Transcribe audio files into plain text using the z-ai-web-dev-sdk.
npx skills add https://github.com/zeustriton/radarDigital_QA --skill asr-zeustriton
Please help me install this Agent Skill. Skill: ASR Source: https://github.com/zeustriton/radarDigital_QA/tree/main/skills/ASR Command: npx skills add https://github.com/zeustriton/radarDigital_QA --skill asr-zeustriton
Speech-to-text transcription enables apps to convert spoken language in audio files into searchable, editable text, increasing accessibility and automation.
Transcribe a local audio file using the CLI: z-ai asr --file ./audio.wav -o transcript.json. For SDK usage, see the included example in skills/ASR/scripts/asr.ts which reads an audio file, encodes to base64, and calls the ASR API.
High-intent search queries and answers about installing and using this skill.
To transcribe speech to text on the backend, this Skill reads local audio files, encodes them to base64, and calls the ASR API via the z-ai-web-dev-sdk to return a plain text transcription.
Yes, you can use base64-encoded audio streams for speech-to-text transcription, as the Skill explicitly supports processing base64-encoded audio inputs alongside local files to generate transcripts.
Yes, the z-ai-web-dev-sdk supports transcribing meeting transcripts, interviews, and podcasts by converting spoken language in audio files into searchable, editable plain text.
The best way to automate voice-enabled app transcription is using this backend Skill with the z-ai-web-dev-sdk, which securely processes audio files and returns plain text for accessibility and automation.
You can run speech-to-text transcription using the CLI command: z-ai asr --file ./audio.wav -o transcript.json, which processes the local audio file and outputs the transcription to a JSON file.
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