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What is PaperStream?

PaperStream Capture Pro is a sophisticated software tool specifically crafted to transform physical documents and imported digital files into well-organized, searchable digital information suitable for any document management system. It adeptly manages batch scanning using any TWAIN-compatible scanner, whether it's a basic desktop model or a high-capacity enterprise unit, and features advanced image-processing capabilities that automatically enhance scanned images by removing noise, correcting skew or rotation, adjusting color imbalances, and improving overall clarity, which in turn significantly increases OCR accuracy and readability. The software is particularly strong in data extraction, providing features such as full-text OCR, zonal OCR, barcode and patch-code recognition, as well as optical-mark-recognition and handprint recognition, allowing it to effectively handle handwritten text or checkboxes. Additionally, it can extract numerous fields from each document, including data from forms, applications, or surveys, and is capable of intelligently separating mixed batches of documents using techniques like blank page detection, barcodes, patch codes, or form-template recognition, while also assigning relevant metadata for more efficient management. This level of automation not only improves operational efficiency but also empowers organizations to optimize their document workflows with remarkable accuracy and speed, making it an invaluable asset in the digital transformation journey. Ultimately, adopting such technology can lead to significant cost savings and improved productivity for businesses.

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.

Media

Media

Integrations Supported

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

$334.55 per year
Free Trial Offered?

Pricing Information

$14.99 per month

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

PFU America, Inc., a Ricoh Company

Company Location

United States

Company Website

www.paperstreamcapturepro.com

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/

Categories and Features

Document Scanner

Not specified

OCR

Not specified

Categories and Features

AI Models

Not specified

OCR

Not specified

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