The 2026 Buyer's Guide to Intelligent Document Processing

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featured blog articles

How two healthcare organizations automated document processing

Two healthcare organizations automated their document processing using Sensible. Company A, processing cardiac device reports for organ donation screening, built 50+ extraction configurations entirely on their own through self-service, reaching production faster than almost any other customer. Company B, a pathology lab handling handwritten requisition forms, partnered closely with Sensible's team to build configurations with sophisticated normalization logic that could handle handwriting and variable scan quality. Both chose deterministic, layout-based extraction methods (Company A for transparency and independence, Company B for consistency and accuracy), while Company B also built a generalized LLM extraction configuration for edge cases.

How two companies tackled utility and telecom bill processing with contrasting approaches

Two companies tackled utility and telecom bill processing with Sensible, but their implementations couldn't look more different. One processes thousands of bills monthly across 2,000+ carriers, requiring complex conditional logic to handle schema variations—like associating charges with meters even when they appear in separate sections of the document. The other processes documents stretching to tens of thousands of pages, using custom engineering to intelligently split and reassemble massive files while preserving data integrity. Both chose deterministic, layout-based extraction over LLMs because their documents were too complex and their schema requirements too strict for probabilistic approaches.

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Solutions

documentation

Financial Services

Parse bank statements, pay stubs, tax forms, and more

Insurance

Parse loss runs, ACORD forms, policies, and more

Property

Parse offering memos, closing disclosures, rent rolls, and more

Solutions

documentation

Logistics

Parse rate confirmations, bills of lading, invoices, and more

Healthcare

Parse EOBs, policies, payer confirmations, and more

Custom

Leverage Sensible's solution engineers to tackle any document automation use case

Extract

documentation

Bank Statements

Real-time bank statement processing

Driver's Licenses

Extract identification details from driver's licenses

Policy Declaration Pages

Instantly parse policy declaration pages

Utility Bills

Extract data from utility bills in seconds

Pricing Docs

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Bringing structure to unstructured data

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company news

Introducing Human Review: increase extraction accuracy with manual oversight

Learn more about Human Review: a powerful new feature that allows you to easily add manual oversight to your document extraction process.

Multimodal Engine for complex document extraction

Sensible’s new Multimodal Engine uses LLMs to extract data from non-text and partial text images embedded in a document, including pictures, charts, graphs, and handwriting.

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How Sensible extracts structured data from documents.

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documentation

featured blog articles

Introducing email data extraction

With email-driven document extraction, organizations can automatically extract structured data from document attachments by simply forwarding emails to Sensible. Using LLM-based classification, the platform intelligently processes any number of attachments per email, optionally parses email bodies, and delivers comprehensive extraction results with metadata via webhook—eliminating manual document handling across industries.

Introducing agentic AI workflows for document extraction

We're excited to announce a significant enhancement to Sensible's document extraction capabilities with the introduction of agentic LLM workflows.

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OFFICIAL GUIDE RELEASE

The 2026 Buyer's Guide to Intelligent Document Processing

Whether you're a Startup Founder, Product Leader, or Engineering Head, deciding on a document parsing strategy is a critical 2026 milestone. This guide provides the definitive roadmap for evaluating the AI landscape, from internal builds to production-ready platforms.

INSIDE THE 14-PAGE GUIDE