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Python SDK for the Voicegain Speech-to-Text API.
This API allows for large vocabulary speech-to-text transcription as well as grammar-based speech recognition. Both real-time and offline use cases are supported.
You can see the core Voicegain API documentation here.
The complete documentation for the API covered by this SDK is available here - this link requires an account on the Voicegain portal - see below for how to sign up.
In order to use this API you need account with Voicegain. You can create an account by signing up on Voicegain Portal. No credit card required to sign up.
You can see pricing here - basically, it is 1 cent a minute for off-line and 1.25 cents a minute for real-time. There is a Free Tier of 600 minutes that renews each month.
From PyPI directly:
pip install voicegain_speech
configuration:
from voicegain_speech import ApiClient
from voicegain_speech import Configuration
from voicegain_speech import TranscribeApi
import base64
# configure your JWT token
JWT = "Your <JWT>"
configuration = Configuration()
configuration.access_token = JWT
api_client = ApiClient(configuration=configuration)
transcribe local file:
transcribe_api = TranscribeApi(api_client)
file_path = "Your local file path"
with open(file_path, "rb") as f:
audio_base64 = base64.b64encode(f.read()).decode()
response = transcribe_api.asr_transcribe_post(
sync_transcription_request={
"audio": {
"source": {
"inline": {
"data": audio_base64
}
}
}
}
)
alternatives = response.result.alternatives
if alternatives:
local_result = alternatives[0].utterance
print("result from file: ", local_result)
else:
local_result = None
print("no transcription")
More examples can be found in examples folder on our GitHub
Learn more about the Voicegain Voice AI Platform at www.voicegain.ai
FAQs
Voicegain Speech-to-Text Python SDK
We found that voicegain-speech demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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