Sensible

Sensible is a document extraction API for turning PDFs, images, spreadsheets, emails, and other documents into structured data with validation and audit trails. It is designed for teams that need to embed document processing into production workflows.

AI Document Extraction

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Overview

Sensible is a document extraction API for pulling structured data from PDFs, images, spreadsheets, emails, and other document types. The product is built for teams that need validated output, auditability, and a way to ship document processing into production without relying on manual entry.

Its core approach is hybrid extraction: LLM parsing is combined with layout-based rules and schema validation so outputs are checked against an expected structure. The site also emphasizes SenseML for defining extraction logic as code, along with confidence signals and full audit trails for monitoring and review.

Core capabilities

Hybrid extraction

Sensible combines LLM parsing with layout-based rules so the extraction method can adapt to document variation while still using deterministic logic for precision.

Schema enforcement

You define the output structure and Sensible checks extractions against it, so mismatches fail fast instead of quietly entering downstream systems.

Config as code with SenseML

Extraction logic lives in SenseML, which the product page describes as version-controlled config that can be tested and deployed through CI/CD.

Audit trails and observability

The platform includes confidence signals, source coordinates, and extraction logs so teams can inspect where a value came from and how certain the system was.

API-first delivery

Sensible supports RESTful APIs, SDKs, and webhooks for embedding document extraction into existing products and workflows.

Pre-built document configs

The home page says the platform includes 150+ pre-built configurations for common document types, which can shorten setup before customization.

Common workflows

Production document extraction
Teams can extract structured fields from contracts, forms, reports, and other long documents while validating the output against a defined schema.
Embedded document features
Product teams can embed Sensible into an application using APIs, SDKs, and webhooks to expose document processing inside their own workflow.
Review and quality control
Operations teams can reduce manual review by using confidence signals, source coordinates, and audit trails to inspect uncertain extractions.
Document setup and iteration
Companies processing document-heavy onboarding or reporting flows can use pre-built configs and SenseML to set up extraction logic faster and then adjust it over time.
Sensitive document handling
Organizations with regulated or sensitive documents can use the platform’s validation, encryption, region controls, and retention options to fit controlled data workflows.

Pros and Cons

Pros

Per-document pricing is transparent and avoids per-page billing.
Hybrid extraction balances AI flexibility with deterministic validation.
Schema enforcement helps catch mismatches before data reaches downstream systems.
Audit trails, confidence signals, and source coordinates support review and debugging.
The product page and customer stories show it is used for production document workflows rather than only experimentation.

Cons

The source does not provide a concrete integration catalog, so the exact list of supported third-party systems is unclear from the available evidence.
Processing speed varies by document complexity and whether OCR or an LLM is required, so runtime is not uniform.

FAQ

How do teams integrate Sensible into their workflow?

Sensible offers document extraction through an API-first workflow. The product page says you can integrate it into your product using RESTful APIs, webhooks, and SDKs, with SenseML used to define extraction logic.

How does Sensible pricing work?

The pricing page says Sensible bills per document rather than per page. It offers Growth, Scale, and Enterprise plans, with a 14-day trial starting on the Growth plan and enterprise options available on request.

Can Sensible handle long or complex documents?

The pricing FAQ says Sensible can process long documents, including mortgage applications spanning over 100 pages. It also notes processing can take from about 6 seconds up to 1 minute depending on whether OCR or an LLM is required.

Does Sensible support handwritten documents?

Yes. The pricing FAQ says Sensible can extract data from handwritten documents, although accuracy depends on the legibility of the handwriting.

Is Sensible suitable for sensitive or regulated data?

Yes. The pricing FAQ says Sensible supports sensitive documents and notes HIPAA, SOC 2, encryption in transit and at rest, custom regions, and configurable retention. Enterprise plans can also include SLA and additional controls.