Trusted by teams turning documents into production data
Why choose Sensible over Instabase? Sensible delivers transparent, developer-first document extraction with hybrid LLM and layout rules — giving you high precision without the overhead, long implementation cycles, or opaque pipelines of a heavy enterprise workflow platform.
Hybrid LLM + layout rules
Combine LLM flexibility with deterministic extraction for both accuracy and transparency.
Production-ready in days
150+ pre-built document configs let you go live quickly without requiring long onboarding or professional services engagements.
Transparent and debuggable
Human-readable SenseML configurations that you can audit, version-control, and customize — not a black-box AI pipeline.
No page limits
Handles 1,000+ page docs, deeply nested schemas, and complex multi-document packets without the memory constraints of traditional platforms.
Developer-first integration
Built to fit directly into your engineering pipelines with REST APIs, Python/Node SDKs, and webhooks.
A Sensible solutions expert will be in touch within one business day.
Trusted by teams turning documents into production data
Instabase is a heavy, enterprise-grade workflow platform. While powerful, its "black box" AI pipelines often require significant setup time and professional services. Sensible is a developer-first platform that uses a hybrid approach—combining configurable layout rules with LLMs. This gives you the flexibility of AI with the predictability of deterministic methods. With fast API integration and auditable logic, Sensible gets you to production faster without the enterprise engineering burden.
Instabase
Why it matters
Extraction method
Hybrid LLM + configurable rules
Agentic multi-model orchestration with black-box AI pipelines
Hybrid approach delivers superior precision while maintaining full transparency and control over extraction logic.
Transparency & Customization
Human-readable configs you can inspect, audit, and version-control
Opaque pipelines with limited visibility into extraction decisions
Debug and customize extraction logic easily—essential for regulated industries and mission-critical workflows.
Time to value
Deploy in days with 150+ pre-built configs; live without professional services
Weeks to months; often requires dedicated implementation engagements
Start extracting immediately without long onboarding cycles or hidden professional services costs.
Document constraints
No page limits; handles 1,000+ page docs and complex nested schemas
File size limits (~50 MB / ~800 pages) and potential memory constraints on large files
No ceiling on document complexity or length, ensuring enterprise-scale processing never breaks.
Deterministic results
Layout-based extraction ensures repeatable, consistent outputs
Agentic AI outputs may vary between runs on identical documents
Same input = same output every time, critical for production systems and compliance requirements.
Schema normalization
Sophisticated post-processing, validation, and data normalization built-in
Requires custom pipeline configuration for normalization and validation
Extract clean, normalized data ready for downstream systems with no additional engineering required.
Integration approach
REST API, SDKs, webhooks — developer-native and self-serve
Enterprise integrations; often requires IT involvement and custom connectors
Fits directly into engineering pipelines without middleware or lengthy IT procurement.
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Extract from any document type with hybrid AI plus deterministic rules. Validated, traced, and delivered through a production-grade API.