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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

ApPost is a software solution designed for the extraction and automatic interpretation of information from digital documents, with a primary focus on handwritten content. This application can effectively handle both structured and unstructured documents by accurately reading numeric and alphabetic fields, as well as handwritten words that were not included during the initial learning phase; it can also adaptively modify and swiftly refresh its lexicon as needed. Meanwhile, N.I.Te specializes in cutting-edge software technologies tailored for the automatic processing of documents, particularly handwritten ones, whether sourced from static images or real-time handwriting coordinates captured by various devices. The innovative technology from NITe is capable of deciphering handwritten words even without a predefined lexicon, thus surpassing the limitations faced by other market solutions. Additionally, a noteworthy benefit of this technology is its proficiency in learning from a minimal set of training samples, allowing for efficient adaptation and performance improvement. This versatility positions both ApPost and NITe as leaders in the evolving landscape of document processing software.

Description

DeepTagger is an innovative, no-code platform that utilizes artificial intelligence to transform various document types, such as PDFs, images, and Word files, into organized and actionable data using a user-friendly "highlight-and-label" system. Users simply upload their documents, select the relevant data points, and train the model through examples instead of relying on rigid templates, after which they can execute predictions, export their findings, and improve accuracy. The platform is designed to manage intricate structures, such as line items within invoices and tables within other tables, while also accommodating scanned documents and low-resolution images thanks to its powerful optical character recognition (OCR) capabilities. Additionally, DeepTagger includes functionalities for splitting multi-document PDFs, understanding intent and context, and position-aware extraction to differentiate repeated phrases for more precise data retrieval. Its pricing model is based on usage and offers a free tier for processing up to 200 documents, while higher subscription levels provide access to enhanced features, including batch prediction, nested schemas, priority support, a multi-tenant architecture, and compliance suitable for enterprise needs. Overall, DeepTagger stands out as a versatile solution for those looking to streamline their document processing and data extraction workflows.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Microsoft Word No 

Integrations

Microsoft Word Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Natural Intelligent Technologies

Country

Italy

Website

www.nitesrl.com

Vendor Details

Company Name

DeepTagger

Country

United States

Website

deeptagger.com

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Alternatives

Alternatives

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