Customizing data extraction

Extraction Schema Editor in Rossum

This article describes new extraction schema editor that is going to be released soon.Editor that is currently available is described here – LINK From this article, you will learn: The extraction schema lets you define the data to capture from documents uploaded to Rossum and other values to enrich extraction results (e.g., fields for values […]

Extracting tables with Line Item Editor

From this article you will learn: How can Rossum Line Item Editor help you? Imagine you need to extract tables from invoices and other documents in your business workflow. Manually retyping or even copy-pasting the values from documents can be exhausting and require a life-threatening quantity of caffeine to complete. Our Line Item Editor feature […]

Guide to Automation Process in Rossum

From this article you will learn: How does automation work in Rossum What do the various ticks on the validation screen mean What are the document automation levels What are field automation levels What are the automation blockers How does automation work in Rossum Ideally, all documents in the world should be processed automatically. Rossum […]

How to set up extraction schema in Rossum?

From this article you will learn: First steps in the extraction schema setup In the extraction schema, you can define the data to be captured from the documents uploaded to Rossum. In most cases, each queue has its own schema (it is possible to link one schema with multiple queues, but this is not a […]

How to add a field in JSON code editor

From this article you will learn: Rossum’s AI Engine can capture a predefined set of data fields from the very beginning. You will see those fields when you create a new queue from a given regional extraction schema template.  However, it is a common case that you need to create a new custom data field that you will extract from the documents. For this article, […]

Capturing Custom Table Data in Rossum

A basic element in the extraction schema is the data field. However, Rossum enables the capture of even more complex structures like tables. At the moment, Rossum’s AI engine automatically extracts 2 types of tables – Line items and Tax details. Both of them come with a variety of predefined sets of extracted data fields […]

Multivalue fields in Rossum

From this article you will learn: What is a multivalue field Why are multivalue fields so useful? You can use the basic data field in the Rossum extraction schema to extract a single value, e.g., extraction of Invoice Number. However, in some cases, you might need to extract multiple values under one field. For such […]

Understanding Rossum’s Data Extraction Billing

Rossum’s data extraction billing can be complex, but understanding which documents or pages are included in the billing is essential to managing your costs. Major aspect of our subscription is the volume allowance for document processing. The fundamental principle of Rossum’s data extraction billing is that we charge for pages processed by our platform. This […]

Supported Data Types In Master Data Matching

When using Rossum’s Data matching feature, you can upload various types of data representing the list of vendors, purchase orders, or delivery notes. However, each possible document type is a little bit different, and each field might need some pre-processing to achieve the best master data matching results. By default, Rossum supports data pre-processing for some […]

How to make fields in Rossum required

From this article you will learn: You may need your users to always capture value for a specific field. In such cases, Rossum should enforce capturing such a field by showing a specific message to the user. You can enable it in Rossum’s validation screen. This article will show you how to set the fields […]

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