Openai Whisper With Video | AI Speech-to-Text API

{ "text": "Distinguished guests and dear friends, good evening. Time flies, and here we are tonight, gathered together for this wonderful celebration. Thank you all for being here. Your presence truly makes this evening shine. Tonight, let's set aside our daily routines and embrace the joy and warmth around us. May the laughter, music, and memories we create become treasures we carry in our hearts. A magical and unforgettable night ahead." }

OpenAI Whisper (Large-v3) — Video-to-Text

OpenAI Whisper — Video-to-Text is a production-ready speech recognition endpoint powered by Whisper large-v3. It transcribes or translates speech directly from video files by extracting audio and returning clean, readable text, with optional word-level timestamps for subtitle and alignment workflows.

Built for stable production use with a ready-to-use REST API, no cold starts, and predictable pay-per-second pricing.

Key capabilities

Video input support (audio is extracted automatically)
Two tasks: transcribe and translate
Language selection: auto detection or manual language code
Optional word-level timestamps via enable_timestamps
Optional sync response via enable_sync_mode (API only)

Parameters

Parameter	Required	Description
video	Yes	Input video (upload or public URL).
language	No	Language code or auto (default).
task	No	transcribe or translate.
enable_timestamps	No	Generate word-level timestamps (may increase processing time).
prompt	No	Short guidance text to steer transcription/translation style.
enable_sync_mode	No	API only: wait for result and return it directly in the response.

How to use

Upload video (or paste a public video URL).
Set language:

Use auto for most cases.
Choose a specific language code if detection is unstable.

Choose task:

transcribe for same-language transcription
translate for translated output

(Optional) Enable enable_timestamps if you need subtitle timing/alignment.
(Optional) Add a prompt to guide formatting or terminology (names, jargon, punctuation).
Run and read the transcript output.

API note: enable_sync_mode is not shown as a normal UI option; it’s only available through the API.

Pricing

Mode	enable_timestamps	Price per second
Standard	false	$0.001 / s
Timestamped	true	$0.002 / s

Examples

Video length	Standard	Timestamped
60s	$0.06	$0.12
600s (10 min)	$0.60	$1.20

Notes

If you use a URL, it must be publicly accessible; the UI showing a preview thumbnail is a good sanity check.
Timestamps are best for subtitles and editing, but may take longer to process.
For best accuracy, use clear speech and minimize background music/noise.

More Models to Try

OpenAI Whisper Turbo on WaveSpeedAI — Faster, cost-efficient speech-to-text for real-time or high-volume transcription pipelines while keeping strong multilingual recognition quality.

Openai Whisper With Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/openai-whisper-with-video with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Openai Whisper With Video below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/openai-whisper-with-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "video": "https://example.com/your-input.mp4",
    "language": "auto",
    "task": "transcribe",
    "enable_timestamps": false,
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "enable_sync_mode": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/openai-whisper-with-video", {
        "video": "https://example.com/your-input.mp4",
        "language": "auto",
        "task": "transcribe",
        "enable_timestamps": false,
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "enable_sync_mode": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/openai-whisper-with-video",
    {
    "video": "https://example.com/your-input.mp4",
    "language": "auto",
    "task": "transcribe",
    "enable_timestamps": false,
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "enable_sync_mode": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Openai Whisper With Video API — Frequently asked questions

What is the Openai Whisper With Video API?

Openai Whisper With Video is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. OpenAI Whisper Large v3 (Video-to-Text) delivers high-accuracy multilingual transcription directly from video files, with automatic language detection and optional timestamped, subtitle-ready segments. Built for stable production use with a ready-to-use REST API, fast response, no cold starts, and predictable pricing. You can call it programmatically or try it from the playground above.

How do I call the Openai Whisper With Video 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/openai-whisper-with-video.

How much does Openai Whisper With Video cost per run?

Openai Whisper With Video starts at $0.001 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 Openai Whisper With Video accept?

Key inputs: `prompt`, `video`, `enable_sync_mode`, `enable_timestamps`, `language`, `task`. 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/wavespeed-ai/openai-whisper-with-video.

How long does Openai Whisper With Video take to generate?

Average end-to-end generation time on WaveSpeedAI is around 3 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Openai Whisper With Video outputs commercially?

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

ExamplesView all

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