Which audio formats can this skill process?

It can process any audio format supported by the OpenAI Audio API, including .m4a, .mp3, .wav, and .ogg files.

What are the requirements to use the OpenAI Whisper API skill?

You need the 'curl' binary installed on your system and a valid OpenAI API key configured in your environment or configuration file.

How do I improve transcription accuracy for specific terms?

You can use the --prompt flag to provide the model with context, such as specific technical terms or speaker names, to guide the transcription logic.

Can I get the transcription in a machine-readable format?

Yes, by using the --json flag, the skill will output the transcription in a structured JSON format instead of plain text.

OpenAI Whisper Transcriber

Name: OpenAI Whisper Transcriber
Author: HarleyCoops

byHarleyCoops

数据科学与机器学习

Transcribes audio files into text or JSON using OpenAI's Whisper API via simple terminal commands.

关于

The OpenAI Whisper API skill integrates high-accuracy speech-to-text capabilities directly into your development workflow. It enables the automated transcription of various audio formats such as M4A, OGG, and MP3 using the whisper-1 model. This tool is particularly useful for developers who need to process voice data, as it supports custom prompts for context, language specification for improved accuracy, and flexible output options including plain text or structured JSON for further programmatic manipulation.

主要功能

Structured JSON output for data processing
Customizable language and context prompts
Support for multiple audio formats via curl
High-accuracy audio-to-text transcription
Lightweight integration using the whisper-1 model
0 GitHub stars

使用场景

Generating searchable transcripts for meetings and interviews
Automating the creation of subtitles and captions for media files
Converting voice notes into structured data for NLP applications

关于

主要功能

Structured JSON output for data processing
Customizable language and context prompts
Support for multiple audio formats via curl
High-accuracy audio-to-text transcription
Lightweight integration using the whisper-1 model
0 GitHub stars

使用场景

Generating searchable transcripts for meetings and interviews
Automating the creation of subtitles and captions for media files
Converting voice notes into structured data for NLP applications