Cheetah Binding for React Native

Cheetah Speech-to-Text Engine

Made in Vancouver, Canada by Picovoice

Cheetah is an on-device speech-to-text engine. Cheetah is:

• Private; All voice processing runs locally.
• Accurate
• Compact and Computationally-Efficient
• Cross-Platform:
  • Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64)
  • Android and iOS
  • Chrome, Safari, Firefox, and Edge
  • Raspberry Pi (3, 4, 5)

Compatibility

This binding is for running Cheetah on React Native 0.62.2+ on the following platforms:

• Android 5.0+ (SDK 21+)
• iOS 11.0+

Installation

To start install, ensure you have installed yarn and CocoaPods. Then, add the following native modules to your react-native project:

yarn add @picovoice/cheetah-react-native

or

npm i @picovoice/cheetah-react-native --save

Link the iOS package:

cd ios && pod install && cd ..

NOTE: Due to a limitation in React Native CLI auto-linking, the native module cannot be included as a transitive dependency. If you are creating a module that depends on cheetah-react-native, you will have to list these as peer dependencies and require developers to install it alongside.

AccessKey

Cheetah requires a valid Picovoice AccessKey at initialization. AccessKey acts as your credentials when using Cheetah SDKs. You can get your AccessKey for free. Make sure to keep your AccessKey secret. Signup or Login to Picovoice Console to get your AccessKey.

Adding Cheetah Models

Create a custom model using the Picovoice Console or use the default model.

Android

To add a Leopard model file to your Android application, add the file as a bundled resource by placing it under the assets directory of your Android application.

iOS

To add a Leopard model file to your iOS application, add the file as a bundled resource by selecting Build Phases in Xcode and adding it to the Copy Bundle Resources step.

Usage

Create an instance of Cheetah:

import {Cheetah, CheetahErrors} from '@picovoice/cheetah-react-native';

const accessKey = "${ACCESS_KEY}" // AccessKey obtained from Picovoice Console (https://console.picovoice.ai/)
const modelPath = "${CHEETAH_MODEL_PATH}" // path relative to the assets folder or absolute path to file on device

try {
    const cheetah = await Cheetah.create(accessKey, modelPath)
} catch (err: any) {
  if (err instanceof CheetahErrors) {
    // handle error
  }
}

Transcribe real-time audio:

const getAudioFrame = () => {
  // get audio frames
}

let transcript = ""
try {
  while (1) {
    const partialResult = await cheetah.process(getAudioFrame())
    transcript += partialResult.transcript
    if (partialResult.isEndpoint) {
      const finalResult = await cheetah.flush()
      transcript += finalTranscript.transcript
    }
  }
} catch (err: any) {
  if (err instanceof CheetahErrors) {
    // handle error
  }
}

Finally, when done be sure to explicitly release the resources using cheetah.delete().

Demo App

For example usage refer to our React Native demo application.