Convert spoken audio in WAV and MP3 formats into written text transcriptions.
npx skills add https://github.com/e2662020/QuickMovie --skill asr-e2662020
Please help me install this Agent Skill. Skill: ASR Source: https://github.com/e2662020/QuickMovie/tree/main/skills/ASR Command: npx skills add https://github.com/e2662020/QuickMovie --skill asr-e2662020
Manually transcribing audio content from meetings, interviews, podcasts, and voice notes is extremely time-consuming, labor-intensive, and prone to human error. This Skill automates the process to deliver fast, accurate text transcriptions of spoken audio with minimal effort.
Use the ASR skill to transcribe the audio file 'team_weekly_meeting.wav' into a readable, accurate text transcript.
High-intent search queries and answers about installing and using this skill.
To transcribe speech audio to text, you can use this Skill's command-line interface for quick transcriptions or its software development kit to process local WAV and MP3 file paths programmatically.
Yes, you can use base64 encoded audio data for speech-to-text processing. The Skill accepts base64 encoded inputs in common audio formats, enabling automated workflows without needing direct file path access.
Yes, you need the z-ai-web-dev-sdk package installed to run audio transcription tasks. This dependency is required for the Skill to convert spoken audio content into written text transcriptions.
The voice-to-text conversion supports common audio formats including WAV, MP3, M4A, FLAC, and OGG files, allowing you to transcribe spoken audio content without needing any manual format conversion.
The best way to automate meeting documentation and podcast transcription is using this Skill's software development kit to integrate audio processing into custom applications, converting spoken audio content into accurate written text automatically.
The metadata does not specify explicit file size limitations for speech-to-text conversion. It supports common formats like WAV and MP3, accepting both local file paths and base64 encoded audio data for processing.
zeroix07Convert spoken audio from WAV, MP3, M4A, FLAC, and OGG files into written text.
MO196931Transcribe base64 or local audio files into written text.
eskoNBGTranscribe base64-encoded audio to text using the z-ai-web-dev-sdk.
lvhuanidTranscribe spoken audio into written text using the z-ai-web-dev-sdk.
