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title: On-Device AI Beats Cloud for TTS – Here’s Why | daily.dev
description: Kokoro TTS, an 82M-parameter Apache 2.0 model, can run fully on-device in React Native via the react-native-executorch library. Compared to cloud TTS APIs,...
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og:description: Kokoro TTS, an 82M-parameter Apache 2.0 model, can run fully on-device in React Native via the react-native-executorch library. Compared to cloud TTS APIs,...
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# On-Device AI Beats Cloud for TTS – Here’s Why

**[Software Mansion](https://daily.dev/sources/swmansion)** · 3 min read · 0 upvotes · 0 comments

## Summary

Kokoro TTS, an 82M-parameter Apache 2.0 model, can run fully on-device in React Native via the react-native-executorch library. Compared to cloud TTS APIs, on-device inference eliminates per-request costs, works offline, delivers consistent low latency without round-trip delays, and keeps synthesized text private on the device. The post argues that as usage scales, the fixed engineering cost of on-device integration beats the linear cost growth of cloud APIs, making on-device TTS compelling for high-frequency features in mobile apps.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://swmansion.com/blog/on-device-ai-beats-cloud-for-tts-heres-why>

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---

Tags: [#react-native](https://daily.dev/tags/react-native), [#local-ai](https://daily.dev/tags/local-ai), [#text-to-speech](https://daily.dev/tags/text-to-speech)

[View this post on daily.dev](https://daily.dev/posts/on-device-ai-beats-cloud-for-tts-here-s-why-24fs1e0i8)

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