Transcribe base64-encoded audio from files or streams into plain text.
npx skills add https://github.com/lucasmattosped/Blueberry-Math-Analyzer- --skill asr-lucasmattosped
Please help me install this Agent Skill. Skill: ASR Source: https://github.com/lucasmattosped/Blueberry-Math-Analyzer-/tree/main/ASR Command: npx skills add https://github.com/lucasmattosped/Blueberry-Math-Analyzer- --skill asr-lucasmattosped
Transcribe spoken audio into text to enable searchable transcripts, voice interfaces, and audio analytics.
Run the asr.ts script with your audio file path to obtain a transcription.
High-intent search queries and answers about installing and using this skill.
To transcribe audio files into text, you can run the provided TypeScript script with your audio file path to process the recording and output a plain text transcription using the z-ai-web-dev-sdk backend.
Yes, you can use base64-encoded audio for speech-to-text processing. The system explicitly supports base64 encoded audio inputs, enabling easy integration with web and server applications.
Common use cases for converting speech to text include generating searchable meeting transcriptions, processing interviews, transcribing podcasts, and creating accessibility text from recorded audio streams.
The speech-to-text script supports audio analysis across files, recordings, and streams. It processes spoken audio through the z-ai-web-dev-sdk backend to output plain text transcriptions.
Before running the audio transcription script, you need the z-ai-web-dev-sdk dependency installed in your environment and an accessible audio file path or base64-encoded audio string ready for processing.
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