Local KOKORO TTS: Text-to-Speech Converter
Converts text to high-quality speech using the local KOKORO TTS model via Python script in self-hosted n8n. Free alternative to paid TTS services for creators and bots.
This n8n workflow enables text-to-speech conversion using the compact, powerful KOKORO TTS model, which runs locally without needing a GPU. It leverages an Execute Command node (self-hosted only) to run a custom Python script that accepts text, voice, and speed parameters, generating MP3 audio files. Setup involves installing Python, downloading KOKORO from GitHub, and placing a voicegen.py script in the model folder.
Benefits include fully free, offline TTS outperforming larger models on benchmarks, ideal for resource-limited devices. It bypasses API limitations by using Gradio client in Python, ensuring privacy and no usage costs. Perfect for video bloggers, TikTok content, voice chatbots, news readers, or any text-to-audio needs.
Use cases: Automate podcast generation from news feeds, create narrated social media videos, build free voice assistants, or integrate into larger AI pipelines. Time-saving for unlimited local generations without subscriptions.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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