- 
  
    
Transcribing short audio files
Perform synchronous speech recognition on local and remote audio files.
 - 
  
    
Transcribing long audio files
Perform asynchronous speech recognition on remote audio files.
 - 
  
    
Transcribing audio from streaming input
Perform streaming speech recognition on local audio files and other audio input streams.
 
- 
  
    
Enabling word-level confidence
Specify that Cloud Speech-to-Text indicate a value of accuracy, or confidence level, for individual words in a transcription.
 - 
  
    
Separating different speakers
Get labels for different speakers in audio data transcribed by Cloud Speech-to-Text.
 - 
  
    
Detecting language spoken automatically
Provide multiple language codes for audio transcription requests sent to Cloud Speech-to-Text.
 - 
  
    
Transcribing audio with multiple channels
Transcribe audio files that include more than one channel.
 - 
  
    
Selecting a transcription model
Select a specialized machine learning model for audio transcription.
 - 
  
    
Enabling data logging
Enable data logging on your Google Cloud project to receive discounted pricing.
 - 
  
    
Using enhanced models
Use enhanced speech recognition models.
 - 
  
    
Getting punctuation
Include punctuation in transcription results from Speech-to-Text.
 - 
  
    
Getting word timestamps
Perform speech recognition on a remote file and include time offset (timestamp) values for recognized words.