In the last, month we made both an improvement and a breaking change to our support for extracting from Excel documents. We also updated our large language model (LLM) support for the List method and Query Group method in response to end-of-life GPT versions.

In the last month, we released a new feature for visualizing extracted data in the JSON editor and advanced configuration for several layout-based methods.

In the last month, we released a major new feature to enable manual review and correction to your document extraction process. We also released support for an Anthropic large language model (LLM) and support for a cutting-edge LLM approach to locating the answer to your prompts in the document.

In the last month, we made UX improvements to the Sensible app, added advanced configurability to the Intersection method, and added a new preprocessor.

In the last month, we made several improvements to the web app user experience and deprecated the Topic method.

In the last month we released support for GPT-4 Vision, so you can extract information from non-text images in documents. We also released a new recommend query groups feature, so you can upload and extract data from a document with a few button clicks instead of having to author your own LLM prompts. We added a new filterable extraction status, deprecated several methods, and made several improvements to advanced configurability.

In the last month, we released support for extracting data from Excel files and added Google sign-in support to the Sensible app. To teach users how to author LLM-powered queries, we added example extractions to the app. We deprecated the Query method and replaced it with the Query Group method to improve LLM performance, deprecated the Table method and replaced it with the NLP Table method, and made several minor improvements.

In the last month, we improved the config-authoring experience in the Sensible app, added advanced features for sections and for the Custom Computation method, and made minor improvements to several SenseML methods.

In the last month, we added the ability to batch upload and extract from documents in the Sensible app. We also improved the user experience by adding a new Integrations tab for developers, and by auto-extracting data from new user's first documents. We improved LLM-based methods, and added advanced options for layout-based extractions, including the ability to transform extracted fields with your own custom logic.

In the last month, we released an open-source Python SDK that offers convenient access to the Sensible API, added advanced configuration options for the LLM-powered List and NLP Table methods, and made minor improvements to other features.