We performed a comparison between HyperScience and IQ Bot based on real PeerSpot user reviews.
Find out in this report how the two Intelligent Document Processing (IDP) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It provides the best accuracy for handwritten forms, which is a struggle in the industry. You can take processes with a lot of manual work and streamline them through this tool."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"We have seen pretty good accuracy."
"One of the most valuable features of HyperScience is the user-training module. Whenever the extraction takes place, based on the way we have trained HyperScience, it would give us some success status or a certain confidence level. If the solution has processed something that it determined was not extracted correctly it will queue those items for manual review."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"It offers a pretty simple setup process."
"The initial setup was satisfactory."
"The valuable feature of IQ Bot is the AI functionality."
"IQ Bot uses AI technology to extract data from PDF files by analyzing and splitting a particular PDF file into separate groups."
"We have been using it only for two months, and so far, it is working fine. It is easy to use."
"IQ Bot efficiently extracts invoice data from various types of PDFs."
"IQ Bot is easy to use compared to some of the other solutions out there."
"IQ Bot's best features are its variety of outputs and how it handles structured documents."
"HyperScience could improve the unstructured data extraction feature."
"No solution is perfect and there are several different scenarios that could be improved in HyperScience. One area is where there are multiple tables in the same form I have seen HyperScience struggle. There is some issue with supporting the extraction from multiple tables involved on the same form. If this could improve, it would be a big benefit."
"The product's usability could be better. The first pain point is that we're getting the output in a different format, and we were expecting a different timetable. The second point is that if you want better results, HyperScience says you have to configure a minimal PDF or a maximum of 400 PDFs. If you want results with 400 PDFs for what's written by these doctors, then you also configure the maximum of 400 templates for that. So, it's essentially a lack of support from HyperScience. In the next release, it would be better if failure scenarios were reduced. It would also help if they offered different formats, inputs or injections, and added different scenarios."
"The solution lacks support for a greater range of languages."
"HyperScience has less capability while working on unstructured forms. Unstructured forms are those where there is no standard structure and the information can be anywhere on the form. They need to develop this capability."
"Extracting tables from certain documents could be improved."
"They could work on the price and make it a bit more reasonable."
"It was challenging to have to do the pre-processing and tax inputting on our own."
"When you update to a new version, you have to migrate your applications. That should be automated because it should not affect your ability to complete the task. If the version of the application changes, then you need to automate some part of that again."
"Migrating from the previous version to the current version is a little tricky."
"It should have more artificial intelligence to capture information from a document. Currently, our clients are preparing invoices manually. They are not digital, so we need to scan all the documents, but we are facing issues in capturing all the information through IQ Bot. Therefore, we have to use other tools to capture the information, and then we use IQ Bot to process all the information. They need to improve the artificial intelligence for document scanning."
"The first place it could be improved is its price - it is too high. I'm having a lot of difficulty moving it to the customers."
"If even a small change is made to a PDF format, IQ Bot may fail to read it and require me to go back and create a new learning instance."
"There are certain things that OCR engines are not capable of handling currently. For example, OCR engines pick up a slash as a question mark. They also don't have the capability to handle subcolumns in a column. It would be really helpful if they can add more OCR engines with advanced capabilities to handle such scenarios. We need more cognitive abilities in the OCR engines to deal with the most complex scenarios. We also need more advanced capabilities so that IQ Bot can give better results in terms of PDF quality. This is because we cannot expect the same quality from all the vendors and customers, and there might be scenarios where we get some sort of scanned copies."
"We face a few data extraction challenges when we use a huge data set with different formats."
HyperScience is ranked 5th in Intelligent Document Processing (IDP) with 7 reviews while IQ Bot is ranked 2nd in Intelligent Document Processing (IDP) with 48 reviews. HyperScience is rated 7.6, while IQ Bot is rated 7.6. The top reviewer of HyperScience writes "It has a lot of functionality, whatever we use, but a few things could be improved". On the other hand, the top reviewer of IQ Bot writes "User-friendly and code reusability feature for efficient utilization of existing code repositories". HyperScience is most compared with ABBYY Vantage, UiPath, Instabase, Microsoft Power Automate and Tungsten RPA, whereas IQ Bot is most compared with ABBYY Vantage, UiPath Document Understanding and IBM Datacap. See our HyperScience vs. IQ Bot report.
See our list of best Intelligent Document Processing (IDP) vendors.
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