This script converts a video file to an audio file, transcribe the audio file with Google Cloud Platform speech-to-text API, and generates the result into .SRT, .JSON, .TXT file formats.
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Git, Python 3.7 and ffmpeg installed on your system.
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A Google Cloud project with billing enabled.
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A service account with the right to use Speech-to-Text API.
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Download the service account credentials as
credentials.json. Example:{ "type": "service_account", "project_id": "EXAMPLE", "private_key_id": "EXAMPLE", "private_key": "EXAMPLE", "client_email": "EXAMPLE", "client_id": "EXAMPLE", "auth_uri": "https://accounts.google.com/o/oauth2/auth", "token_uri": "https://oauth2.googleapis.com/token", "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs", "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/EXAMPLE" } -
Install the requirements:
pip3 install -r requirements.txt -
Confugure the
.envfile. Example:# Google storage bucket name BUCKET_NAME = "bucket_name" # Maximum characters in each single line in the SRT subtitle file MAX_CHARS = 60 # Location where your ffmpeg binary file is put FFMPEG_LOCATION = "C:\\\Apps\\ffmpeg\\bin\\ffmpeg.exe" FFPROBE_LOCATION = "C:\\\Apps\\ffmpeg\\bin\\ffprobe.exe"
python3 main.py example.mp4 en-US
upload_blob() - Uploads the media file to the Google Storaege bucket.
video_info() - Returns number of channels, bit rate, and sample rate of the video, extracted by running ffmpeg. These parameters are required by Google's API.
video_to_audio() - Converts video into audio, and upload the audio to the Google Storaege bucket.
long_running_recognize() - Transcribes the audio by calling Google Cloud API.
break_sentences() - Breaks sentences by punctuations and maximum sentence length. This ensures that in the video subtitle, the sentence won't be too long.
- Handle non-English languages results