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Average Ratings 0 Ratings

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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

Tensorlake serves as a cutting-edge AI data cloud that efficiently converts unstructured data into formats suitable for AI applications. It adeptly transforms various content types, including documents, images, and presentations, into structured JSON or markdown segments that facilitate easy retrieval and analysis by large language models. The document ingestion APIs are capable of handling a wide range of file types, from handwritten notes to PDFs and intricate spreadsheets, while executing post-processing tasks such as chunking and preserving the original reading order and layout. With its serverless workflows, Tensorlake provides rapid end-to-end data processing, empowering users to create and implement fully managed Workflow APIs in Python that can scale down to zero when not in use and seamlessly scale up during data processing tasks. Additionally, it is designed to process millions of documents simultaneously, ensuring that context and interrelations among different data formats are preserved, while also offering robust, role-based access control to enhance team collaboration. This flexibility and efficiency make Tensorlake an invaluable tool for organizations looking to streamline their AI data preparation processes.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

JSON No 
Python No 

Integrations

JSON Yes 
Python Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.01 per page
Free Trial No 
Free Version 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 

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 Yes 
Live Rep (24/7) No 
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) No 
In Person Yes 

Vendor Details

Company Name

Natural Intelligent Technologies

Country

Italy

Website

www.nitesrl.com

Vendor Details

Company Name

Tensorlake

Website

www.tensorlake.ai/

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 

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Alternatives

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