LMNT is a powerful tool for creating and managing custom AI voices, enabling high-quality speech synthesis through a simple API. With Relevance AI, you can elevate your applications by integrating these voices into smart workflows that respond and adapt.
LMNT provides advanced text-to-speech capabilities that create lifelike speech from text. Relevance AI enhances this by enabling intelligent workflows that utilize these custom voices for dynamic interactions.
Emotional Intelligence Mastery
Harness LMNT's emotional voice synthesis to deliver responses with genuine feeling and contextual awareness
Dynamic Voice Orchestration
Seamlessly switch between different voice profiles and emotional states to match conversation context
Voice Personality Crafting
Create and maintain distinct voice identities that align with specific use cases and brand values
Relevance AI integrates seamlessly with LMNT, allowing you to incorporate custom AI voices into your automated workflows.
What you’ll need
You don't need to be a developer to set up this LMNT and Relevance AI integration. Follow this simple guide to get started:
- A Relevance AI account
- An LMNT account with access to the workspace and projects you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The LMNT and Relevance AI integration utilizes secure OAuth authentication, ensuring that only authorized applications can create and manage custom AI voices. This integration allows developers to leverage LMNT's advanced text-to-speech capabilities while Relevance AI automates the workflow, handling API operations seamlessly in the background—eliminating concerns about errors, formatting, or limits.
With built-in validation and flexible voice customization options, you can create high-quality speech synthesis from text, ensuring that your applications deliver natural-sounding audio. The integration supports multiple audio formats and provides a straightforward API interface for generating speech, making it easy to implement in various projects.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
