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Speech 02 HD

minimax /

Minimax Speech 02 HD is Minimax's high-definition text-to-speech model delivering clear HD voices; pricing $0.05 per 1,000 characters. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-audio
Wejście
Hint: Desired voice ID. Use a voice ID you have trained (https://wavespeed.ai/models/minimax/voice-clone), or one of the following system voice IDs: Wise_Woman, Friendly_Person, Inspirational_girl, Deep_Voice_Man, Calm_Woman, Casual_Guy, Lively_Girl, Patient_Man, Young_Knight, Determined_Man, Lovely_Girl, Decent_Boy, Imposing_Manner, Elegant_Man, Abbess, Sweet_Girl_2, Exuberant_Girl
This parameter supports English text normalization, which improves performance in number-reading scenarios.

Bezczynny

$0.05za uruchomienie·~20 / $1

PrzykładyZobacz wszystkie

Powiązane modele

README

MiniMax Speech-02-HD

MiniMax Speech-02-HD is a high-definition text-to-speech (TTS) model that brings your words to life with natural pronunciation and studio-grade clarity. Perfect for creators, educators, and developers, it supports multi-lingual voices, flexible speed / volume / pitch controls, and delivers audio that sounds as if recorded by a real human voice actor. 🎧

🌟 Why it sounds great

  • 🎵 High-definition synthesis: captures human-like tone, rhythm, and emotional nuance.
  • 🌍 Multi-lingual support: speaks English, Chinese, Japanese, Korean, Spanish, and more — with accent-aware precision.
  • 🗣️ Clear articulation: crisp and natural delivery, free from robotic noise or digital distortion.
  • 🎚️ Adjustable parameters: control speed, volume, and pitch to match your desired energy and mood.
  • 👥 Multiple voice options: choose from a diverse library of professional male, female, and regional voices.
  • ⚡ Real-time streaming capabilities: generate and play audio as it’s being synthesized, enabling low-latency experiences for live applications.

⚙️ Limits and Performance

  • 🧾 Max input length: up to 10,000 characters per request
  • ⚡ Processing speed: around 1–2 seconds of real time per second of audio
  • 🎧 Output format: MP3 or WAV
  • 🌐 Languages: English, Chinese, Japanese, Korean, Spanish, and more

For the full multilingual voice list, see this document.

💰 Pricing

Your request will cost $0.05 per 1000 characters.

🚀 How to Use

  1. ✍️ Enter or upload your text (≤10,000 characters).
  2. 🧠 Choose your voice ID and language_boost.
  3. 🎚️ Adjust speed, volume, and pitch if needed.
  4. ▶️ Click Generate Audio — preview or download your file in MP3/WAV/PCM/FLAC, or use streaming mode for instant real-time playback.

💡 Pro Tips for Best Quality

  • Use short sentences for smoother rhythm.
  • For narration, try a slightly slower speed and lower pitch.
  • Include punctuation — it helps the voice breathe naturally.
  • Choose HD voices for podcasts, ads, or commercial projects.
  • Use streaming mode for interactive or live-response scenarios.

📝 Notes

  • The generation time will also depends on the selections you choose, like bitrate and channel.
  • You can also find some guidance in this article: Build your digital human.
Uwaga:Ta strona korzysta z modeli AI udostępnianych przez podmioty trzecie.

Speech 02 Hd API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/speech-02-hd 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 Speech 02 Hd below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "text": "A clear example input",
    "voice_id": "Wise_Woman",
    "speed": 1,
    "volume": 1,
    "pitch": 0,
    "emotion": "happy",
    "english_normalization": false,
    "sample_rate": 8000,
    "bitrate": 32000,
    "channel": "1",
    "format": "mp3",
    "language_boost": "Chinese"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/minimax/speech-02-hd" \
  -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/minimax/speech-02-hd";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "text": "A clear example input",
        "voice_id": "Wise_Woman",
        "speed": 1,
        "volume": 1,
        "pitch": 0,
        "emotion": "happy",
        "english_normalization": false,
        "sample_rate": 8000,
        "bitrate": 32000,
        "channel": "1",
        "format": "mp3",
        "language_boost": "Chinese"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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 = {
    "text": "A clear example input",
    "voice_id": "Wise_Woman",
    "speed": 1,
    "volume": 1,
    "pitch": 0,
    "emotion": "happy",
    "english_normalization": False,
    "sample_rate": 8000,
    "bitrate": 32000,
    "channel": "1",
    "format": "mp3",
    "language_boost": "Chinese"
}

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/minimax/speech-02-hd", 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)

Speech 02 Hd API — Frequently asked questions

What is the Speech 02 Hd API?

Speech 02 Hd is a MiniMax model for audio generation, exposed as a REST API on WaveSpeedAI. Minimax Speech 02 HD is Minimax's high-definition text-to-speech model delivering clear HD voices; pricing $0.05 per 1,000 characters. 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 Speech 02 Hd 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/minimax/minimax-speech-02-hd.

How much does Speech 02 Hd cost per run?

Speech 02 Hd starts at $0.050 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 Speech 02 Hd accept?

Key inputs: `bitrate`, `channel`, `emotion`, `enable_sync_mode`, `english_normalization`, `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/minimax/minimax-speech-02-hd.

How long does Speech 02 Hd take to generate?

Average end-to-end generation time on WaveSpeedAI is around 5 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Speech 02 Hd outputs commercially?

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

Speech 02 HD | Realistic Voice & TTS API | WaveSpeedAI