Convert base64 encoded audio files into written text transcriptions.
npx skills add https://github.com/felipesantiago-coder/fluxo-quadra --skill asr-felipesantiago-coder
Please help me install this Agent Skill. Skill: ASR Source: https://github.com/felipesantiago-coder/fluxo-quadra/tree/main/skills/ASR Command: npx skills add https://github.com/felipesantiago-coder/fluxo-quadra --skill asr-felipesantiago-coder
Manually transcribing spoken audio from meetings, interviews, podcasts, or voice notes into written text is time-consuming and prone to human error. This Skill automates that process to deliver fast, accurate transcriptions without manual effort.
Use the ASR skill to transcribe the spoken content from the audio file 'team-standup-recording.wav' into editable text for your team's knowledge base.
High-intent search queries and answers about installing and using this skill.
Audio transcription is supported for WAV, MP3, M4A, FLAC, and OGG formats. You provide base64 encoded audio input, and the z-ai-web-dev-sdk backend processes these common audio formats to generate accurate written text transcriptions.
To perform speech-to-text conversion on a meeting recording, you encode the audio file as a base64 string. The Skill then leverages the z-ai-web-dev-sdk to convert the spoken audio from your digital meeting recordings into editable text.
Audio transcription is supported for WAV, MP3, M4A, FLAC, and OGG formats. You provide base64 encoded audio input, and the z-ai-web-dev-sdk backend processes these common audio formats to generate accurate written text transcriptions.
To perform speech-to-text conversion on a meeting recording, you encode the audio file as a base64 string. The Skill then leverages the z-ai-web-dev-sdk to convert the spoken audio from your digital meeting recordings into editable text.
Yes, the ASR Skill processes podcast audio and customer support calls. It is designed for use cases like podcast content creation and transcribing hours of customer support call recordings into searchable text for quality analysis.
Yes, you need base64 encoding to convert voice notes to text. The Skill requires base64 encoded audio input to interface with the z-ai-web-dev-sdk backend service and digitize your voice notes accurately.
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