Every value traced to coordinates on the source document
Per-field confidence scoring to drive automated review routing
Built for production pipelines rather than one-off processing
Free tier and trial for evaluation against real documents
Pros
Over a decade in the intelligent-document-processing market, with more than $300 million raised backing continued development
Human-in-the-loop review reduces the silent-error risk of fully automated extraction on messy real-world documents
On-premises deployment option fits regulated industries like insurance, government, and healthcare that can't send documents to a pure cloud service
Coordinate tracing makes extractions auditable rather than opaque
Confidence scores enable selective human review instead of blanket checking
Schema validation protects downstream systems from malformed data
Cons
Pricing is entirely custom and undisclosed, making it hard to budget without a sales cycle
Per-page charges, reportedly up to $1.50 a page in some deployments, can add up fast at enterprise document volumes
Built for large-scale, high-document-volume operations, more than a small business processing a handful of forms a day needs
Developer-oriented, with no interface for non-technical users
Requires defining schemas up front for each document type
Company
Hyperscience, founded 2014
Sensible Technologies, Inc.
Prices come from each vendor's pricing page, last checked 20260808. Check the vendor before you buy.
FAQ
Questions people ask
Is Hyperscience better than Sensible.so?
In our reviews Hyperscience scores 4.1 and Sensible.so scores 4.2. The better pick depends on the job. Hyperscience: Enterprise intelligent document processing with human-in-the-loop review. Sensible.so: Document data extraction with schema validation, source coordinates and confidence scores.
Sensible.so
Hyperscience
