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⚡️New Features in our Python SDK for Real-Time Transcription
We're excited to announce some new features to our Python SDK, to improve your experience with building with real-time transcription. Here's what's new:
- Temporary Authentication Support for Real-Time: We've introduced temporary authentication support for Real-Time transcription. With the new token parameter in RealtimeTranscriber and the create_temporary_token() function, developers can use a token as an alternative authentication method to avoid exposing their API key to the client.
# Create a temporary token:
token = aai.RealtimeTranscriber.create_temporary_token(
expires_in=3000
)
# Use the token
transcriber = aai.RealtimeTranscriber(
sample_rate=16_000,
token=token
)
- Mu-law Support for Real-Time: Introducing Mu-law support for real-time transcription, which increases the types of audio encodings we handle. With the new encoding parameter in RealtimeTranscriber, transcribe Mu-law encoded audio in just a few lines of code.
# Use Mu-law encoding
transcriber = aai.RealtimeTranscriber(
sample_rate=16_000,
encoding=aai.AudioEncoding.pcm_mulaw
)
Check out our real-time docs for more information.
Real-Time Transcription With AssemblyAI
AssemblyAI makes it possible to achieve real-time speech-to-text with microphone input in just a few lines of code. With real-time transcription, you can develop features such as voice-bots, automated subtitles for live speeches, language learning tools, and customer support chatbots. Explore the following tutorials to start using real-time speech-to-text in your applications:
- Real-time transcription in Python (Tutorial)
- Develop a Real-time Speech-to-Text app with google docs using LLMs.
- Build a talking AI chatbot with Text-to-Speech.
Start building applications with our real-time speech-to-text docs.
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