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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Sensible is a document-processing platform that prioritizes API integration, making it easy for developers and product teams to transform unstructured documents into structured data efficiently. It can extract information from various sources such as PDFs, images, emails, and spreadsheets by utilizing both LLM-based parsing and visual layout-rule engines. With over 150 pre-built parsers designed for typical business documents like bank statements, invoices, and utility bills, companies can speed up their deployment processes, while also having the flexibility to create custom configurations that cater to specific workflows. Additionally, its classification feature includes a dedicated endpoint that automatically determines the document type prior to extraction, which minimizes the need for manual file sorting. Integration is seamless via REST APIs, Webhooks, and SDKs in JavaScript and Python, facilitating document ingestion in both development and production settings while supporting version control. This comprehensive approach not only streamlines workflows but also enhances the overall efficiency of document management.

Description

T-NEX Document AI offers a flexible solution for organizations looking to transfer information from various business documents into their operational workflows efficiently. The scope of T-NEX projects is tailored to different document types, the fields that need to be extracted, sample documents provided, the desired data structures, and specific review protocols. This workflow system is capable of classifying documents, extracting designated values, linking them with their respective sources, and identifying any unclear or incomplete information that requires human intervention. Once the data has been validated, it can be delivered in a mutually agreed format, whether through a file or a project-specific API connection. The evaluation process employs representative documents with diverse layouts to measure the effectiveness of recognition and the effort needed for corrections on the selected fields. Primarily aimed at small and medium enterprises, startups, and various business teams, the solution is particularly suited for managing documents like order confirmations and reports. Furthermore, the T-NEX solution is implemented as a custom project, ensuring that integrations and direct postings are tailored to meet the unique requirements of each client. Ultimately, this adaptability allows organizations to streamline their document processing while maintaining accuracy and efficiency.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
JavaScript Yes 
Python Yes 

Integrations

Amazon Web Services (AWS) No 
JavaScript No 
Python No 

Pricing Details

$449 per month
Free Trial No 
Free Version No 

Pricing Details

No price information available.
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 No 
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 No 
Live Rep (24/7) No 
Online Support No 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Sensible

Country

United States

Website

www.sensible.so/

Vendor Details

Company Name

T-NEX

Founded

2024

Country

Germany

Website

t-nex.de/en/companies/products/document-ai/

Product Features

OCR

Batch Processing No 
Convert to PDF No 
ID Scanning No 
Image Pre-processing No 
Indexing No 
Metadata Extraction No 
Multi-Language No 
Multiple Output Formats No 
Text Editor No 
Zone Selection Tool No 

Alternatives

Alternatives

No Alternatives
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