Connect Teachfloor and Base64.ai to Build Intelligent Automations

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Teachfloor

When this happens...

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Base64.ai

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

Course Updated

Course Updated

Runs when course is updated

Module Is Created

Module Is Created

Runs when module is created

Element Is Created

Element Is Created

Runs when element is created

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Do thisActions

Action is the task that follows automatically within your Teachfloor integrations.

Invite User By Email

Invite User By Email

Send invite to join org/course

Scan a document by URL

Scan a document by URL

Scans a document that is provided by a URL or Hydrate File. File can be an image (jpeg, png etc.), PDF, zip or an office document (.doc, .docx, etc.).

Scan a Document by Bytes

Scan a Document by Bytes

Scans a document that is provided by a string of bytes (e.g. data:image/png;base64,iVBORw0KGgoAAAANSUhEU...). File can be an image (jpeg, png etc.), PDF, zip or an office document (.doc, .docx, etc.).

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Frequently Asked Questions

How do I start an integration between Teachfloor and Base64.ai?

To start, connect both your Teachfloor and Base64.ai accounts to viaSocket. Once connected, you can set up a workflow where an event in Teachfloor triggers actions in Base64.ai (or vice versa).

Can we customize how data from Teachfloor is recorded in Base64.ai?

Absolutely. You can customize how Teachfloor data is recorded in Base64.ai. This includes choosing which data fields go into which fields of Base64.ai, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Teachfloor and Base64.ai?

The data sync between Teachfloor and Base64.ai typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Teachfloor to Base64.ai?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Teachfloor and Base64.ai?

Yes, you can set conditional logic to control the flow of data between Teachfloor and Base64.ai. 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.