v0.8.0

React Native ExecuTorch v0.8.0 👁️ ⚛️

This is the biggest and the most exciting release for us so far! If you're looking for processing camera input with AI models, running VLMs, or Bare RN support, look no more 👇

What's new?

Computer Vision

• VisionCamera integration: All computer vision hooks now expose a runOnFrame worklet for real-time camera frame processing via VisionCamera v5 docs
• Instance Segmentation: New useInstanceSegmentation hook for per-pixel object masks, supporting YOLO (nano/small/medium/large/extra-large) and RF-DETR models docs
• Object Detection: Added YOLO and RF-DETR model support docs
• Semantic Segmentation: Added support for DeepLab V3, LRASPP, FCN, and Selfie Segmentation models docs
• Quantized CV models: Added quantized variants for CLIP, Style Transfer, EfficientNetV2, and SSDLite
• Custom model support for Object Detection & Instance / Semantic Segmentation: Both modules are now generic — you can plug in your own model via fromCustomModel() as long as it conforms to the expected input/output contract (see respective docs for further guidance)

VLMs

• Vision Language Models (VLMs): useLLM now supports multimodal models — pass capabilities: ['vision'] and send images alongside messages docs
• Added support for Liquid Foundation Models vision-language model (LFM2_VL_1_6B_QUANTIZED).

LLMs

• LFM-2.5 support: Added support for Liquid Foundation Model 2.5 Instruct docs
• LLM context management: Added ContextStrategy to ChatConfig — configure naive, message-count-based, or sliding window context truncation. SlidingWindowContextStrategy is now the default
  docs

Audio

• Whisper is now up to 3x faster
• TTS + LLM integration: Text-to-Speech streaming now accepts incrementally expanded text input, enabling real-time speech synthesis piped directly from a running LLM docs
• Kokoro TTS pre-computed phonemes: New forwardFromPhonemes / streamFromPhonemes APIs let you bypass the built-in G2P pipeline and supply your own IPA phoneme strings docs
• Speech-to-Text timestamps: transcribe and stream now return TranscriptionResult objects with word-level timestamps docs

General

• Bare React Native support: The library now officially supports bare React Native projects via react-native-executorch-bare-resource-fetcher docs
• Modular resource fetcher adapters: Platform-specific adapters (react-native-executorch-expo-resource-fetcher, react-native-executorch-bare-resource-fetcher) replace the previous monolithic fetcher, requiring explicit initialization via initExecutorch()
  docs
• Uniform module factory API: All modules now expose fromModelName() and fromCustomModel() static factories, replacing the old new Module() + load() pattern

Breaking changes ⚠️

• initExecutorch() with an explicit adapter is now required before using any hook. Install react-native-executorch-expo-resource-fetcher or react-native-executorch-bare-resource-fetcher depending on your project type
  docs
• All modules now use static factory methods (Module.fromModelName() / Module.fromCustomModel()) — the old new Module() constructor + .load() pattern is removed
• ImageSegmentation has been renamed to SemanticSegmentation — update imports and hook names accordingly (useSemanticSegmentation) docs
• Semantic segmentation resize parameter renamed to resizeToInput
• Semantic segmentation forward() return type changed — now returns Record<'ARGMAX', Int32Array> & Record<K, Float32Array> instead of number[]
• ObjectDetection.forward() now accepts an ObjectDetectionOptions object for filtering classes of interest
• Classification.forward() return type changed — now returns a type-safe record of label names to scores instead of Record<string, number>
• StyleTransfer.forward signature changed — now accepts string | PixelData and returns Promise<PixelData | string> depending on the output parameter docs
• Speech-to-Text: transcribe and stream now return TranscriptionResult (not raw strings). stream is now an async generator. The committed/nonCommitted hook properties have been removed
  docs
• TTS streaming API changed — TextToSpeechStreamingCallbacks pattern replaced by streamInsert() / streamStop() methods, and stream() is now an async generator docs
• LLM ChatConfig: contextWindowLength has been replaced by contextStrategy

v0.7.2

What's Changed

• Release v0.7.2 by @msluszniak in #889

Full Changelog: v0.7.1...v0.7.2

v0.7.1

What's Changed

• Binaries update by @benITo47 in #803

Full Changelog: v0.7.0...v0.7.1

v0.7.0

Announcing React Native ExecuTorch v0.7.0 🌟

If you’re tired of robotic-sounding speech synthesizers, this one’s for you!

What’s new?

• Text to speech: Support for generating speech using Kokoro docs
• Reduced bundle size: We switched a library for tokenization, resulting in 64% reduction in package size
• OCR file sizes improvement: Previously, for the OCR pipeline to work, you needed 4 different model files. We made changes to use just one file, reducing the total file sizes by 3x (313MB -> 101MB) docs
• Improved error handling: The errors thrown from our library are now assigned a code property, allowing for fine-grained error handling docs
• LLMs: new stats API (getPromptTokenCount, getTotalTokenCount)
• LLMs: generate() API now returns a string, instead of void docs
• Our documentation now includes an API reference section
• General bug-fixes

Breaking changes ⚠️

• Removed responseCallback() in LLM APIs
• OCR now takes a single modelSource, instead of 3.
• Removed constants for VERTICAL_OCR. From now, only OCR_* constants should be used for both OCR and vertical OCR.
• Passing waveforms as number[] in Speech to Text is now not supported anymore. Please use Float32Array instead.
• TokenizerModule will now throw RnExecutorchError when idToToken or tokenToIdFails (for example when you pass a token outside of the vocab)
• The error property in all of the hooks now is of type RnExecutorchError instead of string.

v0.6.0

Announcing React Native ExecuTorch v0.6.0 🫶🏻

We are excited to release v0.6.0! This version brings some major performance improvements and introduces powerful new generative capabilities including Stable Diffusion, VAD and improved Whisper support.

What’s new?

• Major performance improvements: see benchmarks for more details
• Text to Image: Support for Stable Diffusion is here! docs
• Voice Activity Detection: Detect speech segments with FSMN-based VAD implementation. docs
• Quantized Whisper: We now support quantized Whisper models, resulting in 4x smaller file sizes without significant accuracy tradeoffs. docs
• LLM Control: You can now configure your generation with configurable temperature and topp parameters. docs
• ExecuTorch Runtime: Bumped to v1.0.0 to match upstream stability and features.
• Android Support: Added support for 16kB memory page sizes.
• General bug fixes

Breaking Changes ⚠️

Expo SDK Upgrade Required
React Native ExecuTorch now depends on the latest expo-file-system API changes. You must upgrade your project to Expo SDK 54 to use this version.

0.5.15

What's Changed

Fixed bug on android where number of threads in threadpools could be set to 0 in effect freezing the library. (issue should only impact simulators)

Full Changelog: v0.5.14...v0.5.15

0.5.13

What's Changed

• Remove CocoaPods cache step from iOS build workflow by @msluszniak in #654
• Fixed bug impacting quality of llms responses and sometimes causing models to keep generating until max number of tokens is reached.

Full Changelog: v0.5.12...v0.5.13

v0.4.10

What's Changed

• Fixed bug impacting quality of llms responses and sometimes causing models to keep generating until max number of tokens is reached.

Full Changelog: v0.4.9...v0.4.10

0.5.12

Fixed bug where special characters resulted in malformed utf-8 encodings when using both usSpeechToText and SpeechToTextModule API.

0.5.11

What's Changed

• chore: 0.5.11 by @mkopcins in #649

Full Changelog: v0.5.10...v0.5.11