Sensible vs Nanonets

Why choose Sensible over Nanonets?

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LLM + layout — combine LLM and deterministic methods for higher accuracy and greater flexibility

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Automatic document sorting — splits, classifies, and routes documents

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Built for complex use cases — incorporate schema normalization, post-processor features, conditional logic, etc.

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Full-service option — let our team handle setup, integrations, and ongoing maintenance so you don’t have to lift a finger

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Integration flexibility — Pull structured JSON via API/webhook, Zapier, or email

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Sensible vs. Nanonets: Key Differences

When it comes to document automation, accuracy, speed, and scalability make all the difference. Both Sensible and Nanonets help businesses extract data from documents, but Sensible is built for companies that demand reliability at scale. With hybrid LLM + rules, broader document coverage, and hands-on support, Sensible ensures you can trust every extraction and accelerate automation without the engineering overhead.

Nanonets
Why it matters
Accuracy approach
Hybrid LLM + configurable layout rules
Pure ML models
Hybrid approach leads to higher precision and flexibility
Transparency & Customization
Clear extraction logic with human-readable rules
“Black-box” AI predictions are harder to audit
Easier to rectify errors if they emerge
Edge case handling
Handles 1,000+ page docs, multi-column layouts, recurring tables, nested sections
Struggles with very long or irregular docs
Essential for documents that are higher in complexity
Services & support
Full-service option — setup, integration, and ongoing operations handled
Primarily self-serve, very limited hands-on support
Faster rollout and ability to fully outsource all doc extraction initiatives
Time to value
Go live in days
Requires training cycles and feedback loops
Faster ROI and earlier automation wins
Document coverage
Broad coverage — insurance, banking, real estate, healthcare, utilities, and more
Broad but skewed toward generic forms and simpler forms (e.g., invoices)
Ensures future-proof coverage as use cases expand in variety and complexity
Pricing flexibility
Usage-based, transparent pricing with enterprise options
Subscription tiers; less flexible for scaling up/down
Predictable costs that scale with document volume
Companies of all sizes trust Sensible to extract their most important documents