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

OpenAI Whisper Turbo is a fast, accurate speech-to-text transcription model powered by OpenAI’s Whisper architecture. It converts audio into clean, readable text with support for multiple languages — ideal for transcription, subtitling, and voice-driven workflows.

Why It Stands Out

High-speed transcription: Optimized for fast processing without sacrificing accuracy.
Multilingual support: Transcribe audio in dozens of languages with automatic language detection.
Prompt-guided transcription: Steer output 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

Parameter	Required	Description
audio	Yes	Upload or link to an audio file (MP3 / WAV / M4A, etc.).
language	No	Language code for transcription; leave empty for auto-detection.
prompt	No	Short guidance text to steer transcription style or terminology.
enable_sync_mode	No	Wait for result before returning response (API only).

How to Use

Upload your audio — drag and drop a file or paste a public URL.
Select language (optional) — choose a specific language or let the model auto-detect.
Add a prompt (optional) — guide formatting, punctuation, or specific terminology.
Click Run and wait for transcription to complete.
Copy or download the transcribed text.

Best Use Cases

Meeting Transcription — Convert recorded meetings, interviews, and calls into searchable text.
Subtitle Generation — Create accurate transcripts for video subtitling workflows.
Content Repurposing — Turn podcasts, webinars, and lectures into written content.
Voice Notes — Quickly transcribe voice memos and audio notes.
Accessibility — Generate transcripts to make audio content accessible.

Pricing

Metric	Price
Per second of audio	$0.0007 / s

Total cost = duration of audio (in seconds) × $0.0007

Examples

60s audio → 60 × $0.0007 = $0.042
5 min (300s) audio → 300 × $0.0007 = $0.21
30 min (1800s) audio → 1800 × $0.0007 = $1.26

Pro Tips for Best Quality

Use clear audio with minimal background noise for optimal accuracy.
Specify the language if auto-detection is inconsistent.
Add a prompt to guide transcription — include names, jargon, or formatting preferences.
For long recordings, consider splitting into smaller segments for faster processing.

Notes

Ensure uploaded audio URLs are publicly accessible.
Processing time varies based on audio duration and current queue load.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# 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",
    "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}"

Parameters

Task Submission Parameters

Request Parameters

Parameter	Type	Required	Default	Range	Description
audio	string	Yes	-	-	Audio file to transcribe. Provide an HTTPS URL or upload a file (MP3, WAV, FLAC up to 60 minutes).
language	string	No	auto	auto, af, am, ar, as, az, ba, be, bg, bn, bo, br, bs, ca, cs, cy, da, de, el, en, es, et, eu, fa, fi, fo, fr, gl, gu, ha, haw, he, hi, hr, ht, hu, hy, id, is, it, ja, jw, ka, kk, km, kn, ko, la, lb, ln, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, nn, no, oc, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, sn, so, sq, sr, su, sv, sw, ta, te, tg, th, tk, tl, tr, tt, uk, ur, uz, vi, yi, yo, zh, yue	Language spoken in the audio. Set to 'auto' for automatic language detection (default).
prompt	string	No		-	An optional text to provide as a prompt to guide the model's style or continue a previous audio segment. The prompt should be in the same language as the audio.
enable_sync_mode	boolean	No	true	-	If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Request Parameters

Parameter	Type	Required	Default	Description
id	string	Yes	-	Task ID

Result Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data	object	The prediction data object containing all details
data.id	string	Unique identifier for the prediction, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	string	Object containing URLs to the generated content (empty when status is not completed).
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

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