Openai Whisper Turbo

Openai Whisper Turbo

Playground

Accurate speech-to-text with OpenAI Whisper Large v3 Turbo: multilingual transcripts with auto language detection and punctuation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

OpenAI Whisper Turbo — Speech-to-Text

WaveSpeedAI’s Whisper deployment offers production-grade speech recognition built on OpenAI’s large-v3-turbo model. It transcribes audio into accurate text with multilingual support, noise robustness, and fast GPU inference.

⚡ Key Features

• 50+ Languages Supported — including English, Chinese, Spanish, French, Arabic, Japanese, Korean, and more.
• Automatic Language Detection — no need to specify the input language manually.
• Context-Aware Transcription — understands sentence boundaries and speech flow naturally.
• Accurate Punctuation & Capitalization — generates clean, readable text automatically.
• Noise-Tolerant Recognition — performs well even in real-world, imperfect audio environments.

🎧 Supported Formats

• Audio: MP3, WAV, M4A, FLAC
• Maximum duration per file: Up to 1 hour recommended
• Bitrate: ≥ 32 kbps for optimal accuracy

💰 Pricing

Just $0.0007 per second !!!

🚀 Quick Start

1. Upload your audio (e.g., .mp3, .wav, .flac) or provide a direct HTTPS URL.
2. Optionally specify language or leave as Auto for automatic detection.
3. Add a prompt (optional) to guide the transcription style or context.
4. Submit the request and get your transcription in seconds.

Example JSON Output:

{
  "outputs": {
    "text": "Hello everyone, welcome to the show."
  }
}

💡 Notes

• For long-form transcription, split large audio into segments under 10 minutes for best performance.
• The Auto language setting is recommended for multilingual datasets.
• You can use prompts to adapt tone, style, or contextual vocabulary (e.g., medical, legal).
• Whisper automatically handles noise, accents, and varied speech speed gracefully.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/openai-whisper" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "language": "Auto",
    "prompt": "",
    "enable_sync_mode": true
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"