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Python based interface for interacting with Google Cloud's Speech-to-Text API and Cloud Storage API.

Project description


Python interface for interacting with the Google Speech-to-Text API and Google Cloud Storage API for the purposes of automatic audio transcription. Usage requires a google cloud account with a credential's file issued from it with permissions for both APIs.


pip install InterviewTranscriber

Example End-to-End Workflow

# 1) Upload audio file(s) to Google Coud Coldline Storage bucket.
from Transcriber.Google.Storage import Storage
from Transcriber.Google.Transcriber import TranscriberBeta

storage_connection = Storage(project_id='<project_id>',

# 2) Get URI list of files in bucket
file_list = storage_connection.get_uris(bucket_name='<cloud_bucket_name>')

# 3) Send API call to transcribe audio
transcriber = TranscriberBeta(output_directory='<path_to_output_directory>',


# 4) Export as a Praat TextGrid

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