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What is Aquaforest Searchlight?

Enhance the searchability of your documents with Aquaforest Searchlight's OCR solution, specifically crafted for SharePoint, Office 365, and Windows environments. This cutting-edge technology converts non-searchable formats like image PDFs, scanned files, and faxes into fully searchable PDF documents. By employing optical character recognition (OCR), it generates a text version of the content while preserving the original page images, resulting in a searchable PDF. As a result, users can effortlessly find pertinent information within their files. For on-premises SharePoint users, it's essential to install Searchlight on a local server, facilitating smooth interactions with SharePoint through standard Microsoft APIs and enabling direct document processing on the server. Additionally, our products are fully compatible with virtual machines, including Oracle VM VirtualBox, which allows for versatile deployment options. This holistic approach guarantees that your documents are not only easy to access but also optimized for effective information retrieval, enhancing overall productivity. Ultimately, implementing this solution will significantly streamline the management of your document assets.

What is Aquaforest Kingfisher?

Aquaforest Kingfisher streamlines the process of retrieving and organizing essential business information stored within PDF files, which include various types of documents such as financial statements, client reports, scanned images, and records of payments. It offers automated features for intelligent data extraction, document splitting, and renaming, as well as optical character recognition capabilities to effectively manage image-based PDF files. Users can easily convert the extracted content from PDFs into formats like CSV, Excel, or simple text files. All of our solutions are designed to work seamlessly within virtual environments, particularly with Oracle VM VirtualBox. The subscription includes comprehensive support and ongoing maintenance for the duration of the service. A skilled engineer is on hand to remotely install and configure Aquaforest Kingfisher according to your specific requirements. This installation takes place on a separate machine from the SharePoint server, facilitating a smooth integration process. Additionally, the support for the Windows File System allows for the preprocessing of documents before significant data migrations take place. Users can also choose to extract PDF pages based on their content or utilize barcode identifiers, which further enhances the flexibility and efficiency of the data extraction process. This thorough methodology guarantees that businesses can effectively manage, leverage, and maximize the use of their critical information for strategic decision-making. By optimizing data handling, organizations are positioned to drive innovation and improve operational productivity.

Media

Media

Integrations Supported

Microsoft 365
Microsoft SharePoint
Oracle VM
Azure Virtual Machines
Microsoft Azure
Microsoft Office 2021

Integrations Supported

Microsoft 365
Microsoft SharePoint
Oracle VM
Microsoft Excel

API Availability

Has API

API Availability

Pricing Information

€416 per year
Free Trial Offered?

Pricing Information

€410 per year
Free Trial Offered?

Supported Platforms

Windows
On-Prem

Supported Platforms

Windows

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Aquaforest

Company Location

United Kingdom

Company Website

www.aquaforest.com/products/searchlight

Company Facts

Organization Name

Aquaforest

Company Location

United Kingdom

Company Website

www.aquaforest.com/products/kingfisher

Categories and Features

OCR

Not specified

Categories and Features

Data Extraction

Not specified

PDF

Not specified

PDF Splitters

Not specified

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