openai-whisper-api

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

170 stars

Best use case

openai-whisper-api is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

Teams using openai-whisper-api should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/openai-whisper-api/SKILL.md --create-dirs "https://raw.githubusercontent.com/adoresever/AGI_Ananas/main/26.2.21openclaw-viking/skills/openai-whisper-api/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/openai-whisper-api/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How openai-whisper-api Compares

Feature / Agentopenai-whisper-apiStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# OpenAI Whisper API (curl)

Transcribe an audio file via OpenAI’s `/v1/audio/transcriptions` endpoint.

## Quick start

```bash
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a
```

Defaults:

- Model: `whisper-1`
- Output: `<input>.txt`

## Useful flags

```bash
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1 --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language en
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --prompt "Speaker names: Peter, Daniel"
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.json
```

## API key

Set `OPENAI_API_KEY`, or configure it in `~/.openclaw/openclaw.json`:

```json5
{
  skills: {
    "openai-whisper-api": {
      apiKey: "OPENAI_KEY_HERE",
    },
  },
}
```

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