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Inc"},"license":"Apache-2.0","keywords":["cheetah","web","voice","speech","recognition","ai","speech-to-text","transcription","offline","dom"],"description":"Cheetah Speech-to-Text engine for web browsers (via WebAssembly)","maintainers":[{"name":"kyeo","email":"kyeo@picovoice.ai"},{"name":"kenarsa","email":"alireza@picovoice.ai"},{"name":"ilavery","email":"ian@picovoice.ai"},{"name":"erismikpico","email":"eric@picovoice.ai"},{"name":"matt200-ok","email":"matthew@picovoice.ai"},{"name":"gabe-picovoice","email":"gabriel@picovoice.ai"}],"readme":"# Cheetah Binding for Web\n\n## Cheetah Speech-to-Text Engine\n\nMade in Vancouver, Canada by [Picovoice](https://picovoice.ai)\n\nCheetah is an on-device streaming speech-to-text engine. Cheetah is:\n\n- Private; All voice processing runs locally.\n- [Accurate](https://picovoice.ai/docs/benchmark/stt/)\n- [Compact and Computationally-Efficient](https://github.com/Picovoice/speech-to-text-benchmark#rtf)\n- Cross-Platform:\n    - Linux (x86_64), macOS (x86_64, arm64), and Windows (x86_64)\n    - Android and iOS\n    - Chrome, Safari, Firefox, and Edge\n    - Raspberry Pi (3, 4, 5)\n\n## Compatibility\n\n- Chrome / Edge\n- Firefox\n- Safari\n\n## Requirements\n\nThe Cheetah Web Binding uses [SharedArrayBuffer](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/SharedArrayBuffer).\n\nInclude the following headers in the response to enable the use of `SharedArrayBuffers`:\n\n```\nCross-Origin-Opener-Policy: same-origin\nCross-Origin-Embedder-Policy: require-corp\n```\n\nRefer to our [Web demo](../../demo/web) for an example on creating a server with the corresponding response headers.\n\nBrowsers that don't support `SharedArrayBuffers` or applications that don't include the required headers will fall back to using standard `ArrayBuffers`. This will disable multithreaded processing.\n\n### Restrictions\n\nIndexedDB is required to use `Cheetah` in a worker thread. Browsers without IndexedDB support\n(i.e. Firefox Incognito Mode) should use `Cheetah` in the main thread.\n\nMulti-threading is only enabled for Cheetah when using on a web worker.\n\n## Installation\n\n### Package\n\nUsing `Yarn`:\n\n```console\nyarn add @picovoice/cheetah-web\n```\n\nor using `npm`:\n\n```console\nnpm install --save @picovoice/cheetah-web\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 a model in [Picovoice Console](https://console.picovoice.ai/) or use the [default model](https://github.com/Picovoice/cheetah/tree/master/lib/common).\n\nFor the web packages, there are two methods to initialize Cheetah.\n\n#### Public Directory\n\n**NOTE**: Due to modern browser limitations of using a file URL, this method does __not__ work if used without hosting a server.\n\nThis method fetches the model file from the public directory and feeds it to Cheetah. Copy the model file into the public directory:\n\n```console\ncp ${CHEETAH_MODEL_FILE} ${PATH_TO_PUBLIC_DIRECTORY}\n```\n\n#### Base64\n\n**NOTE**: This method works without hosting a server, but increases the size of the model file roughly by 33%.\n\nThis method uses a base64 string of the model file and feeds it to Cheetah. Use the built-in script `pvbase64` to\nbase64 your model file:\n\n```console\nnpx pvbase64 -i ${CHEETAH_MODEL_FILE} -o ${OUTPUT_DIRECTORY}/${MODEL_NAME}.js\n```\n\nThe output will be a js file which you can import into any file of your project. For detailed information about `pvbase64`,\nrun:\n\n```console\nnpx pvbase64 -h\n```\n\n#### Cheetah Model\n\nCheetah saves and caches your model file in IndexedDB to be used by WebAssembly. Use a different `customWritePath` variable\nto hold multiple models and set the `forceWrite` value to true to force re-save a model file.\n\nEither `base64` or `publicPath` must be set to instantiate Cheetah. If both are set, Cheetah will use the `base64` model.\n\n```typescript\nconst cheetahModel = {\n  publicPath: ${MODEL_RELATIVE_PATH},\n  // or\n  base64: ${MODEL_BASE64_STRING},\n\n  // Optionals\n  customWritePath: \"cheetah_model\",\n  forceWrite: false,\n  version: 1,\n}\n```\n\n#### Init options\n\nSet `endpointDurationSec` value to 0 if you do not wish to detect endpoint (moment of silence). Set `enableAutomaticPunctuation` to\ntrue to enable  punctuation in transcript. Set `processErrorCallback` to handle errors if an error occurs while transcribing.\n\n```typescript\n// Optional, these are default\nconst options = {\n  endpointDurationSec: 1.0,\n  enableAutomaticPunctuation: false,\n  processErrorCallback: (error) => {}\n}\n```\n\n#### Initialize Cheetah\n\nCreate a `transcriptCallback` function to get the streaming results\nfrom the engine:\n\n```typescript\nlet transcript = \"\";\n\nfunction transcriptCallback(cheetahTranscript: CheetahTranscript) {\n  transcript += cheetahTranscript.transcript;\n  if (cheetahTranscript.isEndpoint) {\n    transcript += \". \";\n  }\n  if (cheetahTranscript.isFlushed) {\n    transcript += \"\\n\"\n  }\n}\n```\n\nCreate an instance of `Cheetah` on the main thread:\n\n```typescript\nconst handle = await Cheetah.create(\n  ${ACCESS_KEY},\n  transcriptCallback,\n  cheetahModel,\n  options // optional options\n);\n```\n\nOr create an instance of `Cheetah` in a worker thread:\n\n```typescript\nconst handle = await CheetahWorker.create(\n  ${ACCESS_KEY},\n  transcriptCallback,\n  cheetahModel,\n  options // optional options\n);\n```\n\n#### Process Audio Frames\n\nThe `process` function will send the input frames to the engine.\nThe transcript is received from `transcriptCallback` as mentioned above.\n\n```typescript\nfunction getAudioData(): Int16Array {\n  ... // function to get audio data\n  return new Int16Array();\n}\n\nfor (;;) {\n  handle.process(getAudioData());\n  // break on some condition\n}\nhandle.flush(); // runs transcriptCallback on remaining data.\n```\n\n#### Clean Up\n\nClean up used resources by `Cheetah` or `CheetahWorker`:\n\n```typescript\nawait handle.release();\n```\n\n#### Terminate (Worker only)\n\nTerminate `CheetahWorker` instance:\n\n```typescript\nawait handle.terminate();\n```\n\n### Language Model\n\nDefault models for supported languages can be found in [lib/common](../../lib/common).\n\nCreate custom language models using the [Picovoice Console](https://console.picovoice.ai/). Here you can train\nlanguage models with custom vocabulary and boost words in the existing vocabulary.\n\n\n## Train Models over API\n\nYou can train models over API without going to the console:\n\n```javascript\nlet cheetahModel = await Cheetah.trainModelFromWords(\n        \"${ACCESS_KEY}\",                                                       // AccessKey obtained from Picovoice Console (https://console.picovoice.ai/).\n        \"${WRITE_PATH}\",                                                       // Custom path/key used to store the trained model in IndexedDB.\n        \"${LANGUAGE}\",                                                         // Two-character language code.\n        {\"${NEW_WORD}\": new Set([\"${PRONUNCIATION1}\", \"${PRONUNCIATION2}\"])},  // New words with optional custom pronunciation to add to the model.\n        new Set([\"${BOOST_WORD1}\", \"${BOOST_WORD2}\")                           // Boost words.\n)\n```\n\n(or)\n\n```javascript\nlet cheetahModel = await Cheetah.trainModelFromYaml(\n        \"${ACCESS_KEY}\",     // AccessKey obtained from Picovoice Console (https://console.picovoice.ai/).\n        \"${WRITE_PATH}\",     // Custom path/key used to store the trained model in IndexedDB.\n        \"${LANGUAGE}\",       // Two-character language code.\n        \"${YAML_CONTENT}\"    // YAML configuration in string.\n)\n```\n\nCheck [Cheetah Model API](https://picovoice.ai/docs/model-api/cheetah/) docs for a list of supported languages.\n\n## Demo\n\nFor example usage refer to our [Web demo application](https://github.com/Picovoice/cheetah/tree/master/demo/web).\n","readmeFilename":"README.md"}