Metadata-Version: 2.1
Name: pvleopard
Version: 1.0.6
Summary: Leopard Speech-to-Text Engine.
Home-page: https://github.com/Picovoice/leopard
Author: Picovoice
Author-email: hello@picovoice.ai
License: UNKNOWN
Description: # Leopard Speech-to-Text Engine
        
        Made in Vancouver, Canada by [Picovoice](https://picovoice.ai)
        
        Leopard is an on-device speech-to-text engine. Leopard is:
        
        - Private; All voice processing runs locally. 
        - Accurate [[1]](https://github.com/Picovoice/speech-to-text-benchmark#results)
        - Compact and Computationally-Efficient [[2]](https://github.com/Picovoice/speech-to-text-benchmark#rtf)
        - Cross-Platform:
          - Linux (x86_64)
          - macOS (x86_64, arm64)
          - Windows (x86_64)
          - Android
          - iOS
          - Raspberry Pi (4, 3)
          - NVIDIA Jetson Nano
        
        ## Compatibility
        
        - Python 3
        - Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64), Raspberry Pi (4, 3), and NVIDIA Jetson Nano.
        
        ## Installation
        
        ```console
        pip3 install pvleopard
        ```
        
        ## AccessKey
        
        Leopard requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Leopard SDKs.
        You can get your `AccessKey` for free. Make sure to keep your `AccessKey` secret.
        Signup or Login to [Picovoice Console](https://console.picovoice.ai/) to get your `AccessKey`.
        
        ### Usage
        
        Create an instance of the engine and transcribe an audio file:
        
        ```python
        import pvleopard
        
        handle = pvleopard.create(access_key='${ACCESS_KEY}')
        
        print(handle.process_file('${AUDIO_PATH}'))
        ```
        
        Replace `${ACCESS_KEY}` with yours obtained from [Picovoice Console]((https://console.picovoice.ai/)) and
        `${AUDIO_PATH}` to the path an audio file. Finally, when done be sure to explicitly release the resources using
        `handle.delete()`.
        
        ## Demos
        
        [pvleoparddemo](https://pypi.org/project/pvleoparddemo/) provides command-line utilities for processing audio using
        Leopard.
        
Keywords: Speech-to-Text,Speech Recognition,Voice Recognition,ASR
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Requires-Python: >=3.5
Description-Content-Type: text/markdown
