UiPath Document Understanding Reviews & Product Details

What I like most about Document Understanding is its ability to combine AI and rule-based extraction in a single, easy-to-use platform. It offers an end-to-end solution, from document classification to data extraction and validation, while integrating seamlessly with RPA workflows. The pretrained model and human-in-the-loop validation make it both efficient and reliable for enterprise use cases. Review collected by and hosted on G2.com.

It provides a strong and reliable solution, though there are a few areas that could be improved. The initial setup—such as configuring taxonomy and training models—can take some time for new users, and achieving good results may require high-quality training data along with careful fine-tuning. Review collected by and hosted on G2.com.

I find it easy to extract details from both structured and unstructured documents using UiPath Document Understanding. The ML extractor is the best part; we can train our model and then use it in our process. The initial setup was good, and the documentation helped a lot. Review collected by and hosted on G2.com.

It is difficult to use with handwritten documents as we cannot annotate those. The LLM or ML engine working on the backend should be improved, so that it can recognize the fields without much annotation correctly. Review collected by and hosted on G2.com.

It processes documents without needing to open and read them manually, and it can extract data accurately depending on the quality of the document. This makes it easier to use the document data for further processing. Review collected by and hosted on G2.com.

Training the documents takes most of the time, and when new documents come in, it becomes difficult to process them without labeling and training them first. Review collected by and hosted on G2.com.

What I find most attractive about UiPath Document Understanding is its accuracy in reading PDF content and identifying the fields without mistakes. In my experience, it feels like one of the most reliable and best tools available on the market for extracting data from PDFs. Review collected by and hosted on G2.com.

As many of you may know, UiPath licenses are too expensive, and the same goes for UiPath Document Understanding. The pricing is really hard to justify and bear. Also, the tool’s accuracy depends heavily on how well the models are trained. Training the models to match our requirements can be a bit time-consuming, but the more we train, the better the accuracy becomes. Review collected by and hosted on G2.com.

I like UiPath Document Understanding because of how accurate the extracted data is. It also provides a success ratio for the extraction performed on a specific document, which I find really valuable for understanding the results. The initial setup was very easy as well, thanks to the clear guidelines and the support available. Review collected by and hosted on G2.com.

I really wish Document Understanding could also handle image extraction on its own, with the help of IXP. Review collected by and hosted on G2.com.

With the benefits of having ML packages that are valid for various document types, it makes the job of a developer very easy to meet business ends Review collected by and hosted on G2.com.

The removal of the out of the box packages is a drawback Review collected by and hosted on G2.com.

It can read and extract data from almost any document (structured or unstructured) with minimal setup Review collected by and hosted on G2.com.

You often need to spend time training models, validating results, and fine-tuning extraction—especially for complex or low-quality documents. This can add extra effort before it works reliably. Review collected by and hosted on G2.com.

DU now supports active learning, which reduces annotation/training effort by guiding users via AI. Non-ML experts can train models with help from the system Review collected by and hosted on G2.com.

High dependence on human-in-the-loop for low-confidence fields can limit the straight-through automation rate, especially for critical documents. Review collected by and hosted on G2.com.

In the latest release they have combined document understanding with IXP and which has lot of features like self training and it is very easy to use and any body can work with this. Review collected by and hosted on G2.com.

The cost is on higher side and it can handle only files with 100 pages or 10000 characters, if it is more you have to split your files. Review collected by and hosted on G2.com.

Document Understanding has helped me get data from a document extracted easily. The point which added to it is its ability to process unstructured Document and get the data separated with ease. NLP and Machine Learning adds to train the data to sort document. Also OCR plays an important roles in extracting data Review collected by and hosted on G2.com.

The training of Machine Learning with smaller data is tough. Accuracy of extracting data is not easy with smaller datasets for training Review collected by and hosted on G2.com.