gemini-2.5-tts

Gemini-powered high-quality text-to-speech. Supports bilingual (EN/CN) and various emotional voices.

Overview

Field	Value
Model ID	`gemini-2-5-pro-preview-tts`
CLI	`dlazy gemini-2.5-tts`
MCP	`gemini-2.5-tts` (Claude Code surfaces this as `mcp__dlazy__gemini-2.5-tts`)
Type	`audio`
Execution	Async task; the CLI polls until completion (`--no-wait` returns `generateId` immediately)
Batch	Supports `--batch <n>` parallel fan-out

Parameters

Arg	Type	Required	Notes
`prompt`	string	Yes	Prompt
`voice_language`	"cmn" \| "en"	No	Voice Language; default `"cmn"`
`voiceName`	string	No	Voice Name Options depend on "voice_language"; default `"Kore"`; options depend on `--voice_language` (see "Dynamic Options")

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

CLI Examples

dlazy gemini-2.5-tts --help
dlazy gemini-2.5-tts --prompt "Write your prompt here"
dlazy gemini-2.5-tts --prompt "Write your prompt here" --dry-run
dlazy gemini-2.5-tts --prompt "Write your prompt here" --no-wait
dlazy gemini-2.5-tts --prompt "Write your prompt here" --batch 4

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__gemini-2.5-tts; generic clients (e.g. OpenClaw) call it as gemini-2.5-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

`--voiceName` (depends on `--voice_language`)

when --voice_language cmn:

ID	Name
`Zephyr`	Zephyr - 明亮
`Puck`	Puck - 欢快
`Charon`	Charon - 信息丰富
`Kore`	Kore - 坚定
`Fenrir`	Fenrir - 兴奋
`Leda`	Leda - 青春
`Orus`	Orus - 公正
`Aoede`	Aoede - 清爽
`Callirrhoe`	Callirrhoe - 轻松
`Autonoe`	Autonoe - 明亮
`Enceladus`	Enceladus - 气声
`Iapetus`	Iapetus - 清晰
`Umbriel`	Umbriel - 轻松愉快
`Algieba`	Algieba - 平滑
`Despina`	Despina - 平滑
`Erinome`	Erinome - 清晰
`Algenib`	Algenib - 沙哑
`Rasalgethi`	Rasalgethi - 信息丰富
`Laomedeia`	Laomedeia - 欢快
`Achernar`	Achernar - 柔和
`Alnilam`	Alnilam - 坚定
`Schedar`	Schedar - 均匀
`Gacrux`	Gacrux - 成熟
`Pulcherrima`	Pulcherrima - 转折
`Achird`	Achird - 友好
`Zubenelgenubi`	Zubenelgenubi - 随意
`Vindemiatrix`	Vindemiatrix - 温和
`Sadachbia`	Sadachbia - 活泼
`Sadaltager`	Sadaltager - 知识渊博
`Sulafat`	Sulafat - 偏高

when --voice_language en:

ID	Name
`Zephyr`	Zephyr - Bright
`Puck`	Puck - Cheerful
`Charon`	Charon - Informative
`Kore`	Kore - Firm
`Fenrir`	Fenrir - Excitable
`Leda`	Leda - Youthful
`Orus`	Orus - Just
`Aoede`	Aoede - Breezy
`Callirrhoe`	Callirrhoe - Relaxed
`Autonoe`	Autonoe - Bright
`Enceladus`	Enceladus - Breath
`Iapetus`	Iapetus - Clear
`Umbriel`	Umbriel - Light
`Algieba`	Algieba - Smooth
`Despina`	Despina - Smooth
`Erinome`	Erinome - Clear
`Algenib`	Algenib - Gravelly
`Rasalgethi`	Rasalgethi - Informative
`Laomedeia`	Laomedeia - Cheerful
`Achernar`	Achernar - Soft
`Alnilam`	Alnilam - Firm
`Schedar`	Schedar - Even
`Gacrux`	Gacrux - Mature
`Pulcherrima`	Pulcherrima - Turning
`Achird`	Achird - Friendly
`Zubenelgenubi`	Zubenelgenubi - Casual
`Vindemiatrix`	Vindemiatrix - Gentle
`Sadachbia`	Sadachbia - Lively
`Sadaltager`	Sadaltager - Scholarly
`Sulafat`	Sulafat - High