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What is Zuva DocAI?

Effortlessly gather critical information across your organization with remarkable accuracy. Utilize context-aware machine learning models to efficiently pull relevant details from your documents. Our sophisticated classifiers allow you to distinguish among various business document types, such as employee contracts, leases, supply agreements, and more. Quickly identify the language of your documents, including English, Portuguese, German, and others. Furthermore, you can generate and retrieve OCR text and images from over 20 distinct file formats, including emails, Word documents, and PDFs. Take advantage of our extensive library containing more than 1000 pre-built clause and provision models, all designed by our expert team to streamline your initial setup. Zuva DocAI operates on Zuva's proprietary machine learning technology, which is relied upon by top law firms and organizations for its superior accuracy in recognizing, extracting, and analyzing document content. In addition, you are empowered to develop custom AI applications tailored to meet your specific needs, significantly boosting your operational efficiency. This holistic approach ensures that your data management processes are both comprehensive and adaptable.

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 Job Description Parser
Affinda Receipt Extractor
Affinda Resume Redactor
Airtable
Box
Charlie HR
FreshBooks
HubSpot CRM
Microsoft 365
Microsoft SharePoint
NetSuite
QuickBooks Online
SS&C Blue Prism
Sage 100
Salesforce
UiPath
Workday HCM
Xero
Zapier
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Zuva

Company Location

Canada

Company Website

zuva.ai/docai/

Company Facts

Organization Name

Affinda

Date Founded

2012

Company Location

Australia

Company Website

www.affinda.com

Categories and Features

AI Legal

Not specified

Contract Analysis

Not specified

Data Extraction

Not specified

OCR

Not specified

Categories and Features

Data Extraction

Not specified

OCR

Not specified

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