What do you like most about UiPath Document Understanding?

The solution allows us to continue with vendors whose information comes in correctly and to stop the automation for vendors with many items that are not clearly defined.

The most valuable feature in UiPath Document Understanding is the identification of the fields column in the PDF documents.

We are working with 40,000 different vendor templates. Document Understanding can understand and process various formats without much manual effort to configure the templates. That wasn't the case when we were using Microsoft.

Invoice processing is the most valuable feature. Most of my customers use Document Understanding for invoice processing. That's one of the most common use cases. Typically, each customer starts their RPA journey with the finance department because that's the area where you can see the most benefit.

AI Center is helpful for creating data sets. Machine learning helps with some extraction. The ML extractor gives good results after training.

The quality of the input documents is crucial because sometimes healthcare providers prefer automated processing rather than human review.

The highly visual and user-friendly interface was a standout feature.

The prebuilt algorithm for extracting foreign invoices is the most valuable feature because it eliminates the need for us to build anything from scratch.

The scalability it offers is truly exceptional, making it arguably the best in the market.

The entity-level extraction is very good. The workflow is also very good.

Document Understanding has better machine learning or ML capabilities, and that is why I prefer Document Understanding.

I believe the most valuable feature is the prebuilt algorithm for extracting information from foreign invoices.

I like the clear and organized way in which UiPath has structured the labeling process, as well as the user-friendly development environment.

The best feature is pre-labeling, as it eliminates the need to manually label each data point.

It's great for document understanding for invoices and installments.

One of the most valuable features is the intelligent recognition of the fields. The algorithm is able to recognize them based on the pattern. Also, the machine learning model enables you to use predefined solutions. The machine-learning capabilities of the solution are very cool.

The taxonomy and Validation Station are among the most helpful features for us. If anything is extracted incorrectly, we can manually extract it there.

The solution removes manual processes and reduces human dependency. It takes a lot of effort to go through each physical mail or email, extract the data and transfer it to Excel. However, the solution automates the process and works 24/7.

The tool gives a complete package to process and understand documents. The valuable features include taxonomy modification, classification, workstation, etc. There are out-of-the-box features like ML models which you can custom build.

We have saved time with UiPath Document Understanding. We have seen a 50 percent improvement in scanning processes. Compared to humans, the tool runs 24/7. The human error rate has also been reduced. Our human error rate is five percent now compared to the previous 15 percent.

UiPath Document Understanding has also freed up our staff who now spend more time on critical tasks.

I like UiPath's machine-learning capabilities. My first impressions were good, but we only use it in a few processes. We intend to expand our use of these features in other situations, but we're still learning how to use the AI functions. We use the OCR much more.

The solution is quite stable, and I am happy with its performance in my programs and processes.

Document Understanding's best features are the action center and verification mode.

The best feature, in my opinion, is, we can train the document using a machine-learning classifier.

Has a very good machine learning feature.