minimax/music-2.6

टेक्स्ट-से-ऑडियो

MiniMax Music 2.6 API by MiniMax

minimax/music-2.6

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.

MiniMax Music 2.6 को MiniMax द्वारा विकसित किया गया है। Atlas Cloud (Atlas Cloud AI LLC द्वारा संचालित) इस तक पहुँच प्रदान करता है, इसका स्वामी नहीं है। सभी ट्रेडमार्क उनके संबंधित स्वामियों की संपत्ति हैं।

इनपुट

प्रॉम्प्ट *

बोल

वाद्य संगीत

फ़ॉर्मैट

सैंपल रेट

बिटरेट

आउटपुट

निष्क्रिय

आपका गाना यहाँ दिखाई देगा

गाने का विवरण दें और गाना बनाने के लिए Run पर क्लिक करें।

पैरामीटर

कोड उदाहरण
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": "minimax/music-2.6",  # Required. Model name. options: minimax/music-2.6
    "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",  # Required. Style / mood / genre / instrumentation description, e
    "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",  # Song lyrics
    "is_instrumental": False,  # Generate instrumental music only (no vocals)
    "format": "mp3",  # Output audio format. options: mp3 | wav | pcm
    "sample_rate": 44100,  # Output sample rate (Hz). options: 16000 | 24000 | 32000 | 44100
    "bitrate": 256000,  # Output bitrate (bps). options: 32000 | 64000 | 128000 | 256000
}

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()

इंस्टॉल करें

अपनी प्रोग्रामिंग भाषा के लिए आवश्यक पैकेज इंस्टॉल करें।

pip install requests

प्रमाणीकरण

सभी API अनुरोधों के लिए API कुंजी के माध्यम से प्रमाणीकरण आवश्यक है। आप अपनी API कुंजी Atlas Cloud डैशबोर्ड से प्राप्त कर सकते हैं।

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

HTTP हेडर

import os

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

अपनी API कुंजी सुरक्षित रखें

क्लाइंट-साइड कोड या सार्वजनिक रिपॉज़िटरी में अपनी API कुंजी कभी उजागर न करें। इसके बजाय एनवायरनमेंट वेरिएबल या बैकएंड प्रॉक्सी का उपयोग करें।

अनुरोध सबमिट करें

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())

अनुरोध सबमिट करें

एक असिंक्रोनस जनरेशन अनुरोध सबमिट करें। API एक प्रेडिक्शन ID लौटाता है जिसका उपयोग आप स्थिति जाँचने और परिणाम प्राप्त करने के लिए कर सकते हैं।

POST/api/v1/model/generateAudio

अनुरोध बॉडी

import requests

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

data = {
    "model": "minimax/music-2.6",
    "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']}")

प्रतिक्रिया

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

स्थिति जाँचें

अपने अनुरोध की वर्तमान स्थिति जाँचने के लिए प्रेडिक्शन एंडपॉइंट को पोल करें।

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

पोलिंग उदाहरण

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)

स्थिति मान

processingअनुरोध अभी भी प्रोसेस हो रहा है।

completedजनरेशन पूर्ण हो गया है। आउटपुट उपलब्ध हैं।

succeededजनरेशन सफल रहा। आउटपुट उपलब्ध हैं।

failedजनरेशन विफल हो गया। एरर फ़ील्ड जाँचें।

पूर्ण प्रतिक्रिया

{
  "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

अनुरोध बॉडी में निम्नलिखित पैरामीटर स्वीकार किए जाते हैं।

कुल: 7आवश्यक: 2वैकल्पिक: 5

modelstringrequired

Model name.

Default: "minimax/music-2.6"

minimax/music-2.6

promptstringrequired

Style / mood / genre / instrumentation description, e.g. "upbeat electronic pop, female vocal, energetic, catchy hook, 120bpm". Max 2000 chars.

Default: "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm"

lyricsstring

Song lyrics. Separate lines with a newline; use a blank line for a pause. Supports structure tags: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Max 3500 chars. Leave empty (with is_instrumental=true) for instrumental.

Default: "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came"

is_instrumentalboolean

Generate instrumental music only (no vocals).

Default: false

formatstring

Output audio format.

Default: "mp3"

mp3wavpcm

sample_rateinteger

Output sample rate (Hz).

Default: 44100

16000240003200044100

bitrateinteger

Output bitrate (bps).

Default: 256000

3200064000128000256000

अनुरोध बॉडी का उदाहरण

{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
  "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
  "is_instrumental": false,
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000
}

Output Schema

API जनरेट किए गए आउटपुट URL के साथ एक प्रेडिक्शन प्रतिक्रिया लौटाता है।

created_atstring

ISO timestamp of when the request was created.

idstring

Unique identifier for the prediction.

modelstring

Model ID used for the prediction.

outputsarray

Array of URLs to the generated music.

statusstring

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

प्रतिक्रिया का उदाहरण

{
  "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 400+ AI मॉडल को सीधे आपके AI कोडिंग असिस्टेंट में इंटीग्रेट करता है। इंस्टॉल करने के लिए एक कमांड, फिर इमेज, वीडियो जनरेट करने और LLM के साथ चैट करने के लिए प्राकृतिक भाषा का उपयोग करें।

समर्थित क्लाइंट

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ समर्थित क्लाइंट

इंस्टॉल करें

npx skills add AtlasCloudAI/atlas-cloud-skills

API कुंजी सेटअप करें

Atlas Cloud डैशबोर्ड से अपनी API कुंजी प्राप्त करें और इसे एनवायरनमेंट वेरिएबल के रूप में सेट करें।

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

क्षमताएँ

एक बार इंस्टॉल होने के बाद, आप सभी Atlas Cloud मॉडल तक पहुँचने के लिए अपने AI असिस्टेंट में प्राकृतिक भाषा का उपयोग कर सकते हैं।

इमेज जनरेशनNano Banana 2, Z-Image और अन्य मॉडल के साथ इमेज जनरेट करें।

वीडियो निर्माणKling, Vidu, Veo आदि के साथ टेक्स्ट या इमेज से वीडियो बनाएँ।

LLM चैटQwen, DeepSeek और अन्य बड़े भाषा मॉडल के साथ चैट करें।

मीडिया अपलोडइमेज एडिटिंग और इमेज-टू-वीडियो वर्कफ़्लो के लिए लोकल फ़ाइलें अपलोड करें।

और जानें

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server आपके IDE को Model Context Protocol के माध्यम से 400+ AI मॉडल से जोड़ता है। किसी भी MCP-संगत क्लाइंट के साथ काम करता है।

समर्थित क्लाइंट

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ समर्थित क्लाइंट

इंस्टॉल करें

npx -y atlascloud-mcp

कॉन्फ़िगरेशन

अपने IDE की MCP सेटिंग्स फ़ाइल में निम्नलिखित कॉन्फ़िगरेशन जोड़ें।

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

उपलब्ध टूल

atlas_generate_imageटेक्स्ट प्रॉम्प्ट से इमेज जनरेट करें।

atlas_generate_videoटेक्स्ट या इमेज से वीडियो बनाएँ।

atlas_chatबड़े भाषा मॉडल के साथ चैट करें।

atlas_list_models400+ उपलब्ध AI मॉडल ब्राउज़ करें।

atlas_quick_generateऑटो मॉडल चयन के साथ एक-चरण कंटेंट निर्माण।

atlas_upload_mediaAPI वर्कफ़्लो के लिए लोकल फ़ाइलें अपलोड करें।

और जानें

github.com/AtlasCloudAI/mcp-server

API स्कीमा

{
  "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": "minimax/music-2.6",
            "enum": [
              "minimax/music-2.6"
            ]
          },
          "prompt": {
            "type": "string",
            "description": "Style / mood / genre / instrumentation description, e.g. \"upbeat electronic pop, female vocal, energetic, catchy hook, 120bpm\". Max 2000 chars.",
            "default": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
            "x-ui-component": "textarea",
            "maxLength": 2000
          },
          "lyrics": {
            "type": "string",
            "description": "Song lyrics. Separate lines with a newline; use a blank line for a pause. Supports structure tags: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Max 3500 chars. Leave empty (with is_instrumental=true) for instrumental.",
            "default": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
            "x-ui-component": "textarea",
            "maxLength": 3500
          },
          "is_instrumental": {
            "type": "boolean",
            "description": "Generate instrumental music only (no vocals).",
            "default": false,
            "x-ui-component": "switch"
          },
          "format": {
            "type": "string",
            "description": "Output audio format.",
            "default": "mp3",
            "enum": [
              "mp3",
              "wav",
              "pcm"
            ],
            "x-ui-component": "select"
          },
          "sample_rate": {
            "type": "integer",
            "description": "Output sample rate (Hz).",
            "default": 44100,
            "enum": [
              16000,
              24000,
              32000,
              44100
            ],
            "x-ui-component": "select"
          },
          "bitrate": {
            "type": "integer",
            "description": "Output bitrate (bps).",
            "default": 256000,
            "enum": [
              32000,
              64000,
              128000,
              256000
            ],
            "x-ui-component": "select"
          }
        },
        "required": [
          "model",
          "prompt"
        ],
        "x-order-properties": [
          "model",
          "prompt",
          "lyrics",
          "is_instrumental",
          "format",
          "sample_rate",
          "bitrate"
        ]
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "created_at": {
            "description": "ISO timestamp of when the request was created.",
            "format": "date-time",
            "type": "string"
          },
          "id": {
            "description": "Unique identifier for the prediction.",
            "type": "string"
          },
          "model": {
            "description": "Model ID used for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated music.",
            "items": {
              "type": "string",
              "x-format": "audio"
            },
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        }
      }
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

LLM के लिए प्रॉम्प्ट टेम्पलेट

# 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.


## 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**: `minimax/music-2.6`


## 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: `"minimax/music-2.6"`
  - Options: "minimax/music-2.6"

- **`prompt`** (`string`, _required_):
  Style / mood / genre / instrumentation description, e.g. "upbeat electronic pop, female vocal, energetic, catchy hook, 120bpm". Max 2000 chars.
  - Default: `"upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm"`

- **`lyrics`** (`string`, _optional_):
  Song lyrics. Separate lines with a newline; use a blank line for a pause. Supports structure tags: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Max 3500 chars. Leave empty (with is_instrumental=true) for instrumental.
  - Default: `"[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came"`

- **`is_instrumental`** (`boolean`, _optional_):
  Generate instrumental music only (no vocals).
  - Default: `false`

- **`format`** (`string`, _optional_):
  Output audio format.
  - Default: `"mp3"`
  - Options: "mp3", "wav", "pcm"

- **`sample_rate`** (`integer`, _optional_):
  Output sample rate (Hz).
  - Default: `44100`
  - Options: 16000, 24000, 32000, 44100

- **`bitrate`** (`integer`, _optional_):
  Output bitrate (bps).
  - Default: `256000`
  - Options: 32000, 64000, 128000, 256000



**Required Parameters Example**:

```json
{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm"
}
```


**Full Example**:

```json
{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
  "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
  "is_instrumental": false,
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000
}
```


### Output Schema

The API returns the following output format:


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

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

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

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

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

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



**Example Response**:

```json
{
  "created_at": "",
  "id": "",
  "model": "",
  "outputs": [
    ""
  ],
  "status": "",
  "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": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
  "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
  "is_instrumental": false,
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000
}'

# 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/minimax/music-2.6)

Cinematic acoustic folk, warm male vocal, intimate, emotional, fingerstyle guitar, ambient textures, soft harmonies, hopeful, 90 BPM.

लोड हो रहा है...

MiniMax Music

Generate a complete song — vocals or instrumental — from a short style prompt plus lyrics, in a single synchronous call.

Highlights

Text-to-music: describe the genre/mood/instrumentation in prompt, provide lyrics with structure tags.
Structure tags in lyrics: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Separate lines with a newline; a blank line adds a pause.
Instrumental mode via is_instrumental=true (lyrics optional).
Output is a downloadable audio file (mp3/wav/pcm), up to ~5 minutes.

Parameters

field	required	notes
`prompt`	yes	style / mood / genre / instrumentation, ≤2000 chars
`lyrics`	for vocals	lyric text with structure tags, ≤3500 chars
`is_instrumental`	no	instrumental-only, no vocals
`format`	no	`mp3` (default) / `wav` / `pcm`
`sample_rate`	no	16000 / 24000 / 32000 / 44100 (default)
`bitrate`	no	32000 / 64000 / 128000 / 256000 (default)

समान मॉडल देखें

NEW

टेक्स्ट-से-ऑडियो

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.

Suno chirp-v4-5-all

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

Suno chirp-v4-5-plus

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

Suno chirp-auk

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

Suno chirp-fenix

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

Suno chirp-v3-5

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

Suno chirp-v4

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

Suno chirp-v5

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

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.

ElevenLabs v3 Text-to-Speech

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

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/मिनट

हर मीडिया AI के लिए एक ही API।

सभी मॉडल एक्सप्लोर करें