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It directly indexes speech without relying on a text representation. This\nacoustic-only approach boosts accuracy by removing out-of-vocabulary limitation and eliminating the problem of competing\nhypothesis (e.g. homophones)\n\n## Compatibility\n\n- Chrome / Edge\n- Firefox\n- Safari\n\n### Restrictions\n\nIndexedDB is required to use `Octopus` in a worker thread. Browsers without IndexedDB support\n(i.e. Firefox Incognito Mode) should use `Octopus` in the main thread.\n\n## Installation\n\nUsing `yarn`:\n\n```console\nyarn add @picovoice/octopus-web\n```\n\nor using `npm`:\n\n```console\nnpm install --save @picovoice/octopus-web\n```\n\n### AccessKey\n\nOctopus requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Octopus 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\nFor the web packages, there are two methods to initialize Octopus.\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 Octopus. Copy the model file into the public directory:\n\n```console\ncp ${OCTOPUS_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 Octopus. Use the built-in script `pvbase64` to\nbase64 your model file:\n\n```console\nnpx pvbase64 -i ${OCTOPUS_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#### Octopus Model\n\nOctopus saves and caches your model file in IndexedDB to be used by WebAssembly. Use a different `customWritePath` variable\nto store multiple models and set the `forceWrite` value to true to force overwrite a model file in storage.\nIf the model file (`.pv`) changes, `version` should be incremented to force the cached model to be updated.\n\nEither `base64` or `publicPath` must be set to instantiate Octopus. If both are set, Octopus will use the `base64` model.\n\n```typescript\nconst octopusModel = {\n  publicPath: ${MODEL_RELATIVE_PATH},\n  // or\n  base64: ${MODEL_BASE64_STRING},\n\n  // Optionals\n  customWritePath: \"octopus_model\",\n  forceWrite: false,\n  version: 1,\n}\n```\n\n#### Initialize Octopus\n\nCreate an instance of `Octopus` in the main thread:\n\n```typescript\nconst handle = await Octopus.create(\n  ${ACCESS_KEY},\n  octopusModel,\n  options // optional options\n);\n```\n\nOr create an instance of `Octopus` in a worker thread:\n\n```typescript\nconst handle = await OctopusWorker.create(\n  ${ACCESS_KEY},\n  octopusModel,\n  options // optional options\n);\n```\n\n#### Index Audio Frames\n\nThe index result is an object holding the metadata information of your audio file. This is used later\nto search for a phrase.\n\n```typescript\nfunction getAudioData(): Int16Array {\n  ... // function to get audio data\n  return new Int16Array();\n}\n\nconst octopusMetadata = await handle.index(getAudioData());\n```\n\nFor processing using **worker**, you may consider transferring the buffer instead for performance:\n\n```typescript\nconst pcm = new Int16Array();\nconst octopusMetadata = await handle.index(pcm, {\n  transfer: true,\n  transferCB: (data) => {pcm = data}\n});\n```\n\n#### Search\n\nUsing the metadata from the previous step, you can search for a phrase. The result is a list of objects\nwith each element containing the following properties:\n\n- `startSec`: Start of the matched audio in seconds.\n- `endSec`: End of the matched audio in seconds.\n- `probability`:  Probability (confidence) that this matches the search phrase (between 0 and 1).\n\n```typescript\nconst result = await handle.search(octopusMetadata, \"${SEARCH_PHRASE}\");\nfor (const elem of result) {\n  console.log(elem.startSec, elem.endSec, elem.probability);\n}\n```\n\n#### Clean Up\n\nClean up used resources by `Octopus` or `OctopusWorker`:\n\n```typescript\nawait handle.release();\n```\n\n#### Terminate\n\nTerminate `OctopusWorker` instance:\n\n```typescript\nawait handle.terminate();\n```\n\n## Demo\n\nFor example usage refer to our [Web demo application](https://github.com/Picovoice/octopus/tree/master/demo/web).\n","readmeFilename":"README.md"}