Trusted by teams turning documents into production data
Why choose Sensible over Rossum? Rossum specializes in invoices and AP automation. Sensible extracts from any document type — insurance, healthcare, real estate, logistics — with hybrid LLM precision.
Beyond transactional documents
Extract from any document type, not just invoices and purchase orders
Hybrid LLM + layout precision
Combine AI flexibility with deterministic rules for guaranteed accuracy and full transparency
Enterprise-grade complexity
Handles 1,000+ page documents, deeply nested schemas, and advanced normalization out of the box
Full-service support available
Expert team builds, deploys, and maintains configurations so you don't need in-house expertise
Debuggable and auditable
Human-readable extraction logic you can inspect, modify, and trust for regulated industries
See how Sensible handles your hardest documents.
Trusted by teams turning documents into production data
While Rossum excels at automating accounts payable workflows with template-free AI, Sensible goes beyond transactional documents to handle any document type across industries. Rossum's pure AI approach offers speed for invoices and purchase orders, but Sensible's hybrid LLM plus configurable layout rules delivers superior accuracy, transparency, and control for mission-critical extractions. With broader document coverage, deeper customization capabilities, and full-service options, Sensible is built for enterprises that need guaranteed precision and the flexibility to handle complex, diverse document workflows.
Rossum
Why it matters
Document coverage
Universal coverage: invoices, insurance policies, medical records, legal contracts, utility bills, financial statements, and any business document
Specialized for transactional documents: invoices, purchase orders, receipts, bills of lading, delivery notes
Extract from insurance policies, medical records, legal contracts, utility bills, and more — not just AP documents
Accuracy approach
Hybrid approach: configurable layout-based rules for precision + LLM intelligence for flexibility when needed
Pure AI extraction: proprietary Transactional-LLM (Aurora) trained on millions of invoices and transactional documents
Hybrid approach delivers both flexibility and deterministic precision, with full visibility into extraction logic
Transparency & control
Human-readable JSON configs you can audit, version control, and modify. See exactly why each field was extracted
AI model learns from user corrections and annotations. Extraction logic evolves automatically but isn't directly inspectable
Debug failures instantly and customize logic precisely — essential for compliance and regulated industries
Deterministic results
Same input = same output every time
Probabilistic AI outputs
Guarantee consistency for production systems — no AI drift, no unexpected variations in critical extractions
Edge case handling
1,000+ page docs, complex nested tables
Optimized for standard documents
Battle-tested with massive, complex enterprise documents that break template-free approaches
Schema normalization
Advanced post-processing & validation
Basic validation, custom logic required
Extract clean, normalized, production-ready data with complex transformations and validations built in
Services & support
Full-service: setup, configuration, operations
Self-serve with support team guidance
Fully outsource document extraction to domain experts or get white-glove support to production
Industry expertise
Insurance, healthcare, real estate, utilities, logistics
Focus on AP/finance workflows
Pre-built configurations and domain knowledge for complex vertical-specific documents beyond invoicing
Human review workflows
Built-in validation and oversight
Validation screens for corrections
Seamless human-in-the-loop workflows designed for mission-critical accuracy requirements
Configuration flexibility
Fine-grained control over extraction logic
Train AI through user corrections
Explicitly define extraction behavior rather than hoping AI learns correctly from feedback over time
Document classification
Built-in splitting and routing
Queue-based document organization
Automatically handle multi-document files and route to correct workflow without manual queue management
Time to value
Production-ready in days
AI training period required
Start with high accuracy immediately — no waiting for AI to learn from corrections and annotations
Conditional logic
Complex if/then rules and dependencies
Limited to AI predictions
Handle sophisticated business logic and document variations with explicit conditional extraction rules
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Talk to our team about extracting beyond invoices.