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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

The powerful engine of PDF Extractor operates exceptionally well even in demanding scenarios, making it a perfect choice for handling extensive PDF reports, cataloging vast PDF collections, and much more. Regardless of the intricacy of your PDF's layout, PDF Extractor proves to be user-friendly and can be effortlessly integrated into your current systems. It is capable of processing corrupted files with intricate designs and can fix improperly formatted text that would typically require manual intervention. With a comprehensive suite of advanced features, it transforms scans into searchable PDFs, allows for splitting and merging of PDFs, enables text removal, and assists in analyzing, locating, and eliminating sensitive information and personally identifiable information (PII) from both PDF and scanned documents. Additionally, it efficiently extracts tables and textual elements from PDFs, providing output in both .XLS and .XLSX formats for seamless data management. This versatility makes PDF Extractor an invaluable tool for anyone needing to manage large volumes of PDF content effectively.

Description

NetOwl TextMiner merges the acclaimed NetOwl Extractor with Elasticsearch to deliver an innovative text analytics solution. This software harnesses the full spectrum of NetOwl's functionalities, making it perfect for conducting "what if" analyses, performing discovery tasks, facilitating quick-response investigations, and carrying out thorough research. By incorporating all the text analytics features of the NetOwl Extractor—including entity extraction, relationship and event extraction, sentiment analysis, text categorization, and geotagging—TextMiner presents a comprehensive text mining platform. The results generated by the Extractor are stored within Elasticsearch, which offers a range of intelligent search and analytical capabilities. The synergy between Elasticsearch and NetOwl ensures rapid and scalable real-time text analysis suited for handling Big Data. Furthermore, the user-friendly web-based interface of TextMiner can be easily configured to accommodate various analytical needs, enabling users to swiftly access only the most valuable insights from extensive text datasets. This adaptability not only enhances usability but also allows for more tailored analysis across multiple domains.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

ArcGIS No 
Elasticsearch No 
Google Maps No 
IBM Cloud No 
Kibana No 
MarkLogic No 
Palantir Apollo No 
SolrCommerce No 
Tableau No 

Integrations

ArcGIS Yes 
Elasticsearch Yes 
Google Maps Yes 
IBM Cloud Yes 
Kibana Yes 
MarkLogic Yes 
Palantir Apollo Yes 
SolrCommerce Yes 
Tableau Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

ByteScout

Founded

2009

Country

United States

Website

bytescout.com/products/developer/pdfextractorsdk/index.html

Vendor Details

Company Name

NetOwl

Founded

1996

Country

United States

Website

www.netowl.com/text-mining

Product Features

Product Features

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis No 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis No 
Topic Clustering No 

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