Integration

OpenAI Whisper integration

OpenAI Whisper API for accurate speech-to-text transcription and translation. Transcribe audio in 99+ languages with word-level timestamps, generate subtitles, and translate speech to English. Perfect for meeting transcription, subtitle generation, and audio accessibility applications.

Connect OpenAI Whisper How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in OpenAI Whisper.Built from the 3 OpenAI Whisper tools below, on the connection you add once.

Common OpenAI Whisper use cases

Create voice-overs for videos
Translate international videos to English
Transcribe podcast episodes for show notes
Create video subtitles automatically
Build multilingual customer support systems
Build text-to-speech accessibility features
Generate meeting transcripts
Localize foreign language content
Generate audio for language learning
Produce podcast narration

What you can do with OpenAI Whisper

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Audio, 1 operation

speechSpeechPOSTConverts text to natural-sounding speech audio using OpenAI's TTS models with multiple voice options and speed control.

Transcription, 1 operation

transcribeTranscribePOSTTranscribes audio files to text with word-level timestamps using OpenAI's Whisper model for high-accuracy speech recognition.

Translation, 1 operation

translateTranslatePOSTTranslates audio in any supported language directly to English text, combining transcription and translation in one step.

Use OpenAI Whisper from Claude Code, Cursor or Codex

Connect OpenAI Whisper in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its OpenAI Whisper operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect OpenAI Whisper

Create your workspace
Sign up free. Nothing to install.
Connect OpenAI Whisper once
Add your OpenAI Whisper connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

OpenAI Whisper integration FAQ

What can you do with the OpenAI Whisper integration?

LiveContext exposes 3 operations on OpenAI Whisper, covering audio, transcription and translation. Common uses include Create voice-overs for videos, Translate international videos to English and Transcribe podcast episodes for show notes.