
When this happens...
New Document Created

Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when a new Google Docs document is created within the chosen time window.
Action is the task that follows automatically within your Google Docs integrations.
Create a new Google Doc with the given title and content, optionally saving it to a specified Google Drive folder. Returns the document ID, edit URL, and export links.
Add new text to a selected Google Doc tab, or replace that tab’s existing content.
Create a Google Doc from a chosen template, replace template tags with provided values, optionally save it to a folder, and optionally share it with a user or anyone with the link.
Retrieve title and plain text
Import data to your Nyckel classifier
Classify image or text data

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To start, connect both your Google Docs and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Docs triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Google Docs data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Google Docs and Nyckel 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 Google Docs and Nyckel. 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.
Google Docs is an online word processor that lets you create and format text documents. Collaboratively edit documents with other people in real time. We also support Google Sheets!
Learn MoreNyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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