Transcribe audio files into text using the OpenAI Whisper API.
npx skills add https://github.com/wangqianCAI/OBI --skill openai-whisper-api-wangqiancai
Please help me install this Agent Skill. Skill: openai-whisper-api Source: https://github.com/wangqianCAI/OBI/tree/main/skills/openai-whisper-api Command: npx skills add https://github.com/wangqianCAI/OBI --skill openai-whisper-api-wangqiancai
This skill solves the challenge of converting spoken audio into accurate, searchable text transcripts without relying on manual transcription services or complex local software setups.
Use the openai-whisper-api skill to transcribe the audio file located at path/to/recording.m4a and save the output to a text file.
High-intent search queries and answers about installing and using this skill.
Yes, you can specify language parameters and custom prompts to improve context accuracy when transcribing speech-to-text. This supports tasks like interview analysis by optimizing the transcription output for specific contexts.
The best way to transcribe meeting recordings is to point the tool at an audio file path and receive a text file output. It leverages OpenAI's Whisper model to quickly generate accurate meeting minutes without manual transcription.
Yes, the speech-to-text approach supports diverse audio formats for various tasks. It processes these formats into text or JSON outputs, making it suitable for meeting documentation, interview analysis, and content accessibility.
Yes, you can specify language parameters and custom prompts to improve context accuracy when transcribing speech-to-text. This supports tasks like interview analysis by optimizing the transcription output for specific contexts.
The best way to transcribe meeting recordings is to point the tool at an audio file path and receive a text file output. It leverages OpenAI's Whisper model to quickly generate accurate meeting minutes without manual transcription.
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