Cloud Speech API: Converts audio to text by applying powerful neural network models.

• Client Library Documentation
• Product Documentation

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.
2. Enable billing for your project.
3. Enable the Cloud Speech API.
4. Setup Authentication.

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it's possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-speech

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-speech

from google.cloud import speech_v1
from google.cloud.speech_v1 import enums

client = speech_v1.SpeechClient()

encoding = enums.RecognitionConfig.AudioEncoding.FLAC
sample_rate_hertz = 44100
language_code = 'en-US'
config = {'encoding': encoding, 'sample_rate_hertz': sample_rate_hertz, 'language_code': language_code}
uri = 'gs://bucket_name/file_name.flac'
audio = {'uri': uri}

response = client.recognize(config, audio)

• Read the Client Library Documentation for Cloud Speech API API to see other available methods on the client.
• Read the Cloud Speech API Product documentation to learn more about the product and see How-to Guides.
• View this repository’s main README to see the full list of Cloud APIs that we cover.