ASR

To transcribe speech to text, this Skill processes base64 encoded audio files using the z-ai-web-dev-sdk, converting spoken audio recordings into searchable written text. It requires backend execution to securely handle the transcription process.

Yes, you can use base64 encoded audio for voice input transcription. The Skill directly processes base64 encoded strings to convert audio data into text, enabling voice input features and audio recording analysis without needing direct file uploads.

Speech to text transcription requires a backend environment to execute the z-ai-web-dev-sdk securely. This backend execution ensures accurate audio processing and keeps the transcription workflow protected when handling base64 encoded audio files.

The best way to analyze audio recordings for key information is to transcribe the speech to text. By converting your audio file into a searchable text transcript using the SDK, you can easily locate and reference specific lecture or meeting details.

Yes, you need the z-ai-web-dev-sdk to process audio recordings. This Skill implements its speech-to-text capabilities by relying entirely on the SDK to execute the transcription of base64 audio files into text.

A limitation when transcribing audio files is that the Skill only supports base64 encoded audio formats for speech-to-text processing. Users must encode their audio files into base64 strings before the z-ai-web-dev-sdk can execute the transcription.