Speech To TextHeartmula

ai/heartmula/transcribe-lyrics

heartmula/transcribe-lyrics

heartmula/transcribe-lyrics. เลือกดู API โมเดลภาพ วิดีโอ และสลับใบหน้า ทดลองโมเดลแล้วเชื่อมต่อผ่าน REST API แบบรวมศูนย์

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ai/heartmula/transcribe-lyrics โมเดลที่เกี่ยวข้อง 1

พารามิเตอร์ทั้งหมด โครงสร้างผลลัพธ์ และราคาปัจจุบัน

ตลาด API โมเดล AIแพลตฟอร์มเดียว ครบทุกอย่างยอดนิยมที่สุดข้อกำหนดเลือกดู API โมเดลภาพ วิดีโอ และสลับใบหน้า ทดลองโมเดลแล้วเชื่อมต่อผ่าน REST API แบบรวมศูนย์
audio *Audioaudio_upload—audio/*

พารามิเตอร์ทั้งหมด โครงสร้างผลลัพธ์ และราคาปัจจุบัน

เรียนรู้เพิ่มเติมแพลตฟอร์มเดียว ครบทุกอย่างเลือกดู API โมเดลภาพ วิดีโอ และสลับใบหน้า ทดลองโมเดลแล้วเชื่อมต่อผ่าน REST API แบบรวมศูนย์
outputsarray<object>

API

เลือกดู API โมเดลภาพ วิดีโอ และสลับใบหน้า ทดลองโมเดลแล้วเชื่อมต่อผ่าน REST API แบบรวมศูนย์

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/heartmula/transcribe-lyrics" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "audio": "https://d5v2vcqcwe9y5.cloudfront.net/algorithm/video_translate/260327/default/qtqfcgymg08o.wav"
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"
Python
import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/heartmula/transcribe-lyrics",
    headers=HEADERS,
    json={
        "input": {
            "audio": "https://d5v2vcqcwe9y5.cloudfront.net/algorithm/video_translate/260327/default/qtqfcgymg08o.wav"
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))
JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/heartmula/transcribe-lyrics", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "audio": "https://d5v2vcqcwe9y5.cloudfront.net/algorithm/video_translate/260327/default/qtqfcgymg08o.wav"
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);

เอกสาร API

ai/heartmula/transcribe-lyrics

Fast, multilingual lyric transcription with no cold starts and affordable per-run pricing.

ai/heartmula/transcribe-lyrics is an AI model designed to extract lyrics from audio files with a focus on speed, reliability, and cost efficiency. It supports multilingual transcription and is well suited for production workflows that require consistent performance and ready-to-use lyric extraction.

🚀 Key Features

  • Lyric-focused transcription: Built specifically for extracting sung lyrics from audio, making it a strong fit for music-centric workflows.
  • Multilingual support: Handles multilingual audio content for broader catalog coverage and international use cases.
  • No cold start: Delivers more consistent responsiveness for real-time and high-volume production environments.
  • Simple audio input: Accepts an audio URL, making it easy to plug into existing media pipelines.
  • Affordable pricing: Low per-run cost makes it practical for batch processing and large-scale lyric indexing.

🛠️ Technical Specifications

ItemDetails
Model architectureAI lyric transcription model
Task typeAudio-to-text(lyric extraction)
InputAudio URL
Input formatString(audio)
OutputTranscribed lyrics text
Language supportMultilingual
LatencyOptimized for online inference with no cold starts
Deployment profileProduction-ready performance

Sample Prompts

Note: This model primarily operates on audio input rather than Prompt-based control. The examples below illustrate common task intents.

  • Extract the full lyrics from this song audio.
  • Transcribe the lyrics from this multilingual music track.
  • Identify the sung content in this audio file and return readable lyrics text.

💰 Pricing

ItemPrice
Base Price$0.05

💡 Best Use Cases

  • Music platforms: Generate lyrics for song catalogs to improve discovery, display, and metadata quality.
  • UGC and short-form media: Extract lyrics from music-backed content for subtitles, tagging, or search.
  • Media archiving: Convert recorded performances and legacy audio assets into structured lyric text.
  • Multilingual content operations: Support lyric transcription across languages for global media workflows.