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featured blog articles

How two financial companies automated bank statement processing

Two financial companies automated bank statement processing using Sensible's platform. A UK financial forensics firm required sophisticated data normalization to handle messy, complex documents from legal cases, while a Canadian lending platform prioritized speed and cost-efficiency for processing high volumes of cleaner statements.

How a fleet insurance company automated traffic citation processing

A global fleet management and insurance company automated traffic citation processing by using a hybrid approach (LLMs to handle 80% of citation documents and deterministic data extraction methods for the 20% edge cases). They now process thousands of violations daily, allowing for same-day fine payment and real-time updates to driver risk profiles. The approach proved effective because traffic citations, though widely variable in format, are short documents with clear field labels that suit LLM extraction well.

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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

About

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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.