Use SenseML to extract structured data from a trucking rate confirmation PDF.
Learn SenseML with our new interactive walkthroughs after you sign up for a free Sensible account.
Extract useful data from personal PDFs, like old bank statements or gas bills, with Sensible
Loss runs are full of valuable information about an entity's risk profile, but the density of information means that there's more room for human error if you're relying on manual data entry. Learn how Sensible handles a loss run's complex structure to extract clean, tabular data automatically.
Mortgage underwriting portfolios, with multiple documents per PDF, present unique challenges for data extraction. We show how to overcome those challenges.
Get up and running on Sensible in minutes using our pre-built configurations for common document types.
Use these techniques to minimize your extraction times.
Discover how Marble used Sensible to get to 2,000 members and $2MM of tracked premiums with just one ops person.
Use SenseML to extract structured data from the ACORD 25, a certificate of liability insurance.
Use these techniques to avoid the time, cost, and accuracy drawbacks of OCR.
Learn how Inspectify reduced the time it took for their team to process a home inspection report from 15 minutes to 5 using Sensible.
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.