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Inc"},"license":"Apache-2.0","keywords":["leopard","web","voice","speech","recognition","ai","speech-to-text","transcription","offline","dom"],"description":"Leopard Speech-to-Text engine for web browsers (via WebAssembly)","maintainers":[{"email":"kyeo@picovoice.ai","name":"kyeo"},{"email":"alireza@picovoice.ai","name":"kenarsa"},{"email":"ian@picovoice.ai","name":"ilavery"},{"email":"eric@picovoice.ai","name":"erismikpico"},{"email":"matthew@picovoice.ai","name":"matt200-ok"},{"email":"gabriel@picovoice.ai","name":"gabe-picovoice"}],"readme":"# Leopard Binding for Web\n\n## Leopard Speech-to-Text Engine\n\nMade in Vancouver, Canada by [Picovoice](https://picovoice.ai)\n\nLeopard is an on-device speech-to-text engine. Leopard 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), 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 Leopard 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 `Leopard` in a worker thread. Browsers without IndexedDB support\n(i.e. Firefox Incognito Mode) should use `Leopard` in the main thread.\n\nMulti-threading is only enabled for `Leopard` when using on a web worker.\n\n## Installation\n\nUsing `yarn`:\n\n```console\nyarn add @picovoice/leopard-web\n```\n\nor using `npm`:\n\n```console\nnpm install --save @picovoice/leopard-web\n```\n\n## AccessKey\n\nLeopard requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Leopard 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 one of the default language models found in [lib/common](../../lib/common).\n\nFor the web packages, there are two methods to initialize Leopard.\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 Leopard. Copy the model file into the public directory:\n\n```console\ncp ${LEOPARD_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 Leopard. Use the built-in script `pvbase64` to\nbase64 your model file:\n\n```console\nnpx pvbase64 -i ${LEOPARD_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### Language Model\n\nLeopard 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 Leopard. If both are set, Leopard will use the `base64` model.\n\n```typescript\nconst leopardModel = {\n  publicPath: ${MODEL_RELATIVE_PATH},\n  // or\n  base64: ${MODEL_BASE64_STRING},\n\n  // Optionals\n  customWritePath: \"leopard_model\",\n  forceWrite: false,\n  version: 1,\n}\n```\n\n### Initialize Leopard\n\nCreate an instance of `Leopard` in the main thread:\n\n```typescript\nconst leopard = await Leopard.create(\n  ${ACCESS_KEY},\n  leopardModel,\n  options\n);\n```\n\nOr create an instance of `Leopard` in a worker thread:\n\n```typescript\nconst leopard = await LeopardWorker.create(\n  ${ACCESS_KEY},\n  leopardModel,\n  options\n);\n```\n\nAdditional configuration options can be passed to `create`. Set `enableAutomaticPunctuation` to true if you wish to enable punctuation in transcript or `enableDiarization` if you wish to enable speaker diarization.\n\n```typescript\nconst options = {\n  enableAutomaticPunctuation: true,\n  enableDiarization: true\n}\n```\n\n### Process Audio Frames\n\nThe process result is an object with:\n- `transcript`: A string containing the transcribed data.\n- `words`: A list of objects containing a `word`, `startSec`, `endSec`, `confidence` and `speakerTag`.\n\n```typescript\nfunction getAudioData(): Int16Array {\n  ... // function to get audio data\n  return new Int16Array();\n}\n\nconst result = await leopard.process(getAudioData());\nconsole.log(result.transcript);\nconsole.log(result.words);\n```\n\nFor processing using worker, you may consider transferring the buffer instead for performance:\n\n```typescript\nlet pcm = new Int16Array();\nconst result = await leopard.process(pcm, {\n  transfer: true,\n  transferCallback: (data) => { pcm = data }\n});\nconsole.log(result.transcript);\nconsole.log(result.words);\n```\n\n### Clean Up\n\nClean up used resources by `Leopard` or `LeopardWorker`:\n\n```typescript\nawait leopard.release();\n```\n\nTerminate `LeopardWorker` instance:\n\n```typescript\nawait leopard.terminate();\n```\n\n### Word Metadata\n\nAlong with the transcript, Leopard returns metadata for each transcribed word. Available metadata items are:\n\n- **Start Time:** Indicates when the word started in the transcribed audio. Value is in seconds.\n- **End Time:** Indicates when the word ended in the transcribed audio. Value is in seconds.\n- **Confidence:** Leopard's confidence that the transcribed word is accurate. It is a number within `[0, 1]`.\n- **Speaker Tag:** If speaker diarization is enabled on initialization, the speaker tag is a non-negative integer identifying unique speakers, with `0` reserved for unknown speakers. If speaker diarization is not enabled, the value will always be `-1`.\n\n## Demo\n\nFor example usage refer to our [Web demo application](https://github.com/Picovoice/leopard/tree/master/demo/web).\n","readmeFilename":"README.md"}