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About

DocumentIQ extracts structured data from PDFs and Word documents using large language models — no templates, no per-format setup. Define the fields you need, point it at your documents, choose your LLM, and ship in an afternoon. Multi-row line items, PDF annotations as few-shot examples, project chat for cross-document Q&A, and a feedback loop that improves accuracy over time. Used by logistics, manufacturing, and financial-services teams to replace manual data entry at scale.

About

T-NEX Document AI is a configurable document-processing solution for organizations moving information from business documents into downstream workflows. T-NEX scopes projects around document types, required fields, sample documents, target data structures and review rules. The workflow can classify documents, extract specified values, link them to their sources, and flag unclear or missing information for human review. Approved data can be handed off in an agreed format, such as a file or project-specific API connection. Evaluation uses representative documents and varied layouts to assess recognition results and correction effort for selected fields. It is intended for SMEs, startups and industrial or other business teams handling documents such as order confirmations and reports. The solution is delivered as a custom project, with integrations and direct posting scoped individually.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Operations, AI, and engineering leaders at mid-market and enterprise companies in logistics, manufacturing, insurance, financial services, and professional services — teams processing 1,000+ documents per month where varied formats, complex tables, or domain-specific extraction defeats template-based OCR tools.

Audience

SMEs, startups and industry

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

$0
Freemium
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

DocumentIQ
Founded: 2014
United Arab Emirates
documentiq.algoscale.com

Company Information

T-NEX
Founded: 2024
Germany
t-nex.de/en/companies/products/document-ai/

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Categories

Categories

Integrations

No info available.

Integrations

No info available.
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