software-mansion/react-native-executorch

Health v2 · maintenance only

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Adoption not part of the score

1750 stars · 97 forks observed · 2026-09-29

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

React Native ExecuTorch is a declarative React Native library for running AI models on-device, powered by Meta's ExecuTorch runtime. It ships pre-exported models for LLMs, vision-language models, computer vision, speech-to-text, text-to-speech, OCR, and embeddings, all running locally without cloud API calls.

Use cases

• run LLMs locally in a React Native app
• on-device object detection and image segmentation
• offline speech-to-text and text-to-speech in mobile apps
• generate image and text embeddings for local semantic search or RAG
• OCR a photo of a document and feed the text to a local LLM
• build a private, offline AI chat assistant in Expo
• image classification without a cloud API

When to choose

• you build React Native or Expo apps and want AI inference fully on-device for privacy or offline use
• you want pre-packaged models (Llama, Phi, Whisper, Kokoro, YOLO, SAM) with a simple declarative JS API
• you want to avoid cloud inference costs or send user data to servers

When to avoid

• your app uses the old React Native architecture (New Architecture is required)
• you need server-side or GPU-scale inference rather than mobile on-device models
• you don't use React Native or JavaScript as your app layer

Facets

library · maturity active

machine-learning llm-inference computer-vision speech-recognition tts ocr rag machine-learning artificial-intelligence mobile-development computer-vision speech-processing large-language-models cross-platform react-native executorch on-device-ai expo embeddings vlm segmentation object-detection offline-ai android ios mobile

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