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What is Ocrolus?

Transform your back office processes by implementing automation that harnesses the power of artificial intelligence alongside crowdsourced insights. Effortlessly retrieve and analyze data from any image with an impressive accuracy rate exceeding 99%, independent of its quality. The method of data retrieval has never been more user-friendly. You can seamlessly interpret images in your preferred format, allowing for greater flexibility. Ocrolus merges the speed of machines with the discerning eye of human quality control experts to guarantee outstanding accuracy. Protect your data with state-of-the-art security measures akin to those utilized by financial institutions, complemented by a thorough audit trail. Eliminate the hassle of labor-intensive manual reviews and monotonous comparisons. Evaluate financial health effectively by leveraging bank data and cash flow analytics. Accurately determine income for individuals across diverse employment scenarios. Effortlessly extract and confirm address information from all document types while swiftly accessing employment details from multiple sources. Validate and establish identity through various document formats without difficulty. Furthermore, enhance the Ocrolus platform to foster innovation and streamline customer interactions, leading to a more seamless and effective experience for users. This modernization not only enhances productivity but also significantly elevates customer satisfaction, creating a win-win situation for both the business and its clients. Embracing these advanced solutions will prepare your organization for future challenges while ensuring it remains competitive in a rapidly evolving market.

What is Box Extract?

Box Extract is a cutting-edge tool that leverages artificial intelligence to efficiently identify, collect, and convert structured data from unstructured sources such as documents, PDFs, spreadsheets, images, and other formats into organized metadata that facilitates easy storage, searching, and utilization, ultimately improving business operations. The technology employs sophisticated large language models, optical character recognition (OCR), chain-of-thought prompting, and specialized retrieval-augmented generation combined with reasoning techniques to achieve a profound comprehension of document content and structure with remarkable accuracy, all while eliminating the necessity for extensive training or complex setups. Users can choose between Standard and Enhanced Extract Agents, capable of handling everything from basic fields like names and dates to complex components such as hazardous clauses, tables, and graphs. Moreover, they have the ability to develop Custom Extract Agents utilizing configurable metadata templates, which allows for efficient management across numerous folders and repositories. This adaptability empowers organizations to customize the tool according to their unique requirements, thereby enhancing both efficiency and effectiveness in data management. As a result, businesses can experience a significant reduction in time spent on data extraction tasks, leading to more streamlined workflows and improved overall productivity.

Media

Media

Integrations Supported

Automation Anywhere
LendingFront
Plaid
UiPath
Unqork

Integrations Supported

Box

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Ocrolus

Date Founded

2014

Company Location

United States

Company Website

www.ocrolus.com

Company Facts

Organization Name

Box

Date Founded

2008

Company Location

United States

Company Website

www.box.com/extract

Categories and Features

Data Extraction

Not specified

Document Management

Not specified

Fraud Detection

Not specified

OCR

Not specified

Categories and Features

Data Extraction

Not specified

OCR

Not specified

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