Sold by: OpenText
Deployed on AWS
OpenText™ Knowledge Discovery for AWS brings the expansive ingestion, data enrichment and analytics capabilities of IDOL to AWS. Allowing users to ingest more than 1900 document types and 160 different repositories while extracting all the data within, powering Enterprise Search and File Analysis.
Overview
OpenText™ Knowledge Discovery for AWS brings the powerful ingest, data enrichment and entity extraction capabilities of IDOL to a more flexible solution that works with your current search and analysis tools. Allowing users to understand the content within their documents including metadata regardless of what and where the documents are. Ingest data from more sources From PDFs and word docs, to obscure image files, all of your data matters and should be searchable. IDOL can ingest the content from over 1900 file types from over 160 different repositories. Extract all the content When it comes to search, context matters. IDOL Index for AWS extracts all of the text, metadata and other content from your files to make your users search experience more robust and complete. Entity Extraction Understanding what types of information live within your documents can be critical in meeting privacy regulations such as GDPR or CCPA. IDOL Ingest for AWS has a library of thousands of known entities spanning the globe to help to automatically identify, manage and even redact information within your data sets. IDOL Ingest for AWS is index agnostic, allowing you to use your current index repository (Vertica, AWS Elasticsearch, Etc.). IDOL Ingest for AWS has a usage based pricing model. Usage is based on number of documents enriched. For large scale use, please contact us for a Private Offer.
Highlights
- Gain deep insights into all of your data, including text and image formats. Over 1900 file formats from over 160 different repositories currently indexable.
- 1000's of pre-defined entity grammars across multiple use cases including PII, PCI and PHI including names and addresses. Ability to identify ID cards with OCR and face recognition
- Easy integration with 3rd party indexes and databases to power search and analysis tools.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2025.03.12
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Content extraction & entity discovery, per block of 200 bytes analysed | $0.004 |
OCR or Face detect on an image, per 2 actions | $0.004 |
Utility processors, per 20 actions | $0.004 |
Read from or write to an external source, per 2 actions | $0.004 |
Dimensions summary
You pay only for what you use, with four separate metered dimensions. Each dimension bills a different type of processing activity. Content extraction and entity discovery is metered per 200 bytes analyzed. Image tasks like OCR or face detection are billed per 2 actions. Utility processors are counted per 20 actions. Reading from or writing to an external source is billed per 2 actions. These options are independent, not tiers. Your total cost scales with how much content you process and which activities you run.
Top-of-mind questions for buyers
This dimension meters the volume of text content the system processes. You are billed per block of 200 bytes analyzed during extraction and entity discovery. The count reflects how much content passes through, such as documents or emails. Larger documents consume more blocks and raise this charge.
It depends on your workload. Text-heavy processing raises the content extraction charge, metered per 200 bytes. Image work like OCR or face detection bills per 2 actions. Utility processors bill per 20 actions. External source reads and writes bill per 2 actions. All four bill independently and add together on one invoice.
OCR and face detection on an image bill per 2 actions. Each image analysis task counts as an action, and you are charged for every 2 actions run. Rich media inputs such as security video, inspection images, or scanned files drive this charge as you process them.
www.opentext.com
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no refunds
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
- Update component versions
Additional details
Usage instructions
"Access the application via a browser at: https://<public_dns>:443/. Consult the Getting Start Guide for details on the NiFi user name and password.
To connect to the operating system, use SSH and the username ec2-user."
Resources
Vendor resources
Support
Vendor support
Support for this product is freely available at the OpenText Community portal: https://community.microfocus.com/img/idol/
Commercial support can be purchased by contacting our Sales Team at: https://www.microfocus.com/products/information-data-analytics-idol/contact
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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