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What is DocSolved?

DocSolved effectively gathers structured data from a variety of formats, including PDFs, scanned documents, images, and invoices, presenting each extracted piece of information alongside its original source for straightforward validation. For scanned materials and images, the extracted fields are linked to their respective page locations, while any OCR values that are uncertain are clearly marked for additional scrutiny. The platform adeptly handles structured e-invoices, utilizing formats such as Factur-X, ZUGFeRD, KSeF FA(3), and UBL 2.1 by interpreting embedded XML, while artificial intelligence facilitates the extraction process for other document types. Tailored adjustments for individual suppliers enhance the accuracy of future data extraction endeavors. Teams in finance, accounting, operations, and development gain significant advantages from the system's capability to process a wide range of documents, which includes invoices, receipts, purchase orders, delivery notes, and CVs, utilizing pre-defined types, customizable fields, and templates. Furthermore, DocSolved provides features for review and approval, batch processing, collaborative workspaces, and export options available in JSON, CSV, and XLSX formats, all supported by a REST API, signed webhooks, and an MCP server designed for coding agents. Each subscription plan includes a full suite of features, with variations primarily based on monthly page limits, storage capacity, and document processing capabilities. Users can access the free tier, which allows for 100 one-time pages without a credit card, while paid subscriptions start at an affordable $9 per month, making it suitable for a diverse range of users. Consequently, DocSolved emerges as a robust and versatile solution for managing documents and extracting data efficiently. With its user-friendly interface and reliable technology, it enhances productivity across various sectors.

What is DAN · Data Automation Ninja?

DAN, which stands for Data Automation Ninja, is a cutting-edge and complimentary AI-powered platform designed for intelligent document processing, developed by SDLC Corp. This innovative tool helps businesses efficiently extract structured data from a variety of documents, including invoices, receipts, contracts, bank statements, resumes, PDFs, and scanned images. Utilizing advanced artificial intelligence, optical character recognition (OCR), and document classification methods, DAN proficiently detects crucial information and converts unstructured documents into valuable insights. Its impressive features include field-level confidence scoring, options for human verification, customizable extraction fields, the ability to process multi-page documents, and export options in JSON and Excel formats. Organizations can easily upload their documents, carefully review and modify the extracted information, and enhance their workflows through REST APIs and webhooks. Specifically designed for teams in finance, accounting, human resources, procurement, logistics, and operations, DAN aims to reduce manual data entry while significantly improving the efficiency of document processing tasks. Additionally, its intuitive interface and robust functionalities make it an indispensable tool for businesses seeking to boost productivity and precision in their operations, ensuring they stay ahead in a competitive landscape.

Media

No images available

Media

No images available

Integrations Supported

Claude Code
Gemini CLI
Make
Model Context Protocol (MCP)
OpenAI Codex
Zapier
n8n

Integrations Supported

Gmail
Microsoft Outlook

API Availability

Has API

API Availability

Has API

Pricing Information

$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 Version
Free Trial Offered?

Pricing Information

$0
Hosted self-serve access is free. Self-hosted or VPC deployments can be arranged on request.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Synairo

Date Founded

2025

Company Location

Poland

Company Website

docsolved.ai

Company Facts

Organization Name

SDLC Corp

Date Founded

2015

Company Website

dan.sdlccorp.com

Categories and Features

Categories and Features

OCR

Not specified

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