
When this happens...

Automatically do this!
Execute a query
Insert a Row
Create or Update
Update a row
Find row
Find row via Custom Query
Enable Integrations or automations with these events of Docparser and Oracle Database
Upload a new document to Docparser for immediate parsing; to receive results, ensure a separate Zap with the "New Parsed Data Available" Trigger is set up.
list of all the Model Layouts for a specific parser linked to your account.
get the document from the given url
get a document data from the document ID
Execute a query on Oracle Database
Insert a row in Oracle Database table

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To start, connect both your Docparser and Oracle Database accounts to viaSocket. Once connected, you can set up a workflow where an event in Docparser triggers actions in Oracle Database (or vice versa).
Absolutely. You can customize how Docparser data is recorded in Oracle Database. This includes choosing which data fields go into which fields of Oracle Database, setting up custom formats, and filtering out unwanted information.
The data sync between Docparser and Oracle Database typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Docparser and Oracle Database. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Docparser is a cloud-based document data extraction tool which automates the process of converting PDFs, Microsoft Office documents, and other formatted files into structured data. Docparser can be used to automate various business processes by capturing data fields from your documents and feeding the parsed data into other software applications.
Learn MoreOracle Database is a multi-model database management system produced and marketed by Oracle Corporation. It is designed to store and retrieve large amounts of data, providing high performance, scalability, and reliability for enterprise applications. Oracle Database supports SQL as a query language and offers features such as data warehousing, online transaction processing, and data security.
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