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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\nThis binding is for running Leopard on **React Native 0.73+** on the following platforms:\n\n- Android 5.0+ (SDK 21+)\n- iOS 16.0+\n\n## Installation\n\nTo start install, be sure you have installed yarn and cocoapods. Then, add the following native modules to your react-native project:\n\n```console\nyarn add @picovoice/leopard-react-native\n```\nor\n```console\nnpm i @picovoice/leopard-react-native --save\n```\n\nLink the iOS package\n\n```console\ncd ios && pod install && cd ..\n```\n\n**NOTE**: Due to a limitation in React Native CLI auto-linking, the native module cannot be included as a\ntransitive dependency. If you are creating a module that depends on leopard-react-native,\nyou will have to list these as peer dependencies and require developers to install it alongside.\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 an instance of `Leopard`:\n\n```typescript\nimport { Leopard, LeopardErrors } from '@picovoice/leopard-react-native'\n\nconst accessKey = \"${ACCESS_KEY}\" // AccessKey obtained from Picovoice Console (https://console.picovoice.ai/)\nconst modelPath = \"${LEOPARD_MODEL_PATH}\" // path relative to the assets folder or absolute path to file on device\n\ntry {\n    const leopard = await Leopard.create(accessKey, modelPath)\n} catch (err: any) {\n  if (err instanceof LeopardErrors) {\n    // handle error\n  }\n}\n```\n\nTranscribe an audio file by passing the file path to Leopard:\n```typescript\ntry {\n  const { transcript, words } = await leopard.processFile(\"${AUDIO_FILE_PATH}\")\n  console.log(transcript)\n} catch (err: any) {\n  if (err instanceof LeopardErrors) {\n    // handle error\n  }\n}\n```\n\nFinally, when done be sure to explicitly release the resources using `leopard.delete()`.\n\n### Language Model\n\nCreate a custom model using the [Picovoice Console](https://console.picovoice.ai/) or use one of the default language models found in [lib/common](../../lib/common).\n\n#### Adding to Android\n\nTo add a Leopard model file to your Android application, add the file as a bundled resource by placing it under the `assets` directory of your Android application.\n\n#### Adding to iOS\n\nTo add a Leopard model file to your iOS application, add the file as a bundled resource by selecting Build Phases in `Xcode` and adding it to the `Copy Bundle Resources` step.\n\n### Word Metadata\n\nAlong with the transcript, Leopard returns metadata for each transcribed word. 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