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What is PaperEntry?

The PaperEntry Platform is a cutting-edge AI-powered tool designed for efficiently capturing data from documents, allowing organizations to enhance their data entry workflows by eliminating reliance on manual labor. It proficiently manages a range of document types and can retrieve files from emails, shared drives, and through various API connections. Central to PaperEntry is its advanced artificial intelligence, which streamlines the extraction of essential information from documents. When verification is necessary, a human validator can swiftly review the data using the platform's built-in validation features, after which the confirmed information can be sent to a client or a processing engine for further digital improvements. In the end, the data—whether it has been extracted, validated, or refined—can be smoothly integrated into multiple systems like ERP (Enterprise Resource Planning), TMS (Transport Management System), or AP (Accounts Payable). This intricate process is visually illustrated in the accompanying diagram, highlighting the platform's effectiveness. Furthermore, the system's flexibility to meet diverse business demands establishes it as a valuable asset in document management. Its adaptability ensures that organizations can tailor the platform to fit their unique operational requirements.

What is Harold?

Harold acts as a comprehensive automation tool that caters to both contemporary and legacy ERP systems, with the goal of stopping erroneous data from entering businesses. It carefully processes documents by extracting, verifying, and rectifying any errors before they are incorporated into interconnected systems. Unlike many document processing solutions that simply extract data, Harold prioritizes precision by tackling problems such as missing fields, inaccurate totals, incorrect VAT rates, and invalid supplier IDs, while also minimizing the need for manual checks, thereby preventing disruptions in subsequent operations. Through the application of AI, it efficiently collects information from a range of document types, including invoices, receipts, purchase orders, and statements, while automated rules ensure the data's accuracy, allowing only validated information to be sent directly to an ERP system, accounting software, or via a Zapier integration. Users can easily upload documents or direct them to a specific Harold inbox; after receiving them, Harold systematically extracts crucial details such as headers, totals, line items, and references into a structured format, automatically conducting checks and resolving any inconsistencies before exporting the information. Consequently, data can be handed over in various formats such as CSV, Excel, ERP outputs, or through automated Zapier workflows, which enhances Harold's role as an essential asset for upholding data integrity and optimizing efficiency in corporate operations. Furthermore, this streamlined approach not only saves time but also significantly reduces the risk of errors, ultimately contributing to a more productive work environment.

Media

Media

Integrations Supported

AscendTMS
Blue Yonder Transportation Management
Box
CargoWise
FreshBooks
Google Drive
LoadMaster
Microsoft OneDrive
Oracle Transportation Management
QuickBooks Online
QuickBooks Online Advanced
Sage Intacct
Xero
Zoho Books

Integrations Supported

Google Sheets
Microsoft Excel
Zapier

API Availability

API Availability

Pricing Information

Contact Deep Cognition for pricing details

Pricing Information

$25.11 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Deep Cognition

Date Founded

2017

Company Location

United States

Company Website

deepcognition.ai

Company Facts

Organization Name

Harold

Company Location

United Kingdom

Company Website

useharold.com

Categories and Features

Artificial Intelligence

Predictive Analytics

Data Entry

Not specified

Data Extraction

Not specified

Categories and Features

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