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Cheetah is:\n\n- Private; All voice processing runs locally.\n- Accurate [[1]](https://picovoice.ai/docs/benchmark/stt/#results)\n- Compact and Computationally-Efficient [[2]](https://github.com/Picovoice/speech-to-text-benchmark#rtf)\n- Cross-Platform:\n    - Linux (x86_64), macOS (x86_64, arm64), and Windows (x86_64, arm64)\n    - Android and iOS\n    - Chrome, Safari, Firefox, and Edge\n    - Raspberry Pi (3, 4, 5)\n\n## Compatibility\n\n- Node.js 18+\n- Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64, arm64), and Raspberry Pi (3, 4, 5).\n\n## Installation\n\n```console\nnpm install @picovoice/cheetah-node\n```\n\n## AccessKey\n\nCheetah requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Cheetah 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### Usage\n\nCreate an instance of the engine and transcribe audio:\n\n```javascript\nconst {Cheetah} = require(\"@picovoice/cheetah-node\");\n\nconst accessKey = \"${ACCESS_KEY}\"; // Obtained from the Picovoice Console (https://console.picovoice.ai/)\nconst endpointDurationSec = 2.0;\nconst handle = new Cheetah(accessKey);\n\nfunction getNextAudioFrame() {\n  // ...\n  return audioFrame;\n}\n\nwhile (true) {\n  const audioFrame = getNextAudioFrame();\n  const [partialTranscript, isEndpoint] = handle.process(audioFrame);\n  if (isEndpoint) {\n    const finalTranscript = handle.flush();\n  }\n}\n```\n\nReplace `${ACCESS_KEY}` with yours obtained from [Picovoice Console](https://console.picovoice.ai/). Finally, when done be sure to explicitly release the resources using\n`handle.release()`.\n\nYou can also get per-word annotations:\n\n```javascript\nconst {Cheetah} = require(\"@picovoice/cheetah-node\");\n\nconst accessKey = \"${ACCESS_KEY}\"; // Obtained from the Picovoice Console (https://console.picovoice.ai/)\nconst endpointDurationSec = 2.0;\nconst handle = new Cheetah(accessKey);\n\nfunction getNextAudioFrame() {\n  // ...\n  return audioFrame;\n}\n\nlet words = [];\nwhile (true) {\n  const audioFrame = getNextAudioFrame();\n  const transcript = handle.processAnnotated(audioFrame);\n  words.push(...transcript.words);\n\n  if (isEndpoint) {\n    const finalTranscript = handle.processAnnotated();\n    words.push(...finalTranscript.words);\n  }\n}\n```\n\n### Language Model\n\nThe Cheetah Node.js SDK comes preloaded with a default English language model (`.pv` file).\nDefault models for other supported languages can be found in [lib/common](../../lib/common).\n\nCreate custom language models using the [Picovoice Console](https://console.picovoice.ai/). Here you can train\nlanguage models with custom vocabulary and boost words in the existing vocabulary.\n\n## Demos\n\n[Cheetah Node.js demo package](https://www.npmjs.com/package/@picovoice/cheetah-node-demo)<!-- markdown-link-check-disable-line --> provides command-line utilities for processing audio using cheetah.\n","readmeFilename":"README.md"}