I primarily use IBM Datacap ( /products/ibm-datacap-reviews ) for data capture and scanning documents with OCR. Specifically, it's used for DocuSign ( /products/docusign-reviews ) as well.
Software Development Senior Specialist at a tech vendor with 10,001+ employees
Real User
Top 10
Dec 19, 2024
My client is GM Financial, which is based out of Arlington in the US and is involved in insurance. All documents are scanned and extracted, and later, the workflow is initiated inside FileNet, another IBM tool. It is an end-to-end process that they are using, and some processes involve batch files being extracted and directly exported to FileNet.
IT ECM specialist at a pharma/biotech company with 11-50 employees
Real User
Dec 27, 2023
We have structured documents that need to be scanned. After the scan is completed, it is reviewed by one of our administrators, and then the documents are stored in the repository.
Sales Manager - Government Sector at Summit Technology Solution
Reseller
Oct 24, 2023
We mainly use it for our customer who had specific requirements related to Datacap Insight Edition and the machine learning aspect. We needed to integrate Datacap Cloud into our system to meet those needs. If I don't have extensive experience in this area, there's a gap, and we're working closely with IBM's technical team to ensure we can provide the necessary solution to our customers because our in-house engineers might not have the expertise to handle this aspect on their own.
We use IBM Datacap for data compaction on several different document types. Users can scan the documents and they can upload them to the backend repository where they're stored. There are a least seven types of applications. For example, one of our clients is the department of human services in Hawaii. They need to know when someone qualifies for financial assistance if they are elderly, pregnant, etc. Now I handle data capture, and IBM Datacap is part of my current project. They're using Datacap as a scanner portal for connecting and scanning the data capture, setting up indexes, etc. My product is an online eligibility system. The user can check their eligibility by filling out that application form. They can fill out that application and enter the necessary information, including the supporting documents like adoption documents, degree verification, etc. They upload the requirements to show they are eligible for renewal. Datacap helps them select the application type, and there is a barcode index form. Datacap performs a step-by-step classification and verification process. It will go through each classification step and verify the data. In the end, it exports the data to the correct repository. Various types of documents are there, so the user can select one and upload it to the document index. All documents will be stored in that data system. We can use them anywhere.
Our use case was related to processing documents that were coming in for the purpose of trade finance. We would scan in the documentation that came from our customers, and we would train the Datacap system to basically recognize certain keywords, pull out the information from the document, and forward this important data to another system. I'm no longer working directly with that customer. My relationship at that point was that we were specialized consultants in the ECM field, and that particular company was our customer. So, we had a vendor-customer relationship with them.
Software Development Senior Specialist at a tech services company with 10,001+ employees
Real User
Jan 26, 2022
I have worked on many projects at this company. The first project was primarily web services. They have a separate service, so we need to validate the account number. Datacap is a scanning tool. If a person enters their account number, that will be validated by a separate server, and we use web services to validate that. Once validated, it'll connect to another server to fetch that account number based on the customer's name. We do all the validations via web services. We are slowly moving into the cloud, but they are still using some mainframe technology. We plan to move all applications into the cloud in 2022. First, we'll do all our development on-premises then move to the cloud. IBM has its container environment called CP4BA, so we'll use that to migrate our development applications.
Manager - Software Development at a transportation company with 1,001-5,000 employees
Real User
Dec 28, 2021
We use Datacap for scanning Proof of Delivery and Proof of Pickup from our delivery agents and drivers. We have a defined workflow in Datacap, and we process these documents into our imaging system and PODs or POPs for paying the drivers and agents for deliveries.
IBM Datacap is very good Product for those company which needs to make OCR & ICR. You can completely manage the document management lifecycle: from acquisition , most can be authomatized, to recognition and conservation (integrating with a content management). Datacap is also very good on hand written recognition and enough easy on programming and managing.
We use it to capture documents issued from the business processes. For example in the sales department during the exhibition of our business process, we procure a huge amount of documents that are in paper format. To make it easier, we use Datacap to use the OCR in order to extract data from the documents to make the research of the documents easier for our clients. I have around 40 people on my team who are in charge of digitizing the documents. We have to start with the existing documents to make the gap smaller between the past and present documents. Once we finish with one department, we have to give them the means to digitize the work and the ability to do it themselves and continue the work. I am dedicated to code digitization which concerns too many documents at the same time. The batches are very heavy. In the same batch, we can have up to 14 folders and each folder can contain up to 1,000 pages. It's different than classic capture in which the employee has one or two documents and wants to implement them in the solution.
Product Lead at a financial services firm with 10,001+ employees
Real User
Jun 18, 2019
We are using the tool to capture data from bills that customers send in. It is not used on the business side. It is on the back-end side, and it is sort of automated. We process things for the digital channel.
Operations Specialist at Fairfax Data Systems, Inc.
Real User
Oct 9, 2018
Most of the algorithms in IBM Datacap are for capturing information on physical, tangible pieces of paper or documents, allowing them to be scanned, and associating them with an automated workflow. Datacap can work in conjunction with FileNet most of the time. However, Datacap allows companies or government municipalities to take in information, scan it, and have it in a centralized database, so you can have an automated workflow structure for it. It speeds up a lot of internal processes, reduces human error, etc.
IBM Datacap is a imaging platform that our company specializes in from a developer/architecture perspective. It is a platform, so you can write any type of capture or advanced imaging application. It produces great value and results.
Datacap Practice Director at a tech services company with 1,001-5,000 employees
Real User
Oct 9, 2018
With Datacap, use cases are really across the board. Accounts Payable seems to be a really popular use case in terms of invoices, but we do everything from insurance to financial services, to state and local government. The great thing about capture is that every company has documents they need to capture in some format, so use cases are pretty versatile.
Senior Engineer at a computer software company with 51-200 employees
Real User
Oct 9, 2018
We use it for digitization and automation, meaning auto-classification of documents, boundary detection, and the flexibility of building a rules-based approach to building capture solutions. More importantly, we use it for extracting content from that data.
IBM Datacap helps you streamline the capture, recognition and classification of business documents and extract important information. Datacap supports multiple-channel capture by processing paper documents on scanners, mobile devices, multi-function peripherals and fax. It uses natural language processing, text analytics and machine learning technologies, like those in IBM Watson, to automatically identify, classify and extract content from unstructured or variable documents. The software can...
I primarily use IBM Datacap ( /products/ibm-datacap-reviews ) for data capture and scanning documents with OCR. Specifically, it's used for DocuSign ( /products/docusign-reviews ) as well.
My client is GM Financial, which is based out of Arlington in the US and is involved in insurance. All documents are scanned and extracted, and later, the workflow is initiated inside FileNet, another IBM tool. It is an end-to-end process that they are using, and some processes involve batch files being extracted and directly exported to FileNet.
We have structured documents that need to be scanned. After the scan is completed, it is reviewed by one of our administrators, and then the documents are stored in the repository.
We mainly use it for our customer who had specific requirements related to Datacap Insight Edition and the machine learning aspect. We needed to integrate Datacap Cloud into our system to meet those needs. If I don't have extensive experience in this area, there's a gap, and we're working closely with IBM's technical team to ensure we can provide the necessary solution to our customers because our in-house engineers might not have the expertise to handle this aspect on their own.
Our customers use the solution for scanning purposes. They scan the hard copies and send them across the DNS server at the backend using it.
I work for an insurance company, and we use Datacap for document processing.
The solution helps us scan different documents and collect data from them.
We use IBM Datacap for data compaction on several different document types. Users can scan the documents and they can upload them to the backend repository where they're stored. There are a least seven types of applications. For example, one of our clients is the department of human services in Hawaii. They need to know when someone qualifies for financial assistance if they are elderly, pregnant, etc. Now I handle data capture, and IBM Datacap is part of my current project. They're using Datacap as a scanner portal for connecting and scanning the data capture, setting up indexes, etc. My product is an online eligibility system. The user can check their eligibility by filling out that application form. They can fill out that application and enter the necessary information, including the supporting documents like adoption documents, degree verification, etc. They upload the requirements to show they are eligible for renewal. Datacap helps them select the application type, and there is a barcode index form. Datacap performs a step-by-step classification and verification process. It will go through each classification step and verify the data. In the end, it exports the data to the correct repository. Various types of documents are there, so the user can select one and upload it to the document index. All documents will be stored in that data system. We can use them anywhere.
Its main use case was to turn papers into electronic documents and extract data from the document.
Our use case was related to processing documents that were coming in for the purpose of trade finance. We would scan in the documentation that came from our customers, and we would train the Datacap system to basically recognize certain keywords, pull out the information from the document, and forward this important data to another system. I'm no longer working directly with that customer. My relationship at that point was that we were specialized consultants in the ECM field, and that particular company was our customer. So, we had a vendor-customer relationship with them.
I have worked on many projects at this company. The first project was primarily web services. They have a separate service, so we need to validate the account number. Datacap is a scanning tool. If a person enters their account number, that will be validated by a separate server, and we use web services to validate that. Once validated, it'll connect to another server to fetch that account number based on the customer's name. We do all the validations via web services. We are slowly moving into the cloud, but they are still using some mainframe technology. We plan to move all applications into the cloud in 2022. First, we'll do all our development on-premises then move to the cloud. IBM has its container environment called CP4BA, so we'll use that to migrate our development applications.
We use Datacap for scanning Proof of Delivery and Proof of Pickup from our delivery agents and drivers. We have a defined workflow in Datacap, and we process these documents into our imaging system and PODs or POPs for paying the drivers and agents for deliveries.
IBM Datacap is very good Product for those company which needs to make OCR & ICR. You can completely manage the document management lifecycle: from acquisition , most can be authomatized, to recognition and conservation (integrating with a content management). Datacap is also very good on hand written recognition and enough easy on programming and managing.
We use it to capture documents issued from the business processes. For example in the sales department during the exhibition of our business process, we procure a huge amount of documents that are in paper format. To make it easier, we use Datacap to use the OCR in order to extract data from the documents to make the research of the documents easier for our clients. I have around 40 people on my team who are in charge of digitizing the documents. We have to start with the existing documents to make the gap smaller between the past and present documents. Once we finish with one department, we have to give them the means to digitize the work and the ability to do it themselves and continue the work. I am dedicated to code digitization which concerns too many documents at the same time. The batches are very heavy. In the same batch, we can have up to 14 folders and each folder can contain up to 1,000 pages. It's different than classic capture in which the employee has one or two documents and wants to implement them in the solution.
We use it for extracting data for insurance filing purposes.
We are using the tool to capture data from bills that customers send in. It is not used on the business side. It is on the back-end side, and it is sort of automated. We process things for the digital channel.
It's an accounts payable automation. It automates the capture of invoices, extracts relevant data, creates an export, and feeding it that way.
Most of the algorithms in IBM Datacap are for capturing information on physical, tangible pieces of paper or documents, allowing them to be scanned, and associating them with an automated workflow. Datacap can work in conjunction with FileNet most of the time. However, Datacap allows companies or government municipalities to take in information, scan it, and have it in a centralized database, so you can have an automated workflow structure for it. It speeds up a lot of internal processes, reduces human error, etc.
IBM Datacap is a imaging platform that our company specializes in from a developer/architecture perspective. It is a platform, so you can write any type of capture or advanced imaging application. It produces great value and results.
With Datacap, use cases are really across the board. Accounts Payable seems to be a really popular use case in terms of invoices, but we do everything from insurance to financial services, to state and local government. The great thing about capture is that every company has documents they need to capture in some format, so use cases are pretty versatile.
We use it for digitization and automation, meaning auto-classification of documents, boundary detection, and the flexibility of building a rules-based approach to building capture solutions. More importantly, we use it for extracting content from that data.