node-red-contrib-google-cloud-text-to-speech
Node-RED node for Google Cloud Text to Speech API integration
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is node-red-contrib-google-cloud-text-to-speech?
This Node-RED node allows users to generate voice data using the Google Cloud Text to Speech service, enabling developers to integrate speech synthesis into their workflows.
Key differentiator
“This tool provides a straightforward way for Node-RED users to leverage Google's advanced text-to-speech capabilities directly within their workflows.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The official repository lacks detailed usage guides and real-world example flows, making it difficult for new users to get started.
Integration is tightly coupled with Google Cloud Text-to-Speech API; switching to another provider would require significant rework of the integration logic.
Heavy usage might hit rate limits imposed by Google Cloud, leading to delays or errors in speech synthesis requests.
Requires setting up service accounts and managing credentials securely within Node-RED, which can be error-prone and time-consuming.
Fit analysis
Who is it for?
✓ Best for
Developers integrating Google Cloud Text to Speech into Node-RED workflows for IoT projects
Makers looking to add voice capabilities to their DIY projects using Node-RED
Teams needing a simple way to convert text data into speech within Node-RED environments
✕ Not a fit for
Projects requiring real-time, low-latency speech synthesis without the overhead of API calls
Applications that need extensive customization beyond what Google Cloud Text to Speech offers
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with node-red-contrib-google-cloud-text-to-speech
Step-by-step setup guide with code examples and common gotchas.