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It enables creating voice experiences similar to Alexa and Google, but it runs entirely on-device. Picovoice is:\n\n- **Private:** Everything is processed offline. Intrinsically HIPAA and GDPR-compliant.\n- **Reliable:** Runs without needing constant connectivity.\n- **Zero Latency:** Edge-first architecture eliminates unpredictable network delay.\n- **Accurate:** Resilient to noise and reverberation. It outperforms cloud-based alternatives by wide margins\n  [\\*](https://github.com/Picovoice/speech-to-intent-benchmark#results).\n- **Cross-Platform:** Design once, deploy anywhere. Build using familiar languages and frameworks.\n\nSee the [Picovoice Docs](https://picovoice.ai/docs/quick-start/picovoice-nodejs/) for additional details.\n\n## Compatibility\n\nThis binding is for running Picovoice on **NodeJS 16+** on the following platforms:\n\n- Windows (x86_64)\n- Linux (x86_64)\n- macOS (x86_64, arm64)\n- Raspberry Pi (3, 4, 5)\n\n### Web Browsers\n\nThis binding is for NodeJS and **does not work in a browser**. Looking to run Picovoice in-browser? There are npm packages available for [Web](https://www.npmjs.com/package/@picovoice/picovoice-web), and dedicated packages for [Angular](https://www.npmjs.com/package/@picovoice/picovoice-angular), [React](https://www.npmjs.com/package/@picovoice/picovoice-react), and [Vue](https://www.npmjs.com/package/@picovoice/picovoice-vue).\n\n## AccessKey\n\nPicovoice requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Picovoice SDKs.\nYou can get your `AccessKey` for free. Make sure to keep your `AccessKey` secret.\nSignup or Login to [Picovoice Console](https://console.picovoice.ai/) to get your `AccessKey`.\n\n## Installation\n\nThe Picovoice SDK for NodeJS is available from npm:\n\n```console\nyarn add @picovoice/picovoice-node\n```\n\n(or)\n\n```console\nnpm install @picovoice/picovoice-node\n```\n\n## Usage\n\nThe SDK provides the `Picovoice` class. Create an instance of this class using a Porcupine keyword and Rhino context file, as well as callback functions that will be invoked on wake word and inference events, respectively:\n\n```javascript\nconst Picovoice = require(\"@picovoice/picovoice-node\");\n\nconst accessKey = \"${ACCESS_KEY}\" // Obtained from the Picovoice Console (https://console.picovoice.ai/)\n\nconst keywordCallback = function (keyword) {\n  console.log(`Wake word detected`);\n};\n\nconst inferenceCallback = function (inference) {\n  console.log(\"Inference:\");\n  console.log(JSON.stringify(inference, null, 4));\n};\n\nconst handle = new Picovoice(\n  accessKey,\n  keywordArgument,\n  keywordCallback,\n  contextPath,\n  inferenceCallback\n);\n```\n\nThe `keywordArgument` can either be a path to a Porcupine keyword file (.ppn), or one of the built-in keywords (integer enums). The `contextPath` is the path to the Rhino context file (.rhn).\n\nUpon constructing the Picovoice class, send it frames of audio via its `process` method. Internally, Picovoice will switch between wake word detection and inference. The Picovoice class includes `frameLength` and `sampleRate` properties for the format of audio required.\n\n```javascript\n// process audio frames that match the Picovoice requirements (16-bit linear pcm audio, single-channel)\nwhile (true) {\n  handle.process(frameOfAudio);\n}\n```\n\nAs the audio is processed through the Picovoice engines, the callbacks will fire. This is the output when we provide the built-in \"picovoice\" keyword and [sample \"coffee maker\" context](https://github.com/Picovoice/rhino/tree/master/resources/contexts) to the Picovoice class, and then provide it a [test WAV file](../../resources/audio_samples/picovoice-coffee.wav) that contains the following utterance:\n\n> \"Picovoice, make me a large coffee\"\n\n```console\nWake word detected\n\nInference:\n{\n    \"isUnderstood\": true,\n    \"intent\": \"orderDrink\",\n    \"slots\": {\n        \"size\": \"large\",\n        \"coffeeDrink\": \"coffee\"\n    }\n}\n\n```\n\n### Porcupine and Rhino\n\nThe Picovoice SDK for NodeJS is built on top of the Porcupine and Rhino NodeJS bindings. If you wish to use these engines individually for wake word or inference, see the [Porcupine](https://www.npmjs.com/package/@picovoice/porcupine-node) and [Rhino](https://www.npmjs.com/package/@picovoice/rhino-node) NPM packages, respectively.\n","readmeFilename":"README.md"}