Changelog

In the last month, we released powerful new web app UX improvements, as well as improved checkbox and date recognition and other improvements.

In the last month, we released several feature improvements, including the ability to choose a geographic-specific Sensible instance for regulatory or business needs, web app UX improvements, and enriched API metadata.

In the last month, we released several feature improvements, including the ability to view deskewed documents in the Sensible app and an increased limit for Google OCR.

In the last month, we released several feature improvements, including the ability to match the most frequently repeated value for a repeated anchor and fuzzy matching for the Currency type.

In the last month, we released several new features, including the ability to correct scanned documents' scale, fuzzy matching, and programmatic control over your extraction configuration. We also made improvements to box recognition and added support for viewing the web app on mobile devices.

In the last month, we released several new features, including support for extracting from image documents (PNG and JPEG), a powerful new column-recognition capacity in our Sections feature, the ability to add your own custom data types, and more.

In the last month, Sensible launched a self-serve sign-up that includes a free-forever tier, no credit card required. We also introduced a new feature that lets you extract choices from a radio button group or other field group. We made several feature improvements, including a richer API response, and a customizable date type.

In the last month we released a new document generation API that lets you fill PDF forms, and made several feature improvements.

In the last month we’ve made several minor feature and web app UX improvements while focusing on our upcoming launch of a self-serve signup flow (stay tuned).

In the last month we’ve introduced the ability to associate reference documents to configurations, a new Nearest Checkbox method, and several improvements to existing features.