Affinda
Affinda is a document AI platform for extracting, validating, reviewing, and routing structured data from complex business documents.
About Affinda
Affinda is an intelligent document processing platform for teams that need more than a basic OCR pass. Its official positioning is production-grade document AI: users describe the documents and workflow, then configure extraction, validation, review, and integration steps around real business processes. The platform is strongest when documents carry operational risk, such as invoices, resumes, loan packs, claims, onboarding forms, contracts, bills of lading, or compliance evidence. Teams can create document types, add custom fields and tables, validate extracted data against rules, route exceptions through review queues, and send structured outputs to business systems by API, webhooks, email upload, export files, or no-code integration paths. Affinda also publishes security and compliance material covering ISO 27001:2022, SOC 2 Type 2, GDPR, encryption, AWS hosting, MFA, monitoring, penetration testing, data retention controls, and deployment options. Buyers should treat vendor performance claims as official claims, not independent benchmarks, and should test their own document mix, languages, page counts, field complexity, review burden, latency, and compliance needs before rollout. It is a strong shortlist candidate for document-heavy operations and software products that need configurable extraction plus validation. It is less ideal for teams that only need one-off manual OCR, fully transparent self-serve platform pricing, or a simple packaged business workflow with no configuration work.
Best for
Best use cases
A finance team receives hundreds of invoices and purchase orders each week, extracts line items and totals, validates fields against business rules, then syncs clean data into an ERP.
A hiring platform uploads resumes through the API, stores parsed candidate fields, and routes exception cases to a recruiter only when a document needs manual review.
A lending or insurance workflow ingests customer forms, proof documents, and email attachments, classifies the packet, checks source-grounded fields, and sends validated outputs to a case-management system.
A developer builds a custom parser for contracts, bills of lading, or onboarding forms by defining document types, custom fields, validation rules, and webhooks instead of maintaining an OCR pipeline in-house.
An operations team uses review queues and audit logs to investigate extraction exceptions before data is approved for downstream billing, claims, or compliance workflows.
Compare before choosing
Compare Affinda with general OCR or RPA tools if the main decision is whether you need configurable document AI, validation, and review workflows rather than raw text extraction.
Compare Affinda with cloud document AI platforms such as Google Document AI, Azure AI Document Intelligence, and Amazon Textract when procurement depends on cloud ecosystem, regional deployment, API surface, and enterprise controls.
Compare Affinda with specialist AP automation, ATS parsing, or KYC workflow products if you need a packaged business application instead of a configurable document intelligence layer.
Compare public recruitment AI credit pricing separately from platform pricing because the official platform plans are not published as fixed self-serve prices.
Features
Configurable document types
Define document types for invoices, resumes, contracts, forms, loan packs, bills of lading, or other business-specific documents, then map extracted fields to the workflow that needs them.
Custom fields and tables
Create custom fields, data types, table fields, signature detection, checkbox detection, reference data, picklists, and normalization rules for structured outputs.
Validation and review queues
Use natural language validation rules, master data matching, document processing queues, human review UI, and audit logs to catch exceptions before data reaches downstream systems.
API and developer workflow
Upload documents through the v3 Documents API, retrieve structured JSON, use API keys, poll or wait for processing, subscribe to webhooks, and work with official client-library paths.
No-code integration path
Affinda describes an Agent workflow for connecting document outputs to thousands of business systems using natural language, alongside code-based API integration.
Security and deployment controls
Official security material lists ISO 27001:2022, SOC 2 Type 2, GDPR, encryption in transit and at rest, MFA, AWS infrastructure, monitoring, penetration testing, and flexible deployment options.
Recruitment AI products
Affinda also offers resume parsing, job description parsing, search and match, resume redaction, and resume summaries for recruitment software and ATS-style workflows.
Pros
- Combines extraction, validation, review, audit, and integration capabilities rather than stopping at OCR text output.
- Supports API-first and no-code integration paths, which helps both engineering teams and operations teams evaluate adoption.
- Official pricing pages separate platform packaging from recruitment AI credit bands, giving buyers at least some public cost signals for resume-related workflows.
- Security posture is documented with ISO 27001:2022, SOC 2 Type 2, GDPR, encryption, MFA, monitoring, AWS hosting, and deployment-control claims.
Cons
- The official platform pricing page does not publish numeric prices for Pay as you go, Business, or Enterprise platform plans.
- Enterprise controls such as SSO, HIPAA support, on-premise deployment, dedicated environment, and tailored SLA are shown only on Enterprise in the public comparison table.
- Teams still need to configure document types, fields, validation logic, and integration paths; this is not a zero-setup packaged workflow.
- Vendor accuracy and processing-performance claims should be validated against the buyer's own document quality, field complexity, page counts, and exception rates.
Pricing Plans
Pay as you go
- Custom document types and document splitting
- Instant model learning, handwriting/OCR, and configurable fields
- Human review UI, queues, audit logs, REST API, webhooks, email upload, and export formats
- MFA, role based access control, ISO 27001, SOC 2 Type 2, GDPR, and regional deployment options
Business
- Includes the core document processing, validation, integration, and audit capabilities
- Adds embeddable validation UI
- Adds custom data retention policies and data residency controls
- Includes priority support and standard SLA guarantees
Enterprise
- Includes SSO and HIPAA support according to the public comparison table
- Supports on-premise deployment, dedicated environment, or private cloud options
- Includes dedicated customer success manager and model optimisation support
- Includes priority support and tailored SLA guarantees
Recruitment AI annual credits
- Published for Resume Parser, Job Description Parser, and Resume Summary
- Credit bands run from 6,000 to 780,000 annual credits
- 780,000+ credits are tailored
- Resume Redactor is enquiry-based
* Pricing information is for reference only. Please refer to the latest announcement on Affinda's official website.