There is room for improvement regarding the data extraction and OCR capabilities in OpenText Capture, especially with the advancements in LLMs and various extraction methods such as CVision. The product is not simplified, particularly on the developer front. While they are introducing many AI capabilities, this is making the product more complex. They need to work on making the technical aspects more accessible for developers and users as they add more AI capabilities.
Co-founder & Solutions Architect ECM CCM & Electronic Signature at Sabil IT
Real User
Nov 1, 2023
The area for improvement primarily centers around licensing concerns rather than technical issues. Captiva, intended for larger clients, poses challenges for medium and small businesses due to licensing costs. The current licensing model is based on volume, such as purchasing a volume for one million dollars per year for scanning. This pricing structure may be prohibitive for companies with constrained budgets. Another aspect requiring attention is the mobile capture feature, which, although experiencing recent enhancements in intelligent document processing through AI, could benefit from further improvements. Specifically, there is room for enhancement in enabling users to efficiently capture documents using their smartphones.
Managar at a computer software company with 1,001-5,000 employees
Real User
Oct 25, 2022
Knowledge of .NET is required to effectively use the solution or it can be complicated. I was able to train customers to use the solution if they had some .NET experience. The solution should offer a lightweight version that includes the OCR or document scanning and does not include the entire enterprise package with custom scripting.
The only issue is if something is handwritten and attached to an email, it doesn't capture the information correctly. So it has to be an invoice from the machine. It will be good to employ some robotic process automation for future improvements. This feature will be beneficial once we better understand the business requirements.
Senior Director, Platform Engineering at a real estate/law firm with 10,001+ employees
Real User
Nov 15, 2021
I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents. Let's say I stored a pitch document that I created for client X, and then I open it and store it again, even though the name of the document may be the same or different, it should be able to look at the contents and compare the two documents, including content, signatures, and the digital footprint of these two documents and be able to smartly come back and say don't store one more version. It should use the reference to existing documents. That would go a long way. I haven't seen those features. That's something I would like. This could be done with AI or it could be as simple as in security. You can look at the footprint and you can create a signature of the original document using some security algorithms, like the hashing functions. Then, the next time a document comes you can create a signature and compare these two if any content is different. If content is different, signatures end up being different. If content is the same, they end up being same. You just compare them. I would like to see OCR capabilities. We also look at lease abstraction. So we have hundreds of pages of lease documents that we need to create a summary of. It could use some AI capabilities that would read the document and create a summary and some OCR capabilities that could extract specific elements off the documents to be used to automate a business process.
OpenText Capture leverages machine learning for effective document extraction and automated vendor invoice management, boasting powerful integration capabilities with CRM systems and an efficient OCR tool. Its platform supports API interaction for comprehensive document management. OpenText Capture enhances document processing through accurate indexing with machine learning and efficient image capture via OCR, integrating data into systems like ECM and ERP. Users benefit from streamlined...
There is room for improvement regarding the data extraction and OCR capabilities in OpenText Capture, especially with the advancements in LLMs and various extraction methods such as CVision. The product is not simplified, particularly on the developer front. While they are introducing many AI capabilities, this is making the product more complex. They need to work on making the technical aspects more accessible for developers and users as they add more AI capabilities.
The area for improvement primarily centers around licensing concerns rather than technical issues. Captiva, intended for larger clients, poses challenges for medium and small businesses due to licensing costs. The current licensing model is based on volume, such as purchasing a volume for one million dollars per year for scanning. This pricing structure may be prohibitive for companies with constrained budgets. Another aspect requiring attention is the mobile capture feature, which, although experiencing recent enhancements in intelligent document processing through AI, could benefit from further improvements. Specifically, there is room for enhancement in enabling users to efficiently capture documents using their smartphones.
Knowledge of .NET is required to effectively use the solution or it can be complicated. I was able to train customers to use the solution if they had some .NET experience. The solution should offer a lightweight version that includes the OCR or document scanning and does not include the entire enterprise package with custom scripting.
The only issue is if something is handwritten and attached to an email, it doesn't capture the information correctly. So it has to be an invoice from the machine. It will be good to employ some robotic process automation for future improvements. This feature will be beneficial once we better understand the business requirements.
It can be more user-friendly, and it should also have more reporting capabilities. There are also a few other things that need improvement.
I would say what most of the document management solutions are lacking is smartness to detect the duplicate storage of the documents. Let's say I stored a pitch document that I created for client X, and then I open it and store it again, even though the name of the document may be the same or different, it should be able to look at the contents and compare the two documents, including content, signatures, and the digital footprint of these two documents and be able to smartly come back and say don't store one more version. It should use the reference to existing documents. That would go a long way. I haven't seen those features. That's something I would like. This could be done with AI or it could be as simple as in security. You can look at the footprint and you can create a signature of the original document using some security algorithms, like the hashing functions. Then, the next time a document comes you can create a signature and compare these two if any content is different. If content is different, signatures end up being different. If content is the same, they end up being same. You just compare them. I would like to see OCR capabilities. We also look at lease abstraction. So we have hundreds of pages of lease documents that we need to create a summary of. It could use some AI capabilities that would read the document and create a summary and some OCR capabilities that could extract specific elements off the documents to be used to automate a business process.