Glossary

Extensions

The Rossum Extensions Environment effectively automates workflows and can provide new capabilities using pre-built or custom solutions.

For example, you can cross-check sums, pair extracted data against your database, or modify export data to meet the requirements of your external ERP system.

To learn more, visit this guide from our Developer Hub.

To learn about more terms, visit our glossary.

Instant learning (legacy)

A basic learning feature that enables Rossum to learn quickly based on customers’ previous annotations. It recognizes the document’s confirmed layout and then applies predictions based on this information to other documents with the same format.

To learn about more terms, visit our glossary.

Queue

It is a unique space where users can import documents that need to be processed.

Each queue has an extraction schema, which you can modify depending on the requirements.

Within a queue, users have the option to configure custom automation settings. You can also add extensions to improve document workflows when linking up with other systems.

To learn more about how to create a queue, you can visit this article from our Help Center.

To learn about more terms, visit our glossary.

Aurora for Instant Learning

Feature of Aurora AI that allows it to learn instantly from documents annotated by the users (human feedback) and use gathered knowledge to predict values on documents in the future.

Extraction schema

It defines which data should be extracted from incoming documents.

Go to Queue settings and select the “Fields to capture” tab to access the Extraction schema.
You can customize the labels, IDs for integration and export, data type, score threshold, visibility, and RIR field name for each field.

If you want to learn how to set up the Extraction schema in Rossum, check out our guide.

To learn about more terms, visit our glossary.

Workspace

A workspace acts as a folder where you can group related queues. It can represent a specific customer or region.

Read this guide to learn more about workspaces in Rossum.

To learn about more terms, visit our glossary.

Manage users view

The Manage users view is a space for Rossum account administration. Here an admin can add new users, assign them to a specific role and queue or deactivate them.

Once created, the User detail page provides more information and is an excellent place to keep track of current access management settings.

To learn about more terms, visit our glossary.

Validation screen

The validation screen is available for all imported documents in the main Rossum UI. Here a user can review and confirm data extracted from a document.

To learn about more terms, visit our glossary.

Document editing screen

The Document editing screen allows you to effectively edit documents. You can change page orientation, delete pages, and split single documents into multiple new documents.

To access it, click the Edit button on the right side of the document review page.

See this article for more information on document splitting options.

To learn about more terms, visit our glossary.

Data field

It is a single piece of information captured from a document.

You can modify a data field’s label, ID, and more for every queue. You can also hide them to speed up the validation process if preferred. 

For a more in-depth look at extracted field types, you can visit this link from our API documentation.

To learn about more terms, visit our glossary.

Pretrained data field

Data fields that Rossum’s Generic AI Engine captures automatically straight out of the box.

Check this link to learn more about the currently recognized data fields.

To learn about more terms, visit our glossary.

AI engine

Rossum’s unique AI engines incorporate neural networks to identify and extract document data. The two main types are the Generic AI Engine and the Dedicated AI Engine. Users can use either engine to achieve the desired results based on individual needs.

To find out which AI Engine you need, learn more about their differences here.

To learn about more terms, visit our glossary.

Annotation process

A process that involves collecting documents and highlighting the data required for extraction in a consistent and precise manner.

It is vital to have high-quality annotations to ensure that the AI engine learns what data is needed and successfully captures it.

You can learn more about annotations by reading our Annotation Guide.

To learn about more terms, visit our glossary.

Dedicated AI engine

It is a custom engine trained to recognize customer-provided data and is tailored to the customer’s specific data capture needs. Dedicated Engine helps process documents with diverse layouts. It can also extract custom data fields and increase levels of data capture accuracy over time.

It is a paid feature.

You can refer to this guide from our Help Center for a more in-depth look at how Dedicated AI Engine training works.

To learn about more terms, visit our glossary.

Custom data field

It allows the user to extract fields that the Generic AI Engine does not automatically capture.

You must adjust the queue schema if you want to add a Custom data field. Used alongside the Dedicated Engine, they enable the effective processing of documents with custom layouts and fields.

Read our guide to learn more about adding Custom data fields.

To learn about more terms, visit our glossary.

Generic AI engine

It is a pre-trained AI engine that recognizes a variety of datasets for several different use cases.

Currently available Generic Engines include:

To learn about more terms, visit our glossary.

 

 

Line item

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.

To learn about more terms, visit our glossary.

Bounding box

It is a blue rectangle that defines the position of captured data on the document’s validation screen. You can always edit or re-adjust it to ensure that the annotations are successful.

To learn about more terms, visit our glossary.

Magic Grid

The Magic Grid feature allows you to quickly and efficiently capture tabular data. With just a few clicks, you can quickly extract dozens or hundreds of items.

For more information about Magic Grid and how it works, see this user guide in our Help Center.

To learn about more terms, visit our glossary.

Schema editor

It is a section of Rossum where you can modify the extraction schema. You can specify which data fields should be captured in a specific queue. Custom fields and sections can also be added to allow the user to extract all required data.

To learn about more terms, visit our glossary.

Usage reporting dashboard

It is available from the Statistics tab and allows users to explore document-related information for all queues and workspaces. It is an excellent tool for continuous improvement on both an individual and team basis.

To learn more, visit our Help Center guide here.

To learn about more terms, visit our glossary.

Tab
It is a part of the main user interface. In Rossum, multiple tabs are available that relate to the status of a document for a given queue.
That includes To review, Postponed, Exported, Rejected, Confirmed, and Deleted tabs. Furthermore, the Emails tab allows you to track all documents imported to Rossum’s email inbox.
 
For more information about the document’s lifecycle in Rossum, check this guide from our Help Center.

To learn about more terms, visit our glossary.

Automation blocker

Admin and Manager level users can see the automation blockers (red “A” icon) on the validation screen. They appear when Rossum’s engine finds fields that block automation process.

To learn about more terms, visit our glossary.

Automate data extraction from your documents with Artificial Intelligence.
Free trial