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Sonilo Text to SFX API

sonilo /

Sonilo Text to SFX generates sound effects from text prompts, with controllable duration and audio format for games, videos, ads, social content, and sound design workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-audio
Entrada

Ocioso

$0.002por execução·~500 / $1

ExemplosVer todos

Cinematic underwater sound effects: deep ocean pressure, muffled diver breathing, air bubbles rising, flashlight hum, distant whale-like echoes, tiny rocks shifting on ancient ruins, soft sonar pings, water currents moving through broken stone gates. Mysterious, immersive, realistic, no music, no vocals.

Modelos relacionados

README

Sonilo Text-to-SFX

Sonilo Text-to-SFX generates sound effects from a text prompt. Describe the sound source, environment, timing, motion, and intensity, then choose the target duration and output format.

Why Choose This?

  • Text-to-sound-effect generation
    Generate sound effects directly from natural-language prompts.

  • Precise sound direction
    Describe the sound source, action, environment, timing, and intensity for more controlled results.

  • Flexible duration
    Generate sound effects in your prefer seconds.

  • Multiple audio formats
    Export audio as wav, mp3, aac, or flac.

  • Standard audio output
    Generated audio is returned as a URL in the standard WaveSpeed prediction response.

Parameters

ParameterRequiredDescription
promptYesText prompt describing the sound effect. Maximum length: 2,000 characters.
durationYesTarget sound-effect duration in seconds. Range: 1 to 180.
audio_formatNoOutput format: wav, mp3, aac, or flac. Default: aac.

How to Use

  1. Write your prompt — Describe the sound source, action, environment, timing, and intensity.
  2. Set duration — Choose a target duration from 1 to 180 seconds.
  3. Choose audio format — Select wav, mp3, aac, or flac.
  4. Submit — Generate the sound effect and retrieve the output URL.

Output

Returns one generated audio URL in the standard WaveSpeed prediction response.

The CDN file extension and MIME type match the selected audio_format.

Pricing

UnitPrice
Per second$0.002
Per minute$0.12

Best Use Cases

  • Sound effect generation — Create custom SFX from text prompts.
  • Video and game audio — Generate short sound assets for scenes, actions, impacts, ambience, and transitions.
  • Content production — Create audio effects for ads, social videos, podcasts, and creative projects.
  • Ambient sound design — Generate environmental sounds such as rain, wind, crowds, machinery, or room tone.
  • Rapid audio prototyping — Quickly test different sound directions before final production.

Pro Tips

  • Describe the sound source clearly, such as footsteps, glass breaking, thunder, engine noise, or crowd ambience.
  • Include environment details, such as indoor room, forest, city street, underwater, or large hall.
  • Mention timing and intensity, such as sudden, gradual, distant, close-up, soft, heavy, sharp, or explosive.
  • Use shorter durations for quick effects and longer durations for ambience or background sound.
  • Choose aac for general-purpose output, wav or flac for higher-quality workflows, and mp3 for broad compatibility.
Nota:Este site utiliza modelos de IA fornecidos por terceiros.

v1 Text To Sfx API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/sonilo/v1/text-to-sfx with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for v1 Text To Sfx below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "duration": 1,
    "audio_format": "aac"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/sonilo/v1/text-to-sfx" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/sonilo/v1/text-to-sfx";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "duration": 1,
        "audio_format": "aac"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "duration": 1,
    "audio_format": "aac"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/sonilo/v1/text-to-sfx", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

v1 Text To Sfx API — Frequently asked questions

What is the v1 Text To Sfx API?

v1 Text To Sfx is a Sonilo model for audio generation, exposed as a REST API on WaveSpeedAI. Sonilo Text to SFX generates sound effects from text prompts, with controllable duration and audio format for games, videos, ads, social content, and sound design workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the v1 Text To Sfx API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/sonilo/sonilo-v1-text-to-sfx.

How much does v1 Text To Sfx cost per run?

v1 Text To Sfx starts at $0.002 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does v1 Text To Sfx accept?

Key inputs: `prompt`, `duration`, `audio_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/sonilo/sonilo-v1-text-to-sfx.

How do I get started with the v1 Text To Sfx API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use v1 Text To Sfx outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Sonilo). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Sonilo Text to SFX API | WaveSpeedAI