keling-tts

Text-to-speech model (TTS), supports language, voice, speed, and output format settings. Suitable for dubbing, audiobooks, and voice broadcasts.

Overview

Parameters

--input @file.json or --input '{...}' can supply all args at once; flags take precedence over --input keys.

CLI Examples

dlazy keling-tts --help
dlazy keling-tts --prompt "Write your prompt here"
dlazy keling-tts --prompt "Write your prompt here" --dry-run
dlazy keling-tts --prompt "Write your prompt here" --no-wait
dlazy keling-tts --prompt "Write your prompt here" --batch 4

MCP

MCP is consumed by AI clients, not handwritten. Once dLazy is registered as an MCP server the tool appears in the client's tool list — Claude Code surfaces it as mcp__dlazy__keling-tts; generic clients (e.g. OpenClaw) call it as keling-tts.

See MCP setup for how to add the server.

Output

{
  "outputs": [
    { "type": "audio", "id": "o_...", "url": "https://files.dlazy.com/result.mp3", "mimeType": "audio/mpeg" }
  ]
}

Media tools emit image / video / audio / file outputs. Use --output url to print only the URLs on stdout.

Dynamic Options

--voiceId (depends on --voice_language)

when --voice_language zh:

when --voice_language en: