google/gemini-3.1-flash-tts

texte-vers-audio

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 est développé par Google. Atlas Cloud (exploité par Atlas Cloud AI LLC) en fournit l’accès mais n’en est pas propriétaire. Toutes les marques appartiennent à leurs détenteurs respectifs.

Entrée

Texte *

Voix

Sortie

Inactif

Votre audio généré apparaîtra ici

Saisissez du texte et cliquez sur Exécuter pour synthétiser la voix.

Paramètres

Exemple de code
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()

Installer

Installez le package requis pour votre langage.

pip install requests

Authentification

Toutes les requêtes API nécessitent une authentification via une clé API. Vous pouvez obtenir votre clé API depuis le tableau de bord Atlas Cloud.

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

En-têtes HTTP

import os

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

Protégez votre clé API

N'exposez jamais votre clé API dans du code côté client ou dans des dépôts publics. Utilisez plutôt des variables d'environnement ou un proxy backend.

Soumettre une requête

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())

Soumettre une requête

Soumettez une requête de génération asynchrone. L'API renvoie un identifiant de prédiction que vous pouvez utiliser pour vérifier le statut et récupérer le résultat.

POST/api/v1/model/generateAudio

Corps de la requête

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']}")

Réponse

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

Vérifier le statut

Interrogez le point de terminaison de prédiction pour vérifier le statut actuel de votre requête.

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

Exemple d'interrogation

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)

Valeurs de statut

processingLa requête est encore en cours de traitement.

completedLa génération est terminée. Les résultats sont disponibles.

succeededLa génération a réussi. Les résultats sont disponibles.

failedLa génération a échoué. Vérifiez le champ d'erreur.

Réponse terminée

{
  "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"
  }
}

Schema d'entrée

Les paramètres suivants sont acceptés dans le corps de la requête.

Total: 3Requis: 2Optionnel: 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

Exemple de corps de requête

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

Schema de sortie

L'API renvoie une réponse de prédiction avec les URL des résultats générés.

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.

Exemple de réponse

{
  "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 intègre plus de 400 modèles d'IA directement dans votre assistant de codage IA. Une seule commande pour installer, puis utilisez le langage naturel pour générer des images, des vidéos et discuter avec des LLM.

Clients pris en charge

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ clients pris en charge

Installer

npx skills add AtlasCloudAI/atlas-cloud-skills

Configurer la clé API

Obtenez votre clé API depuis le tableau de bord Atlas Cloud et définissez-la comme variable d'environnement.

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

Fonctionnalités

Une fois installé, vous pouvez utiliser le langage naturel dans votre assistant IA pour accéder à tous les modèles Atlas Cloud.

Génération d'imagesGénérez des images avec des modèles comme Nano Banana 2, Z-Image, et plus encore.

Création de vidéosCréez des vidéos à partir de texte ou d'images avec Kling, Vidu, Veo, etc.

Chat LLMDiscutez avec Qwen, DeepSeek et d'autres grands modèles de langage.

Téléversement de médiasTéléversez des fichiers locaux pour l'édition d'images et les workflows image-vers-vidéo.

En savoir plus

github.com/AtlasCloudAI/atlas-cloud-skills

Serveur MCP

Le serveur MCP Atlas Cloud connecte votre IDE avec plus de 400 modèles d'IA via le Model Context Protocol. Compatible avec tout client compatible MCP.

Clients pris en charge

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ clients pris en charge

Installer

npx -y atlascloud-mcp

Configuration

Ajoutez la configuration suivante au fichier de paramètres MCP de votre IDE.

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

Outils disponibles

atlas_generate_imageGénérez des images à partir de prompts textuels.

atlas_generate_videoCréez des vidéos à partir de texte ou d'images.

atlas_chatDiscutez avec de grands modèles de langage.

atlas_list_modelsParcourez plus de 400 modèles d'IA disponibles.

atlas_quick_generateCréation de contenu en une étape avec sélection automatique du modèle.

atlas_upload_mediaTéléversez des fichiers locaux pour les workflows API.

En savoir plus

github.com/AtlasCloudAI/mcp-server

Schéma API

{
  "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"
    }
  ]
}

Template de Prompt pour 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.

Chargement...