Transcribe base64 encoded audio files into text.
npx skills add https://github.com/pavan53732/ai-app-builder-studio --skill asr-pavan53732
Please help me install this Agent Skill. Skill: ASR Source: https://github.com/pavan53732/ai-app-builder-studio/tree/main/skills/ASR Command: npx skills add https://github.com/pavan53732/ai-app-builder-studio --skill asr-pavan53732
This Skill provides automated speech-to-text transcription capabilities, allowing users to convert spoken audio into written text efficiently.
Use the ASR skill to transcribe the audio file 'meeting_recording.wav'.
High-intent search queries and answers about installing and using this skill.
To convert audio files to text automatically, use speech-to-text transcription to process meeting recordings or audio messages. This allows you to generate searchable text for easier reference and content analysis.
Yes, you can transcribe base64 encoded audio files. The speech-to-text functionality processes base64 encoded data alongside various other audio formats to convert spoken words into written text.
Yes, the speech-to-text process supports various audio formats. It is ideal for applications requiring voice recognition and text conversion for transcription or voice-driven interfaces.
The best way to transcribe meeting recordings is using automated speech-to-text transcription. It accurately converts spoken audio into searchable text, making meeting content easier to reference and analyze.
Yes, you need the z-ai-web-dev-sdk dependency to automate speech-to-text transcription. This environment setup enables the processing logic required to convert your audio files into written text.
TIAN0517Transcribe spoken audio from files or base64 inputs into text.
Dolonia333Transcribe audio to text via OpenAI's Whisper API using curl.
nidhalboumaiza-0Transcribe base64-encoded audio into text using the z-ai-web-dev-sdk.
framerslabTranscribe audio files in batches via the Google Cloud Speech-to-Text API.
