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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Record
Trigger when new Record is Created.
Update Record
Trigger when an Existing Record is Updated.
Do thisActions
Action is the task that follows automatically within your FFmpeg integrations.
Convert File Format
Convert file format from a existing format to another.
Create Record
Creates a New Record.
Update Table
Update an Existing Table.
Delete Table
Delete an Existing Table
Update Record
Update an Existing Record.
Delete Record
Delete a Record.
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Frequently Asked Questions
To start, connect both your FFmpeg and NocoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in FFmpeg triggers actions in NocoDB (or vice versa).
Absolutely. You can customize how FFmpeg data is recorded in NocoDB. This includes choosing which data fields go into which fields of NocoDB, setting up custom formats, and filtering out unwanted information.
The data sync between FFmpeg and NocoDB 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 FFmpeg and NocoDB. 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.
About FFmpeg
FFmpeg is a leading multimedia framework used to decode, encode, transcode, mux, demux, stream, filter, and play almost anything that humans and machines have created. It supports the most obscure ancient formats up to the cutting edge.
Learn MoreAbout NocoDB
NocoDB Cloud is a powerful platform that transforms your databases into smart spreadsheets, enabling seamless collaboration and management of data. It offers a no-code interface that allows users to create, manage, and automate workflows without any programming knowledge. Ideal for businesses looking to streamline their data operations and enhance productivity.
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