openai-whisper

name	openai-whisper
description	Speech-to-text transcription via OpenAI Whisper. Supports two modes — Local CLI (no API key, runs on-device) and Cloud API (fast, scalable, requires OPENAI_API_KEY). Use when the user needs to transcribe audio files, translate speech, or convert audio to text.
homepage	https://openai.com/research/whisper

OpenAI Whisper — Speech-to-Text

Transcribe audio files using OpenAI's Whisper model. Two modes available depending on your needs:

Mode	Latency	Cost	Privacy	Setup
Local CLI	Slower (on-device GPU/CPU)	Free	Audio never leaves machine	Install whisper binary
Cloud API	Fast	Per-minute pricing	Audio sent to OpenAI	OPENAI_API_KEY required

---

Mode 1: Local CLI

Run Whisper locally with no API key required. Models download to ~/.cache/whisper on first run.

Quick Start

whisper /path/audio.mp3 --model medium --output_format txt --output_dir .

Common Commands

# Transcribe to text file
whisper /path/audio.mp3 --model medium --output_format txt --output_dir .

# Transcribe with translation to English
whisper /path/audio.m4a --task translate --output_format srt

# Transcribe with specific language
whisper /path/audio.wav --model large --language en --output_format json

Model Selection

Model	Speed	Accuracy	VRAM
tiny	Fastest	Lowest	~1 GB
base	Fast	Low	~1 GB
small	Medium	Good	~2 GB
medium	Slow	Better	~5 GB
large	Slowest	Best	~10 GB
turbo	Fast	Good (default)	~6 GB

Output Formats

• txt — Plain text transcript
• srt — SubRip subtitle format with timestamps
• vtt — WebVTT subtitle format
• json — Detailed JSON with word-level timestamps
• tsv — Tab-separated values

Notes

• --model defaults to turbo on most installs
• Use smaller models for speed, larger for accuracy
• GPU acceleration used automatically when available

---

Mode 2: Cloud API

Transcribe via OpenAI's /v1/audio/transcriptions endpoint. Faster for large batches, no local GPU needed.

Quick Start

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

Defaults:

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

Common Commands

# Basic transcription
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a

# Specify model and output
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1 --out /tmp/transcript.txt

# With language hint
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language en

# With speaker name hints (improves accuracy)
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --prompt "Speaker names: Peter, Daniel"

# JSON output with timestamps
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.json

Raw curl Example

curl https://api.openai.com/v1/audio/transcriptions \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F file="@/path/to/audio.m4a" \
  -F model="whisper-1" \
  -F response_format="text"

API Key Setup

Set OPENAI_API_KEY environment variable, or configure in ~/.clawdbot/clawdbot.json:

{
  skills: {
    "openai-whisper-api": {
      apiKey: "OPENAI_KEY_HERE"
    }
  }
}

---

Choosing Between Modes

Consideration	Local CLI	Cloud API
Privacy-sensitive audio	Best	Audio sent to OpenAI
Large batch processing	Slow without GPU	Fast and parallel
Offline usage	Works offline	Requires internet
Cost	Free (hardware cost)	Per-minute pricing
Setup complexity	Install binary + models	API key only
Audio format support	Most formats	Most formats