We compared ABBYY VantageI and UiPath Document Understanding based on our users' reviews in across various parameters. After reading all of the collected data, you can find our conclusion below.
ABBYY Vantage is praised for its exceptional OCR capabilities, automation workflows, and data extraction functionality. Users appreciate its integration capabilities, fair pricing, and positive ROI. However, some users have pointed out areas for improvement in the user interface, integration capabilities, OCR accuracy, and pricing concerns. UiPath Document Understanding is known for its quick setup and implementation process, high accuracy in data extraction, efficient processing speed, and seamless integration with other UiPath tools. Users find the pricing competitive, with flexible licensing options. The software has received positive feedback for its ROI, although users have highlighted the need for improvements in accuracy, performance, flexibility, and user experience. Additionally, users highly praise the customer service and support provided by UiPath Document Understanding, finding it to be top-notch and responsive.
Features: ABBYY Vantage stands out for its robust OCR capabilities and flexible automation workflows. UiPath Document Understanding excels in high-accuracy data extraction and seamless integration with other UiPath tools. ABBYY Vantage focuses on flexibility and efficiency in automation workflows and is highly praised for its data extraction functionality. UiPath Document Understanding is known for its high accuracy in data extraction, extensive document type support, and fast processing speed.
Pricing and ROI: ABBYY Vantage's setup cost is relatively low compared to similar products, with a fair and reasonable pricing structure. UiPath Document Understanding offers competitive pricing with straightforward setup and flexible licensing options tailored to individual needs. ABBYY Vantage offers increased efficiency, accuracy, and cost savings, with automation and insights. UiPath Document Understanding provides improved efficiency, accuracy, and time-saving capabilities, highlighting productivity and streamlined processes.
Room for Improvement: ABBYY Vantage could improve in user interface, integration capabilities, OCR accuracy, and pricing. UiPath Document Understanding users suggest enhancements in data extraction accuracy, software performance, customization options, and user experience design.
Deployment and customer support: ABBYY Vantage takes longer to deploy/set up. UiPath Document Understanding has a quicker setup and implementation process, with faster deployment and less time to get started. ABBYY Vantage customer service is praised for being efficient and knowledgeable, while UiPath Document Understanding is described as top-notch and effective. Both offer quick issue resolution and helpful support teams.
The summary above is based on 94 interviews we conducted recently with ABBYY Vantage and UiPath Document Understanding users. To access the review's full transcripts, download our report.
"The machine learning capability is pretty good."
"The initial setup is not difficult. The vendor provides technical documents to assist with deployment."
"Verification Station is valuable."
"Identifies and extract relevant elements from a document."
"The most valuable feature of ABBYY FlexiCapture is the accuracy of the general extractions."
"Time-saving with increased levels of accuracy."
"It's easy to use."
"The solution's AI technology is genius."
"Document Understanding's best features are the action center and verification mode."
"In UiPath Document Understanding, I use two extractors. One is the Intelligent Form Extractor and the other is the Machine Learning Extractor. The first one is very useful and user-friendly. When we have a single template or two to three templates, Intelligent Form Extractor is much easier to use. But if we have multiple templates, it's better to go with ML Extractor as you can train the model with different templates."
"The most valuable feature in UiPath Document Understanding is the identification of the fields column in the PDF documents."
"Document classification is very good."
"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."
"Has a very good machine learning feature."
"Scalability-wise, I rate the solution a nine out of ten...The solution's technical support is good."
"There are many features that can be added to the action center to keep humans in the loop to evaluate the accuracy of the extracted data."
"The generic models have a lot of areas to improve. In our experience, we are not able to get good results in the generic models. From a developer's point of view, there could be more improvement if the source code is available on a broader scope"
"There are certain controls like radio buttons and checkboxes that when reading PDFs, really doesn't go well with the RPA."
"The modelling, classification and handwritten information are not great."
"They can have more advanced workflows. They can have some custom status in their workflow. It was there, but they can introduce more cases such as triggering an email or interacting with other systems with APIs. They can be included as stages in their workflow rather than doing it all by scripting."
"The integration with UiPath is not good. I would like to see more documentation and guides to help gain more in-depth knowledge of how to use ABBYY FlexiCapture."
"There is an area of improvement. For example, when we read the data from the OCR, the accuracy is not good."
"It's important to incorporate image detection for signatures or other handwriting elements."
"ABBYY Vantage could improve the processing of handwritten notes."
"The licensing model poses a significant challenge due to the fee charged for posting a model, which impedes the development of productivity-enhancing models."
"The extraction and classification process should be simplified."
"The documentation should be more clear, or better training should be provided."
"Sometimes, when the number of items is very large, the solution doesn't properly identify them."
"There is also room for improvement in long-running table extraction. If a table continues for more than 10 pages, in some cases, we have observed that it only extracts six or seven pages and skips the last pages."
"At times, the scanning functionality of the tool may fail to generate accurate output, resulting in the need for manual input."
"This is an expensive solution."
"UiPath Document Understanding's ability to read handwritten files has room for improvement."
More UiPath Document Understanding Pricing and Cost Advice →
ABBYY Vantage is ranked 1st in Intelligent Document Processing (IDP) with 46 reviews while UiPath Document Understanding is ranked 3rd in Intelligent Document Processing (IDP) with 45 reviews. ABBYY Vantage is rated 8.0, while UiPath Document Understanding is rated 8.2. The top reviewer of ABBYY Vantage writes "Genius-level AI with very easy setup and implementation processes". On the other hand, the top reviewer of UiPath Document Understanding writes "Is easy to configure, user-friendly, and produces accurate results". ABBYY Vantage is most compared with UiPath, HyperScience, Microsoft Power Automate, Tungsten TotalAgility and OpenText Intelligent Capture, whereas UiPath Document Understanding is most compared with Instabase, Tungsten TotalAgility, Nanonets, IQ Bot and OpenText Intelligent Capture. See our ABBYY Vantage vs. UiPath Document Understanding report.
See our list of best Intelligent Document Processing (IDP) vendors and best Robotic Process Automation (RPA) vendors.
We monitor all Intelligent Document Processing (IDP) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.