google/gemini-3.1-flash-tts

ข้อความเป็นเสียง

Gemini 3.1 Flash TTS API by Google

google/gemini-3.1-flash-tts

Gemini-3.1-flash-tts

Gemini text-to-speech (3.1 Flash): latest-generation expressive speech from text with 30 prebuilt voices and natural-language style control. Powered by gemini-3.1-flash-tts-preview.

Gemini 3.1 Flash TTS พัฒนาโดย Google โดย Atlas Cloud (ดำเนินการโดย Atlas Cloud AI LLC) เป็นผู้ให้บริการเข้าถึงโมเดลนี้ แต่ไม่ได้เป็นเจ้าของโมเดล เครื่องหมายการค้าทั้งหมดเป็นของเจ้าของที่เกี่ยวข้อง

อินพุต

ข้อความ *

เสียง

เอาต์พุต

รอดำเนินการ

เสียงที่สร้างขึ้นจะแสดงที่นี่

ป้อนข้อความแล้วคลิกเรียกใช้เพื่อสังเคราะห์เสียงพูด

พารามิเตอร์

ตัวอย่างโค้ด
import requests
import time

# Step 1: Start audio generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateAudio"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "google/gemini-3.1-flash-tts",  # Required. Model name. options: google/gemini-3.1-flash-tts
    "text": "Welcome to Atlas Cloud — One API for All Media AI.",  # Required. Text to synthesize into speech audio
    "voice": "Kore",  # Gemini prebuilt voice
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated audio:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

audio_url = check_status()

ติดตั้ง

ติดตั้งแพ็กเกจที่จำเป็น

pip install requests

การยืนยันตัวตน

คำขอ API ทั้งหมดต้องมีการยืนยันตัวตนผ่าน API key คุณสามารถรับ API key ได้จากแดชบอร์ด Atlas Cloud

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP Headers

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

รักษา API key ของคุณให้ปลอดภัย

อย่าเปิดเผย API key ของคุณในโค้ดฝั่งไคลเอนต์หรือที่เก็บข้อมูลสาธารณะ ให้ใช้ตัวแปรสภาพแวดล้อมหรือพร็อกซีฝั่งเซิร์ฟเวอร์แทน

ส่งคำขอ

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateAudio"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "text": "Hello, welcome to AtlasCloud text-to-speech."
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

ส่งคำขอ

ส่งคำขอสร้างแบบอะซิงโครนัส API จะส่งคืน prediction ID ที่คุณสามารถใช้ตรวจสอบสถานะและดึงผลลัพธ์ได้

POST/api/v1/model/generateAudio

เนื้อหาคำขอ

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateAudio"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "google/gemini-3.1-flash-tts",
    "text": "Hello, welcome to AtlasCloud text-to-speech."
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

การตอบกลับ

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

ตรวจสอบสถานะ

ตรวจสอบสถานะปัจจุบันของคำขอด้วยการเรียก prediction endpoint เป็นระยะ

GET/api/v1/model/prediction/{prediction_id}

ตัวอย่างการตรวจสอบสถานะเป็นระยะ

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

ค่าสถานะ

processingคำขอยังอยู่ระหว่างการประมวลผล

completedการสร้างเสร็จสมบูรณ์แล้ว ผลลัพธ์พร้อมใช้งาน

succeededการสร้างสำเร็จแล้ว ผลลัพธ์พร้อมใช้งาน

failedการสร้างล้มเหลว ตรวจสอบฟิลด์ error

การตอบกลับที่เสร็จสมบูรณ์

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp3"
    ],
    "metrics": {
      "predict_time": 8.3
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Input Schema

พารามิเตอร์ต่อไปนี้ยอมรับในเนื้อหาคำขอ

ทั้งหมด: 3จำเป็น: 2ไม่บังคับ: 1

modelstringrequired

Model name.

Default: "google/gemini-3.1-flash-tts"

google/gemini-3.1-flash-tts

textstringrequired

Text to synthesize into speech audio. Use natural-language instructions in the text for style, accent, pace, and tone control.

Default: "Welcome to Atlas Cloud — One API for All Media AI."

voicestring

Gemini prebuilt voice.

Default: "Kore"

ZephyrPuckCharonKoreFenrirLedaOrusAoedeCallirrhoeAutonoeEnceladusIapetusUmbrielAlgiebaDespinaErinomeAlgenibRasalgethiLaomedeiaAchernarAlnilamSchedarGacruxPulcherrimaAchirdZubenelgenubiVindemiatrixSadachbiaSadaltagerSulafat

ตัวอย่างเนื้อหาคำขอ

{
  "model": "google/gemini-3.1-flash-tts",
  "text": "Welcome to Atlas Cloud — One API for All Media AI.",
  "voice": "Kore"
}

Output Schema

API จะส่งคืนการตอบกลับ prediction พร้อม URL ของผลลัพธ์ที่สร้างขึ้น

idstring

Unique identifier for the prediction.

modelstring

Model ID used for the prediction.

statusstring

Status of the task: created, processing, completed, or failed.

outputsarray

Array of URLs to the generated audio.

created_atstring

ISO timestamp of when the request was created.

ตัวอย่างการตอบกลับ

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.png"
  ],
  "metrics": {
    "predict_time": 8.3
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills เชื่อมต่อโมเดล AI กว่า 400+ เข้ากับผู้ช่วยเขียนโค้ด AI ของคุณโดยตรง ติดตั้งด้วยคำสั่งเดียว จากนั้นใช้ภาษาธรรมชาติเพื่อสร้างรูปภาพ วิดีโอ และสนทนากับ LLM

ไคลเอนต์ที่รองรับ

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ ไคลเอนต์ที่รองรับ

ติดตั้ง

npx skills add AtlasCloudAI/atlas-cloud-skills

ตั้งค่า API Key

รับ API key จากแดชบอร์ด Atlas Cloud และตั้งค่าเป็นตัวแปรสภาพแวดล้อม

export ATLASCLOUD_API_KEY="your-api-key-here"

ความสามารถ

เมื่อติดตั้งแล้ว คุณสามารถใช้ภาษาธรรมชาติในผู้ช่วย AI ของคุณเพื่อเข้าถึงโมเดล Atlas Cloud ทั้งหมด

สร้างรูปภาพสร้างรูปภาพด้วยโมเดลเช่น Nano Banana 2, Z-Image และอื่นๆ

สร้างวิดีโอสร้างวิดีโอจากข้อความหรือรูปภาพด้วย Kling, Vidu, Veo เป็นต้น

สนทนา LLMสนทนากับ Qwen, DeepSeek และโมเดลภาษาขนาดใหญ่อื่นๆ

อัปโหลดสื่ออัปโหลดไฟล์จากเครื่องสำหรับการแก้ไขรูปภาพและเวิร์กโฟลว์รูปภาพเป็นวิดีโอ

เรียนรู้เพิ่มเติม

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server เชื่อมต่อ IDE ของคุณกับโมเดล AI กว่า 400+ ผ่าน Model Context Protocol ใช้งานได้กับไคลเอนต์ที่รองรับ MCP ทุกตัว

ไคลเอนต์ที่รองรับ

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ ไคลเอนต์ที่รองรับ

ติดตั้ง

npx -y atlascloud-mcp

การกำหนดค่า

เพิ่มการกำหนดค่าต่อไปนี้ลงในไฟล์ตั้งค่า MCP ของ IDE ของคุณ

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

เครื่องมือที่ใช้ได้

atlas_generate_imageสร้างรูปภาพจากข้อความ prompt

atlas_generate_videoสร้างวิดีโอจากข้อความหรือรูปภาพ

atlas_chatสนทนากับโมเดลภาษาขนาดใหญ่

atlas_list_modelsเรียกดูโมเดล AI กว่า 400+ ที่ใช้ได้

atlas_quick_generateสร้างเนื้อหาขั้นตอนเดียวพร้อมเลือกโมเดลอัตโนมัติ

atlas_upload_mediaอัปโหลดไฟล์จากเครื่องสำหรับเวิร์กโฟลว์ API

เรียนรู้เพิ่มเติม

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "info": {
    "title": "AtlasCloud API",
    "version": "1.0.0",
    "description": "The AtlasCloud API."
  },
  "openapi": "3.0.0",
  "paths": {
    "/api/v1/model/generateAudio": {
      "post": {
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          },
          "required": true
        },
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "description": "Request ID",
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        }
      },
      "x-api-name": "model_result"
    }
  },
  "components": {
    "schemas": {
      "Input": {
        "type": "object",
        "properties": {
          "model": {
            "type": "string",
            "description": "Model name.",
            "default": "google/gemini-3.1-flash-tts",
            "enum": [
              "google/gemini-3.1-flash-tts"
            ]
          },
          "text": {
            "type": "string",
            "description": "Text to synthesize into speech audio. Use natural-language instructions in the text for style, accent, pace, and tone control.",
            "default": "Welcome to Atlas Cloud — One API for All Media AI.",
            "x-ui-component": "textarea"
          },
          "voice": {
            "type": "string",
            "description": "Gemini prebuilt voice.",
            "default": "Kore",
            "enum": [
              "Zephyr",
              "Puck",
              "Charon",
              "Kore",
              "Fenrir",
              "Leda",
              "Orus",
              "Aoede",
              "Callirrhoe",
              "Autonoe",
              "Enceladus",
              "Iapetus",
              "Umbriel",
              "Algieba",
              "Despina",
              "Erinome",
              "Algenib",
              "Rasalgethi",
              "Laomedeia",
              "Achernar",
              "Alnilam",
              "Schedar",
              "Gacrux",
              "Pulcherrima",
              "Achird",
              "Zubenelgenubi",
              "Vindemiatrix",
              "Sadachbia",
              "Sadaltager",
              "Sulafat"
            ],
            "x-ui-component": "select",
            "x-enum-options": {
              "Zephyr": {
                "name": "Zephyr (Bright)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/zephyr.wav"
              },
              "Puck": {
                "name": "Puck (Upbeat)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/puck.wav"
              },
              "Charon": {
                "name": "Charon (Informative)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/charon.wav"
              },
              "Kore": {
                "name": "Kore (Firm)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/kore.wav"
              },
              "Fenrir": {
                "name": "Fenrir (Excitable)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/fenrir.wav"
              },
              "Leda": {
                "name": "Leda (Youthful)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/leda.wav"
              },
              "Orus": {
                "name": "Orus (Firm)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/orus.wav"
              },
              "Aoede": {
                "name": "Aoede (Breezy)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/aoede.wav"
              },
              "Callirrhoe": {
                "name": "Callirrhoe (Easy-going)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/callirrhoe.wav"
              },
              "Autonoe": {
                "name": "Autonoe (Bright)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/autonoe.wav"
              },
              "Enceladus": {
                "name": "Enceladus (Breathy)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/enceladus.wav"
              },
              "Iapetus": {
                "name": "Iapetus (Clear)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/iapetus.wav"
              },
              "Umbriel": {
                "name": "Umbriel (Easy-going)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/umbriel.wav"
              },
              "Algieba": {
                "name": "Algieba (Smooth)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/algieba.wav"
              },
              "Despina": {
                "name": "Despina (Smooth)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/despina.wav"
              },
              "Erinome": {
                "name": "Erinome (Clear)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/erinome.wav"
              },
              "Algenib": {
                "name": "Algenib (Gravelly)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/algenib.wav"
              },
              "Rasalgethi": {
                "name": "Rasalgethi (Informative)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/rasalgethi.wav"
              },
              "Laomedeia": {
                "name": "Laomedeia (Upbeat)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/laomedeia.wav"
              },
              "Achernar": {
                "name": "Achernar (Soft)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/achernar.wav"
              },
              "Alnilam": {
                "name": "Alnilam (Firm)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/alnilam.wav"
              },
              "Schedar": {
                "name": "Schedar (Even)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/schedar.wav"
              },
              "Gacrux": {
                "name": "Gacrux (Mature)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/gacrux.wav"
              },
              "Pulcherrima": {
                "name": "Pulcherrima (Forward)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/pulcherrima.wav"
              },
              "Achird": {
                "name": "Achird (Friendly)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/achird.wav"
              },
              "Zubenelgenubi": {
                "name": "Zubenelgenubi (Casual)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/zubenelgenubi.wav"
              },
              "Vindemiatrix": {
                "name": "Vindemiatrix (Gentle)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/vindemiatrix.wav"
              },
              "Sadachbia": {
                "name": "Sadachbia (Lively)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/sadachbia.wav"
              },
              "Sadaltager": {
                "name": "Sadaltager (Knowledgeable)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/sadaltager.wav"
              },
              "Sulafat": {
                "name": "Sulafat (Warm)",
                "example": "https://static.atlascloud.ai/model/example/gemini-tts/sulafat.wav"
              }
            }
          }
        },
        "required": [
          "model",
          "text"
        ],
        "x-order-properties": [
          "model",
          "text",
          "voice"
        ]
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "id": {
            "description": "Unique identifier for the prediction.",
            "type": "string"
          },
          "model": {
            "description": "Model ID used for the prediction.",
            "type": "string"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated audio.",
            "items": {
              "type": "string",
              "x-format": "audio"
            },
            "type": "array"
          },
          "created_at": {
            "description": "ISO timestamp of when the request was created.",
            "format": "date-time",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        }
      }
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

เทมเพลต Prompt สำหรับ LLM

# google/gemini-3.1-flash-tts

> Gemini text-to-speech (3.1 Flash): latest-generation expressive speech from text with 30 prebuilt voices and natural-language style control. Powered by gemini-3.1-flash-tts-preview.


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateAudio` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `google/gemini-3.1-flash-tts`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  Model name.
  - Default: `"google/gemini-3.1-flash-tts"`
  - Options: "google/gemini-3.1-flash-tts"

- **`text`** (`string`, _required_):
  Text to synthesize into speech audio. Use natural-language instructions in the text for style, accent, pace, and tone control.
  - Default: `"Welcome to Atlas Cloud — One API for All Media AI."`

- **`voice`** (`string`, _optional_):
  Gemini prebuilt voice.
  - Default: `"Kore"`
  - Options: "Zephyr", "Puck", "Charon", "Kore", "Fenrir", "Leda", "Orus", "Aoede", "Callirrhoe", "Autonoe", "Enceladus", "Iapetus", "Umbriel", "Algieba", "Despina", "Erinome", "Algenib", "Rasalgethi", "Laomedeia", "Achernar", "Alnilam", "Schedar", "Gacrux", "Pulcherrima", "Achird", "Zubenelgenubi", "Vindemiatrix", "Sadachbia", "Sadaltager", "Sulafat"



**Required Parameters Example**:

```json
{
  "model": "google/gemini-3.1-flash-tts",
  "text": "Welcome to Atlas Cloud — One API for All Media AI."
}
```


**Full Example**:

```json
{
  "model": "google/gemini-3.1-flash-tts",
  "text": "Welcome to Atlas Cloud — One API for All Media AI.",
  "voice": "Kore"
}
```


### Output Schema

The API returns the following output format:


- **`id`** (`string`, _optional_):
  Unique identifier for the prediction.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated audio.

- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "id": "",
  "model": "",
  "status": "",
  "outputs": [
    ""
  ],
  "created_at": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateAudio" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "google/gemini-3.1-flash-tts",
  "text": "Welcome to Atlas Cloud — One API for All Media AI.",
  "voice": "Kore"
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/google/gemini-3.1-flash-tts)

As the sun sinks below the horizon, waves roll endlessly toward the shore. The salty breeze carries the rhythm of the sea, while the sky transforms into shades of gold, crimson, and violet. Here, every sunset feels like the closing scene of an unforgettable story.

กำลังโหลด...

Gemini 3.1 Flash TTS

Latest-generation expressive text-to-speech powered by Google's gemini-3.1-flash-tts-preview.

Highlights

30 prebuilt voices — Kore, Puck, Charon, Aoede, Fenrir, Leda, Orus, Zephyr, and more.
Style prompting — steer tone, pace and emotion in natural language inside text, e.g. "Say cheerfully: ..." or "Read slowly and calmly: ...".
Output is a WAV file (24 kHz PCM); billed per 1k characters.

Parameters

field	required	notes
`text`	yes	text to synthesize (may embed a style instruction), ≤10000 chars
`voice_name`	no	prebuilt voice, default `Kore`

สำรวจโมเดลที่คล้ายกัน

NEW

ข้อความเป็นเสียง

MiniMax Music 3.0

MiniMax Music 3.0 is MiniMax's 11.1B-parameter open-weights music model that turns a musical description and optional lyrics into a complete, fully arranged and mixed song of up to five minutes - vocals, instrumentation and production included - in a single generation, with section-tag control over the arrangement and vocal or instrumental output.

MiniMax Lyrics Generation

MiniMax Lyrics Generation is a dedicated lyric-writing model that turns a one-line theme into a complete, professionally structured set of song lyrics - title, style tags, and sections marked with [Verse]/[Chorus] structure tags - and can also edit, continue, or restructure existing lyrics, with output directly usable as the lyrics input of MiniMax's music models.

Seed Audio 1.0

Doubao‑Audio‑Generate‑1.0 is Doubao Voice’s next‑generation audio‑generation engine. The industry‑first commercial tool creates film‑grade audio with just one prompt. It eliminates cumbersome audio‑engineering work. Creators generate publish‑ready radio dramas, podcasts and branded audio easily, shifting from a simple voice‑generator to an AI audio director. It serves audiobooks, serialized episodes and commercial audio for high‑quality narrative‑driven production.

xAI TTS v1

xAI TTS v1 is a high-fidelity text-to-speech model that converts text into natural, expressive speech with sub-second latency, supporting 20 languages and 80+ voices with fine-grained delivery control.

Seed ASR 2.0

BytePlus Seed Speech recording-file recognition (ASR 2.0): transcribe an audio file to text with punctuation, ITN, sentence segmentation, speaker diarization, and 51-language support.

MiniMax Music 2.6

MiniMax text-to-music (latest): generate a full vocal or instrumental song from a style prompt plus lyrics with [Verse]/[Chorus] structure tags. Synchronous single-call generation.

ElevenLabs v3 Text-to-Speech

ElevenLabs v3 Text-to-Speech model. High-quality speech generation from text prompts.

Suno chirp-v6

Suno V6 text-to-music via APIMart: inspiration mode (custom=false) turns a description into a song; custom mode (custom=true) uses your own lyrics, with variety and target duration controls. Async; returns 2 tracks per generation.

Suno chirp-v6-wild

Suno V6 Wild via APIMart: the experimental V6 variant with bolder, less conventional arrangements. Same modes and pricing as chirp-v6. Async; returns 2 tracks per generation.

Suno chirp-v6-mini

Suno V6 Mini via APIMart: the lighter, faster V6 variant for drafts and short clips. Same modes and pricing as chirp-v6. Async; returns 2 tracks per generation.

xAI STT v1

xAI STT v1 is a production-grade speech-to-text model that transcribes audio into accurate, formatted text. It supports 24+ languages with automatic language detection, word-level timestamps, speaker diarization, multichannel transcription, and inverse text normalization.

From

$0.002/นาที

API เดียวสำหรับ AI สื่อทุกประเภท

สำรวจโมเดลทั้งหมด