format for AI, enhancing the ability to interact with and analyze documents.

Why Clean and Structured Data is Crucial for AI Models?

Large Language Models (LLMs), such as OpenAI's ChatGPT, function best when they work with raw text data. AI models perform more effectively when data is organized in a clean, readable format. This is why companies working on AI systems need to focus on storing and indexing their data in a way that makes it easier for AI models to access and process, ensuring they can use the information for generating insights or tasks.

Below is an example of the model extracting text as well as imagery from a given PDF into a markdown file.

Mistral OCR: A Multimodal Tool for Text, Images, and Graphics

Mistral OCR sets itself apart from traditional OCR tools by being multimodal. This means it can detect not just text, but also images and other graphic elements in a document. It creates "bounding boxes" around these graphical elements, like photos or charts, and includes them in the output, preserving important visual context alongside the text. This feature allows AI models to better understand documents that mix text with visual content.

Formatted Output in Markdown for Easy Integration with AI Models

Instead of just providing a wall of plain text, Mistral OCR outputs the converted content in Markdown format. Markdown is a lightweight text formatting language used by developers to structure text with headings, links, lists, and other elements. Since many AI models (like ChatGPT) use Markdown for organizing content, the ability to format the output in this way makes it easier for AI systems to read and process the text, improving their ability to generate structured and meaningful results.

Mistral OCR Enhances Access to Company Documents

According to Guillaume Lample, Mistral’s co-founder, businesses often have vast amounts of data stored in inaccessible formats like PDFs. Mistral OCR helps by converting these complex documents into readable text that AI models can process, making it easier for companies to access and use their internal documentation. This is particularly important for organizations looking to adopt AI assistants and automate processes using their existing data.

Below we have side-by-side comparisons of PDFs and their respective OCR's outputs. Hover the slider to switch between input and output.

OCR API

API 2

Mistral OCR's Performance, Availability, and Deployment Options

Mistral claims that its OCR tool outperforms similar offerings from Google, Microsoft, and OpenAI, especially when dealing with documents that include complex elements like math equations, tables, or non-English languages. The tool is available through Mistral’s own API platform and can also be accessed through cloud services like AWS, Azure, and Google Cloud. For businesses dealing with sensitive or classified information, Mistral also offers on-premise deployment, providing a secure way to process data without relying on the cloud.