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Description

Affinda redefines intelligent document processing by enabling organizations to automate extraction workflows with unmatched speed and precision. Instead of traditional machine-learning pipelines that demand long training cycles, Affinda learns instantly from individual documents and adapts on the fly. Its AI agents can classify files, extract structured and unstructured data, apply cleansing and transformation rules, and validate outputs according to each organization’s logic. Users can connect Affinda to 400+ business applications through natural-language integration instructions, while developers can generate type-safe models and interface directly through powerful APIs. The platform enhances LLM capabilities with purpose-built components such as RAG memory, advanced OCR, reading-order intelligence, and agentic workflow orchestration. Whether processing invoices, resumes, contracts, insurance forms, or highly specialized documents, Affinda maintains industry-leading accuracy that enables straight-through processing. Enterprise customers benefit from global data centers, privacy-first infrastructure, and flexible deployment options. With consumption-based pricing and no required sales calls, onboarding is fast, transparent, and designed for rapid scaling.

Description

Sensible is a document-processing platform that prioritizes API integration, making it easy for developers and product teams to transform unstructured documents into structured data efficiently. It can extract information from various sources such as PDFs, images, emails, and spreadsheets by utilizing both LLM-based parsing and visual layout-rule engines. With over 150 pre-built parsers designed for typical business documents like bank statements, invoices, and utility bills, companies can speed up their deployment processes, while also having the flexibility to create custom configurations that cater to specific workflows. Additionally, its classification feature includes a dedicated endpoint that automatically determines the document type prior to extraction, which minimizes the need for manual file sorting. Integration is seamless via REST APIs, Webhooks, and SDKs in JavaScript and Python, facilitating document ingestion in both development and production settings while supporting version control. This comprehensive approach not only streamlines workflows but also enhances the overall efficiency of document management.