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What is DocExtractor?

DocExtractor is a comprehensive AI-powered solution designed to automate the extraction of essential data from unstructured documents like invoices, contracts, receipts, and scanned images. By utilizing cutting-edge AI and machine learning technologies, DocExtractor delivers fast and accurate data extraction, allowing businesses to eliminate tedious manual entry and enhance data accuracy. The platform supports a variety of file formats, including PDFs, DOCX, PNG, and TIFF, and enables seamless integration with existing business systems like CRM or ERP. DocExtractor offers customizable extraction options that can be tailored to specific needs, making it ideal for industries such as financial services, insurance, and logistics. With the ability to process bulk documents and integrate with Robotic Process Automation (RPA) tools, DocExtractor boosts productivity and reduces operational costs. Additionally, the platform ensures security with end-to-end encryption and provides a user-friendly interface for easy document management. DocExtractor is a powerful solution for businesses looking to streamline their document processing and unlock the potential of their data.

What is Affinda?

Affinda delivers a next-generation document automation platform that empowers businesses to extract data from any format with near-perfect accuracy and minimal setup. Unlike legacy IDP systems that require months of training, tuning, and maintenance, Affinda allows users to upload a single example document and immediately generate a functional extraction model. Its AI agents classify, split, and parse documents, predict fields, handle complex table structures, and perform data transformations using intuitive natural-language instructions. The platform supports intricate business rules, enabling organizations to embed validation logic that ensures consistent, audit-ready outputs. Through its dual integration pathways—AI-generated connectors and developer-friendly APIs—Affinda plugs directly into ERP, CRM, HRIS, and workflow automation systems without requiring architecture changes. Under the hood, the system combines LLM intelligence with RAG memory, proprietary reading-order algorithms, multi-language OCR, and high-accuracy parsing engines to surpass the performance ceiling of LLMs alone. Enterprises benefit from a secure, compliant infrastructure that is ISO 27001:2022 certified, SOC 2 validated, GDPR compliant, and deployable in the cloud or on-premise as needed. With over 500 million documents processed across 50+ languages, Affinda has proven scalability for global operations. The platform’s consumption-based pricing makes advanced automation accessible to teams of all sizes while delivering measurable ROI from day one. Built for speed, accuracy, and simplicity, Affinda transforms document-heavy workflows into streamlined, fully automated processes.

Media

Media

Integrations Supported

Integrations Supported

Affinda Compliance AI
Affinda Invoice Extractor
Affinda Job Description Parser
Affinda Receipt Extractor
Affinda Resume Redactor
Affinda Search and Match
Airtable
Box
Dropbox
FreshBooks
Google Cloud Platform
Microsoft 365
Microsoft SharePoint
NetSuite
SS&C Blue Prism
Workday HCM
Xero
Zapier
Zendesk
Zoho CRM

API Availability

API Availability

Has API

Pricing Information

$35/month
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

DocExtractor

Date Founded

2018

Company Location

India

Company Website

www.docextractor.com

Company Facts

Organization Name

Affinda

Date Founded

2012

Company Location

Australia

Company Website

www.affinda.com

Categories and Features

Data Extraction

Not specified

OCR

Not specified

Categories and Features

Data Extraction

Not specified

OCR

Not specified

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