Transcribes base64-encoded audio into plain text via z-ai-web-dev-sdk.
npx skills add https://github.com/Kraits/cxc-ace --skill asr-kraits
Please help me install this Agent Skill. Skill: ASR Source: https://github.com/Kraits/cxc-ace/tree/main/skills-backup/ASR Command: npx skills add https://github.com/Kraits/cxc-ace --skill asr-kraits
Transcribes audio into text for applications that require speech-to-text conversion, enabling accessible transcripts and searchable content.
Transcribe an audio input using the z-ai-web-dev-sdk and return the resulting transcript.
High-intent search queries and answers about installing and using this skill.
To transcribe audio into text on the backend, you send base64-encoded audio data to the server. The service processes the input and returns a plain text transcription of the speech.
Speech-to-text transcription supports common audio formats including WAV, MP3, and M4A. This broad compatibility allows you to process various meeting recordings, podcasts, and voice notes.
Yes, you can use z-ai-web-dev-sdk for meeting transcription in backend services. It accepts base64-encoded audio input and transcribes it into plain text.
To prepare audio files for server-side speech-to-text processing, you must encode the audio data into base64 format. This encoded string is then sent to the backend for transcription.
The best way to convert voice notes into searchable text is using server-side speech-to-text transcription. This process decodes base64 audio and returns accurate plain text, enabling accessible and searchable content.
When processing large audio files for transcription, the base64 encoding requirement may increase payload size and impact transfer speeds. The implementation handles common formats but relies on backend processing capacity for large inputs.
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