How to connect Bland AI and AI: Text-To-Speech
Create a New Scenario to Connect Bland AI and AI: Text-To-Speech
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 Bland AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Bland AI or AI: Text-To-Speech will be your first step. To do this, click "Choose an app," find Bland AI or AI: Text-To-Speech, and select the appropriate trigger to start the scenario.

Add the Bland AI Node
Select the Bland AI node from the app selection panel on the right.

Bland AI
Configure the Bland AI
Click on the Bland AI node to configure it. You can modify the Bland AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the AI: Text-To-Speech Node
Next, click the plus (+) icon on the Bland AI node, select AI: Text-To-Speech from the list of available apps, and choose the action you need from the list of nodes within AI: Text-To-Speech.

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Authenticate AI: Text-To-Speech
Now, click the AI: Text-To-Speech node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI: Text-To-Speech settings. Authentication allows you to use AI: Text-To-Speech through Latenode.
Configure the Bland AI and AI: Text-To-Speech Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Bland AI and AI: Text-To-Speech 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Bland AI, AI: Text-To-Speech, 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 Bland AI and AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between Bland AI and AI: Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Bland AI and AI: Text-To-Speech
Bland AI + AI: Text-To-Speech + Google Sheets: When a call is analyzed by Bland AI, the transcript is obtained. Then AI: Text-To-Speech converts the transcript to speech. Finally, the sentiment analysis results and the speech file link are added as a new row in Google Sheets.
AI: Text-To-Speech + Bland AI + Slack: When AI generates text, AI: Text-To-Speech converts it into speech. Then, Bland AI analyzes the generated speech. Finally, a summary of the analysis and the speech are sent to a Slack channel.
Bland AI and AI: Text-To-Speech integration alternatives
About Bland AI
Use Bland AI in Latenode to automate content creation or rewrite existing text. Streamline your marketing or support workflows by generating tailored responses. Integrate it directly into your Latenode scenarios and use visual tools to manage prompts, route results, and scale AI tasks without complex coding.
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About AI: Text-To-Speech
Automate voice notifications or generate audio content directly within Latenode. Convert text from any source (CRM, databases, etc.) into speech for automated alerts, personalized messages, or content creation. Latenode streamlines text-to-speech workflows and eliminates manual audio tasks, integrating seamlessly with your existing data and apps.
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See how Latenode works
FAQ Bland AI and AI: Text-To-Speech
How can I connect my Bland AI account to AI: Text-To-Speech using Latenode?
To connect your Bland AI account to AI: Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Bland AI and click on "Connect".
- Authenticate your Bland AI and AI: Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate voiceovers from Bland AI content?
Yes, you can! Latenode automates the process, triggering AI: Text-To-Speech when new content is available in Bland AI, saving you manual effort and ensuring consistent voiceovers.
What types of tasks can I perform by integrating Bland AI with AI: Text-To-Speech?
Integrating Bland AI with AI: Text-To-Speech allows you to perform various tasks, including:
- Create audio versions of blog posts generated in Bland AI.
- Automate voiceovers for marketing scripts created with Bland AI.
- Generate audio summaries of long-form content from Bland AI.
- Produce multilingual voice content from Bland AI generated texts.
- Automatically create podcasts from Bland AI articles or scripts.
Can I use JavaScript code with my Bland AI + AI: Text-To-Speech flows?
Yes! Latenode lets you enhance your integrations with custom JavaScript for advanced data manipulation, conditional logic, and more.
Are there any limitations to the Bland AI and AI: Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of data processing may require optimized workflow design.
- AI: Text-To-Speech voice options are limited to what the service provides.
- Real-time, synchronous processing is subject to API response times.