The Rossum Extension Environment allows extending the validation process with extra activities that the Rossum platform does not do by default. More information can be found here: https://developers.rossum.ai/docs/first-extension-steps .
The default learning functionality that makes Rossum learn some basic knowledge based on user’s annotations and helps to fine tune the results extracted by the Rossum AI engine.
A queue is a space into which users import documents they want to process. Each queue has an extraction schema linked to it.
Defines the data that should be captured from each document.
A folder where users can group different queues together.
Space for Rossum account administration. Users and queues can be created and updated in this space.
Screen for reviewing and confirming data extracted from a specific document.
The document editing screen enables you to easily manipulate the documents you’re processing. Capabilities include turning pages, deleting pages, and splitting single documents into multiple new documents.
A single piece of information that should be captured from a document.
A data field whose values can be automatically captured by Rossum’s AI engine out of the box.
Rossum’s unique neural network engine that can identify and extract document data based on a document’s layout.
The process of collecting documents with correctly highlighted data that is required for training a dedicated AI engine.
AI engine trained to recognize customer-provided data for the customer’s specific data capture requirements.
The generic AI engine is pre-trained to recognize Rossum’s general dataset of semi-structured documents. Rossum currently supports only one type of generic AI engine which has been trained to recognize invoices and purchase orders. See the list of supported fields.
A line item is any product or service listed in an invoice or any other type of document. Line item data includes quantity, price, and other relevant attributes.
An element that appears in the validation screen, a bounding box is a blue rectangle that defines the position of captured data in a document.
Tool that visually captures tabular data.
The schema editor is a part of Rossum where you can adjust your extraction schema to capture the necessary data fields.
Usage reporting enables you to explore information about your company’s Rossum usage. More information can be found here: https://rossum.ai/help/article/exploring-usage-reporting-dashboard/ .
In other words status in which are your documents. Available tabs within Rossum UI are to review, postponed, exported, deleted.
The “eye icon” suggests to manually review the field, due to the lower confidence of the automated extraction. It can be influenced by the automation setup.