Engineering deep-dives, customer stories, and product updates.
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Processing documents at scale requires balancing precision with flexibility. This guide demonstrates the 80/20 approach to document data extraction: using tailored document data extraction methods for high-volume vendors with consistent document layouts, while deploying LLM-based extraction methods to capture the long tail of less common vendors. It demonstrates applying this data-extraction strategy to paystub documents.

Proforma Global has created something unique in Europe: CARES Analytics, a cloud-based platform that automatically reconciles 100% of customs declarations with commercial invoices.

In the fast-paced world of excess and surplus (E&S) insurance, speed isn't just an advantage, it's a matter of survival. Ledgebrook, an insurtech company disrupting the specialty insurance market, has built their business model around what they call "Ledgebrook speed."

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.

Employment verification forms (VOEs) are critical documents in the lending industry, used to confirm applicant income and employment history. This guide demonstrates how to extract structured data from employment verification documents using Sensible's layout-based extraction methods, comparing approaches for different document formats.
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Explore how Sensible streamlines healthcare insurtech by simplifying data extraction from CMS-1500 forms. This guide offers step-by-step instructions for incorporating Sensible's document processing tools into your product.
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We're excited to announce a significant enhancement to Sensible's document extraction capabilities with the introduction of agentic LLM workflows.