The 2026 Buyer's Guide to Intelligent Document Processing
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A construction compliance software company had given up on automating payroll report data extraction after every vendor they tested failed to handle the documents' OCR challenges, format inconsistencies, and dense tabular layouts. Sensible solved the problem by combining deterministic layout-based methods with targeted LLM extraction for trouble spots, along with aggressive text preprocessing and customer-specific configurations rather than one-size-fits-all templates. The key lesson: hybrid approaches and "good enough" automation with some manual review beat either holding out for a perfect universal solution or resigning yourself to pure manual entry.
A healthcare benefits company processing Explanation of Benefits (EOB) documents from 20–40 insurance carriers needed a fast, accurate way to extract and normalize data across all those formats. By using Sensible's layout-based extraction methods alongside a postprocessing layer to enforce a consistent output schema, they went from signed contract to 30 live configurations in under two months. The implementation succeeded by matching deterministic extraction techniques to well-structured documents, proving that deterministic methods, applied thoughtfully, outperform more complex LLM approaches when the documents don't require them.
Parse bank statements, pay stubs, tax forms, and more
Parse loss runs, ACORD forms, policies, and more
Parse offering memos, closing disclosures, rent rolls, and more
Parse rate confirmations, bills of lading, invoices, and more
Parse EOBs, policies, payer confirmations, and more
Leverage Sensible's solution engineers to tackle any document automation use case
Real-time bank statement processing
Extract identification details from driver's licenses
Instantly parse policy declaration pages
Extract data from utility bills in seconds
Bringing structure to unstructured data
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Sensible is SOC2 certified and HIPAA compliant
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Learn more about Human Review: a powerful new feature that allows you to easily add manual oversight to your document extraction process.
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.
Sensible’s approach and how it works
Explore powerful tools and methods
Hear stories from real Sensible users
How Sensible extracts structured data from documents.
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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.
We're excited to announce a significant enhancement to Sensible's document extraction capabilities with the introduction of agentic LLM workflows.
