Oracle Cloud Infrastructure (OCI) Document Understanding is an AI service that enables developers to extract text, tables, and other key data from document files through APIs and command line interface tools. With OCI Document Understanding, you can automate tedious business processing tasks with prebuilt AI models and customize document extraction to fit your industry-specific needs.
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Developers can now obtain text, tables, and other key data from document files through pretrained or custom trained AI models. Watch the webinar to discover how to use OCI Document Understanding.
OCI Document Understanding is built on Oracle computer vision and natural language processing technologies used for core enterprise tasks, such as accounts payable processing, expensing, and content management.
Upload, label, and train custom models with your Oracle data through an intuitive user interface in the OCI console. This capability has limited availability.
OCI Document Understanding is competitively priced so all users can take advantage of AI. Pay for what you use without needing to maintain infrastructure.
Extract document information to store in Oracle Autonomous Data Warehouse, and integrate with other structured data or visual data in Oracle Analytics Cloud or other OCI services.
Extract key information from documents to populate extracted text, prefill fields, and perform other tasks.
Kate D'Orazio, Principal Product Manager, Oracle
We’re excited to announce the general availability of Oracle Cloud Infrastructure (OCI) Document Understanding, an AI service that allows customers to uncover insights in unstructured documents powered by deep learning models.
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Experience a wide range of OCI services through tutorials and hands-on labs. Whether you're a developer, admin, or analyst, we can help you see how OCI works. Many labs run on the Oracle Cloud Free Tier or an Oracle-provided free lab environment.
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Select data from an OCI Object Storage bucket or a local file from your computer. Use OCI Document Understanding’s built-in models to automatically extract key information. Optionally, customize models to tailor the extraction to your data or use case. Store results in JSON format in the OCI Object Storage output bucket. Lastly, integrate with other OCI services, such as Oracle APEX and OCI Digital Assistant.
Select data from an OCI Object Storage input bucket or a local file from your computer. Use OCI Document Understanding’s built-in models to automatically extract key information. Optionally, customize models to tailor the extraction to your data or use case. Then use OCI Data Integration to store document data in Oracle Autonomous Data Warehouse and integrate with other structured data. Visualize data in Oracle Analytics Cloud. Use structured data to train new predictive models in OCI Data Science.
Select data from an OCI Object Storage input bucket or a local file from your computer. Then use OCI Document Understanding’s built-in models to automatically extract key information. Optionally, customize models to tailor the extraction to your data or use case. Then integrate the data with other OCI services. You can populate extracted text in the backend of an Oracle application or prefill fields or data for an end user in a web application. Or trigger a business process or human review step in OCI Process Automation.