Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DocSolved efficiently captures structured information from various sources such as PDFs, scanned documents, photographs, and invoices, displaying each extracted result alongside its original source for easy verification. For scans and images, the linked extracted fields indicate their respective page locations, while any OCR values that cannot be pinpointed are highlighted for further examination. The platform processes structured e-invoices, including formats like Factur-X, ZUGFeRD, KSeF FA(3), and UBL 2.1, by reading embedded XML, while AI technology manages the extraction of other types of documents. Adjustments specific to suppliers help refine future data extraction processes. Finance, accounting, operations, and development teams benefit from the ability to handle a variety of documents, including invoices, receipts, purchase orders, delivery notes, and CVs, using predefined types, customizable fields, and templates. Additionally, DocSolved offers functionalities for review and approval, batch processing, collaborative team workspaces, and export options in JSON, CSV, and XLSX formats, supported by a REST API, signed webhooks, and an MCP server for coding agents. Each subscription plan encompasses all features, differing primarily in terms of monthly page limits, storage capacity, and document processing allowances. The free tier grants users access to 100 one-time pages without requiring a credit card, whereas paid subscriptions commence at a competitive rate of $9 per month, making it accessible for various users. Thus, DocSolved stands out as a comprehensive solution for document management and data extraction needs.
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
No images available
Integrations
Claude Code
Yes
Gemini CLI
Yes
Make
Yes
Model Context Protocol (MCP)
Yes
OpenAI Codex
Yes
Zapier
Yes
n8n
Yes
Integrations
Claude Code
No
Gemini CLI
No
Make
No
Model Context Protocol (MCP)
No
OpenAI Codex
No
Zapier
No
n8n
No
Pricing Details
$9/month
Starter is $9/month for 250 pages per month, 1 GB of storage, and up to 500 documents per user. All features are included in every plan; paid plans vary by page allowance, storage, and document count. The free tier includes 100 pages once and does not require a payment card. Taxes may apply.
Free Trial
Yes
Free Version
Yes
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)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Synairo
Founded
2025
Country
Poland
Website
docsolved.ai
Vendor Details
Company Name
T-NEX
Founded
2024
Country
Germany
Website
t-nex.de/en/companies/products/document-ai/