Openai Whisper

Openai Whisper

Playground

Whisper Large v3 speech-to-text: instant, accurate multilingual transcripts with automatic language detection and punctuation. Upload audio to get transcripts. Ready-to-use REST API, no coldstarts, affordable pricing.

Features

OpenAI Whisper (Large-v3)

OpenAI Whisper (Large-v3) is a production-ready speech recognition model that transcribes or translates audio into clean, readable text. With support for dozens of languages, optional word-level timestamps, and flexible task modes — it’s ideal for subtitling, transcription, and multilingual workflows.

Why It Stands Out

• Transcribe or translate: Choose between same-language transcription or translation to English.
• Multilingual support: Transcribe audio in dozens of languages with automatic language detection.
• Word-level timestamps: Generate precise timing data for subtitle alignment and editing workflows.
• Prompt-guided output: Steer formatting, terminology, or punctuation with custom prompts.
• Prompt Enhancer: Built-in AI-powered prompt optimization for better transcription guidance.
• Flexible input: Supports direct audio upload or public URL.

Parameters

How to Use

1. Upload your audio — drag and drop a file or paste a public URL.
2. Select language — choose a specific language or use “auto” for detection.
3. Choose task — select “transcribe” for same-language output or “translate” for English.
4. Enable timestamps (optional) — turn on for word-level timing data.
5. Add a prompt (optional) — guide formatting, punctuation, or specific terminology.
6. Click Run and wait for transcription to complete.
7. Copy or download the transcribed text.

Best Use Cases

• Subtitle Generation — Create accurate, timed transcripts for video subtitling.
• Meeting Transcription — Convert recorded meetings, interviews, and calls into searchable text.
• Translation Workflows — Translate foreign-language audio directly to English text.
• Content Repurposing — Turn podcasts, webinars, and lectures into written content.
• Accessibility — Generate transcripts to make audio content accessible.

Pricing

Total cost = duration of audio (in seconds) × price per second

Examples

• 60s audio (standard) → 60 × $0.001 = $0.06
• 60s audio (with timestamps) → 60 × $0.002 = $0.12
• 10 min (600s) audio (standard) → 600 × $0.001 = $0.60
• 10 min (600s) audio (with timestamps) → 600 × $0.002 = $1.20

Pro Tips for Best Quality

• Use clear audio with minimal background noise for optimal accuracy.
• Specify the language manually if auto-detection is inconsistent.
• Enable timestamps only when needed for subtitles or alignment — it doubles the cost.
• Add a prompt to guide transcription — include names, jargon, or formatting preferences.
• Use “translate” task for non-English audio when you need English output.

Notes

• Ensure uploaded audio URLs are publicly accessible.
• Timestamps are best for subtitles and editing, but may take longer to process.
• Processing time varies based on audio duration and current queue load.

# 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",
    "task": "transcribe",
    "enable_timestamps": false,
    "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}"