ASR

To transcribe audio files to text, you encode the audio data into base64 format and process it through the speech-to-text SDK. This approach supports various audio formats and enables backend integration for batch processing or real-time streaming transcription.

Yes, the z-ai-web-dev-sdk supports real-time streaming for speech-to-text transcription. You can process live audio input directly, allowing backend applications to generate text output continuously as the audio stream is received.

The best way to batch process audio files for voice to text conversion is using the provided CLI or SDK implementations. These tools allow you to submit multiple base64 encoded audio files efficiently, processing them into searchable and analyzable text.

Yes, this speech to text SDK supports various audio formats for transcription. It converts spoken audio data into written text using base64 encoding, making the resulting output searchable, analyzable, and accessible for backend applications.

You need the z-ai-web-dev-sdk package because it provides the programmatic access required for the speech-to-text transcription capabilities. It serves as the underlying dependency for processing base64 encoded audio data into text via CLI or SDK implementations.