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What is Mindee?
Our application programming interfaces (APIs) simplify the automation of document processing within your software solutions. Each API is capable of handling input documents, whether they are images or PDFs, and provides a well-organized response containing all necessary information. With instant processing, users benefit from an optimal experience. You can expect high-quality outputs regardless of the initial image clarity. This approach yields structured data without the need for any further processing. To assist developers in crafting powerful APIs that are user-ready, we leverage cutting-edge advancements in deep learning. Our innovative algorithms identify pertinent information in images prior to analysis, setting us apart from conventional optical character recognition (OCR) methods. This modern approach dismantles the traditional limitations of OCR in terms of speed, precision, and reliability. There's no need for training, templates, or lengthy setups. Developers can easily integrate our APIs through a plug-and-play system. Our platform is designed with an API-first mentality, catering specifically to developers. Additionally, a free plan is available for developers, requiring no credit card information. These APIs operate in a synchronous cloud environment, ensuring efficient and effective processing. Overall, our solutions aim to revolutionize how document processing is approached in software development.
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.
Integrations Supported
Affinda Compliance AI
Affinda Job Description Parser
Affinda Resume Parser
Box
Charlie HR
Dropbox
FreshBooks
Google Cloud Platform
HubSpot CRM
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Pricing Information
Pricing not provided
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
24 Hour 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
Mindee
Date Founded
2018
Company Location
France
Company Website
mindee.com
Company Facts
Organization Name
Affinda
Date Founded
2012
Company Location
Australia
Company Website
www.affinda.com
Categories and Features
Data Extraction
Not specified
Intelligent Document Processing
Not specified
OCR
Not specified
PDF APIs
Not specified