Google AI and Recut Integration

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Automate video editing: use Google AI to identify key moments, then use Recut to automatically create engaging short clips. Scale affordably on Latenode by paying only for execution time and add custom logic in JavaScript.

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Google AI

Recut

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google AI and Recut

Create a New Scenario to Connect Google AI and Recut

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google AI or Recut will be your first step. To do this, click "Choose an app," find Google AI or Recut, and select the appropriate trigger to start the scenario.

Add the Google AI Node

Select the Google AI node from the app selection panel on the right.

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Configure the Google AI

Click on the Google AI node to configure it. You can modify the Google AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Recut Node

Next, click the plus (+) icon on the Google AI node, select Recut from the list of available apps, and choose the action you need from the list of nodes within Recut.

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Authenticate Recut

Now, click the Recut node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Recut settings. Authentication allows you to use Recut through Latenode.

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Sign In

Run node once

Configure the Google AI and Recut Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the Google AI and Recut Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Google AI, Recut, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Google AI and Recut integration works as expected. Depending on your setup, data should flow between Google AI and Recut (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google AI and Recut

Google Docs + Google AI + Recut: When a new document is created in Google Docs, its content is sent to Google AI to generate a summary. Recut then uses this summary to automatically edit a linked video based on the key highlights identified by Google AI.

Recut + Google AI + Slack: When a Recut link is updated, the transcript is sent to Google AI for sentiment analysis using Gemma. If negative sentiment is detected, a message is sent to a Slack channel, alerting the team about potentially negative feedback in the video.

Google AI and Recut integration alternatives

About Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

About Recut

Use Recut in Latenode to automate URL shortening. Automatically generate branded short links for your content, simplifying your marketing efforts. Integrate Recut with other nodes to create automated sharing workflows: generate short links, track click analytics, and distribute across platforms. The Latenode visual editor makes it easy to build and scale complex workflows.

See how Latenode works

FAQ Google AI and Recut

How can I connect my Google AI account to Recut using Latenode?

To connect your Google AI account to Recut on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google AI and click on "Connect".
  • Authenticate your Google AI and Recut accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically generate subtitles from audio using Google AI and Recut?

Yes, you can! Latenode lets you combine Google AI's speech-to-text with Recut to automate subtitle generation. This saves time and ensures accuracy in video editing workflows.

What types of tasks can I perform by integrating Google AI with Recut?

Integrating Google AI with Recut allows you to perform various tasks, including:

  • Transcribing audio from video files using Google AI's speech-to-text.
  • Automatically generating subtitles for videos within Recut.
  • Using AI to identify and cut silent parts from video automatically.
  • Enhancing video content with AI-driven audio analysis.
  • Streamlining video editing workflows through automation.

What Google AI models can I use with Recut inside Latenode?

Latenode supports various Google AI models, enabling advanced audio transcription and analysis directly within your Recut workflows.

Are there any limitations to the Google AI and Recut integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large video files might require longer processing times.
  • Complex audio with significant background noise can impact transcription accuracy.
  • Recut's editing features still require manual review for optimal results.

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