Openvoice Serverless API

OpenVoice is a versatile voice cloning model that supports multiple languages and offers precise tone replication, flexible style control, and zero-shot cross-lingual capabilities

~10.58s
POST /v2/openvoice · submit + poll
 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3import segmind
 4
 5# Async (v2): submit to the queue and block until COMPLETED.
 6# run() returns the final result dict (600s deadline, 1.0s poll by default).
 7result = segmind.run(
 8    "openvoice",
 9    input_audio="https://segmind-sd-models.s3.amazonaws.com/display_images/openvoice-ip.mp3",
10    language="EN_NEWEST",
11    speed=1,
12    text="Did you ever hear a folk tale about a giant turtle?",
13)
14print(result["status"])                      # COMPLETED
15print(result.get("output"))                  # model output (e.g. media URL)
16print(result["metrics"]["inference_time"])   # server compute seconds
17
18# --- Or submit + poll manually (track request_id, control the cadence) ---
19from segmind import SegmindClient, InferenceFailed, InferenceTimeout
20
21client = SegmindClient()                      # reads SEGMIND_API_KEY
22payload = {
23    "input_audio": "https://segmind-sd-models.s3.amazonaws.com/display_images/openvoice-ip.mp3",
24    "language": "EN_NEWEST",
25    "speed": 1,
26    "text": "Did you ever hear a folk tale about a giant turtle?",
27}
28job = client.submit_async("openvoice", **payload)
29print(job.request_id)                         # available immediately
30try:
31    result = job.wait(timeout=600, interval=1.0)
32except InferenceTimeout as e:
33    print("still running:", e.request_id)
34except InferenceFailed as e:
35    print("failed:", e.detail)

API Endpoint

POSThttps://api.segmind.com/v1/openvoice

Parameters

input_audiorequired
string (uri)

Input reference audio (5-120 seconds) of a person speaking, used for training an audio model to capture voice characteristics

Default: "https://segmind-sd-models.s3.amazonaws.com/display_images/openvoice-ip.mp3"
speedrequired
number

Speed at which the output audio is generated

Default: 1Range: 0.5 - 2
textrequired
string

Text to be spoken or processed

Default: "Did you ever hear a folk tale about a giant turtle?"
languageoptional
string

The language of the audio to be generated British English, American English, Indian English, French ,Chinese, Japanese, Korean are supported

Default: "EN_NEWEST"
Allowed values (11 total):
"EN_NEWEST""EN""ES""FR""ZH""JP""KR""EN_US""EN_BR""EN_INDIA"+1 more

Response Type

Returns: Audio

Asynchronous requests (v2)

Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.

  1. 1
    POST /v2/openvoice

    Submitreturns request_id, status_url, response_url

  2. 2
    GET /v2/requests/{id}/status

    Polluntil COMPLETED or FAILED

  3. 3
    GET /v2/requests/{id}

    Resultfinal response body

Status states

QUEUEDAccepted, waiting for a worker
PROCESSINGRunning on a worker
COMPLETEDDone — result body is ready
FAILEDErrored (incl. content/RAI blocks)
  • A FAILED request is served as HTTP 422 — the body still carries the error detail.
  • An unknown or expired request_id returns HTTP 404.
  • Results are retained for 1 hour, then expire.
  • Content / RAI blocks surface as FAILED, not a separate state.
  • Track completion by polling the status endpoint.

Common Error Codes

The API returns standard HTTP status codes. Detailed error messages are provided in the response body.

400

Bad Request

Invalid parameters or request format

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions

404

Not Found

Model or endpoint not found

406

Insufficient Credits

Not enough credits to process request

429

Rate Limited

Too many requests

500

Server Error

Internal server error

502

Bad Gateway

Service temporarily unavailable

504

Timeout

Request timed out