Extracting data from rate confirmations
SenseML tutorial: extract load ID, total rate, receivers, and trailer type from a trucking rate confirmation PDF using label, row, and regex methods.
Debuting self-serve walkthroughs
Sensible now ships interactive walkthroughs that teach you to write SenseML configs hands-on, inside a free account. Sign up to learn extraction step by step.
Extracting data from your personal PDFs: analyzing utility bills
Tutorial: use a free Sensible account to write SenseML queries that pull structured data from personal PDFs like gas bills, then export it to a spreadsheet.
Extracting data from mortgage underwriting portfolios with Sensible
Mortgage underwriting portfolios, with multiple documents per PDF, present unique challenges for data extraction. We show how to overcome those challenges.
Introducing the Sensible configuration library
Get up and running on Sensible in minutes using our pre-built configurations for common document types.
Optimizing PDF extraction performance with Sensible
A technical guide to cutting Sensible extraction times: what slows processing (OCR, table recognition, pixel methods), faster SenseML queries, skipping configs.
Building an insurance wallet with Marble
Discover how Marble used Sensible to get to 2,000 members and $2MM of tracked premiums with just one ops person.
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Extracting data from certificates of insurance
A hands-on SenseML tutorial: extract structured data from an ACORD 25 certificate of liability insurance PDF, building configs with label and row queries.
Solving direct text extraction from PDFs
When PDFs have embedded text, skip OCR. How to extract it directly, the line-and-bounding-box data model to use, and the parsing pitfalls to handle.
Streamlining workflows with Inspectify
Learn how Inspectify reduced the time it took for their team to process a home inspection report from 15 minutes to 5 using Sensible.
PDFs are no longer where data goes to die
There is a lot to like about paper documents and PDFs. They're easy for people to use and understand. Businesses use them to work with other businesses without pre-planning and coordination. Some documents are even elegant in their design and their representation of data. But as software eats the world, these documents are a major cause of indigestion.