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Affinda provides AI-driven document intelligence tools designed to automate the extraction and processing of structured and unstructured data from a wide range of document types, including resumes, invoices, purchase orders, and identity documents. The platform uses a combination of optical character recognition (OCR), natural language processing (NLP), and machine learning models to parse documents and return structured, machine-readable data via API. Affinda offers pre-built parsers for common document types as well as custom model training for specialized use cases. Its resume parser is widely used by HR technology vendors and recruitment platforms to automate candidate data extraction. The invoice and accounts payable automation tools help finance teams reduce manual data entry. Affinda is accessible primarily through a REST API, enabling integration into existing workflows and third-party applications. The platform supports multiple languages and document formats, and provides a web-based interface for testing and managing document processing pipelines.

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Target audience and deployment

  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • Cloud
  • API

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Pricing

Pricing details:
Free trial
Free version
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Key features

Resume / CV parsingInvoice data extractionDocument classificationIdentity document parsingCustom model trainingREST API accessOCR engineMulti-language supportPurchase order extractionAccounts payable automationWeb-based document testing interfaceStructured JSON output

Use cases

  • Automate resume parsing for recruitment workflows
  • Extract data from invoices and purchase orders
  • Classify and process mixed document types
  • Integrate document parsing into custom applications via API
  • Verify and extract identity document data
  • Train custom document models for specialized use cases

Best for

  • HR technology vendors who need to embed resume parsing into their recruitment platforms
  • Finance teams who need to automate invoice and accounts payable data extraction
  • Developers who need to integrate document intelligence capabilities via API
  • Enterprises who need to process high volumes of mixed document types at scale