VEED Dubbing Standard Video Dubbing API

veed/dubbing

VEED Dubbing Standard translates videos across 86 languages with cloned voices and synchronized lip movements, making it suitable for multilingual localization, global marketing, training, social content, and professional dubbing workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Dubbing
Input

Drag & drop or click to upload

Idle

$0.12per run·~83 / $10

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Related Models

README

VEED Dubbing

VEED Dubbing translates spoken content in a video, recreates the translated speech in the speaker's voice, and synchronizes lip movements with the new dialogue.

Why Choose This?

  • 86 languages — Translate speech into a wide range of target languages.
  • Voice preservation — Retain the original speaker's vocal character in the translated speech.
  • Lip synchronization — Match visible mouth movements to the translated dialogue.
  • Terminology guidance — Add key names and terms to improve recognition and consistency.
  • Simple localization workflow — Upload a video, choose a language, and generate the dubbed result.

Parameters

ParameterRequiredDescription
videoYesVideo to translate and dub. The video must contain audible speech.
target_languageYesTarget language for the translated speech.
source_languageNoLanguage spoken in the source video. Default: auto.
keytermsNoUp to 10 names or terms to help speech recognition and terminology preservation.

How to Use

  1. Upload a video — Provide a video with clear, audible speech.
  2. Choose the target language — Select the language for the translated dialogue.
  3. Set source language optional — Leave it on auto or choose the spoken language manually.
  4. Add keyterms optional — Include important names or terminology when needed.
  5. Submit — Generate and retrieve the dubbed video.

Pricing

$0.12 per billed second of input video.

Video DurationPrice
10s$1.20
30s$3.60
60s$7.20

Input duration is rounded up to the next whole second for billing.

Language selection and keyterms do not add separate charges.

Best Use Cases

  • Training and educational videos — Localize lessons and instructional content.
  • Creator content — Translate spoken videos for multilingual audiences.
  • Product demonstrations — Dub product walkthroughs and presentations.
  • Marketing videos — Adapt campaign content for different languages.
  • Business presentations — Create localized versions of internal or external communications.

Pro Tips

  • Use videos with clear speech and minimal background noise.
  • Keep faces well lit and clearly visible for better lip synchronization.
  • Specify the source language when automatic detection may be uncertain.
  • Add important names, brands, and technical terms as keyterms.
  • Review translated speech and terminology before publishing.

Notes

  • Input videos must be no longer than 10 minutes.
  • The source video must contain audible speech.
  • Select a supported base language. Separate regional accents are not available.
  • Up to 10 keyterms are supported.
  • Each keyterm can contain up to 50 characters and 5 words.
  • Keyterms must not contain <, >, {, }, [, ], or backslashes.
  • Keyterms guide speech recognition and terminology preservation; they are not source-to-translation pairs.

Related Models

  • VEED Dubbing Standard — Translate and dub videos with voice preservation and lip synchronization.
  • VEED Dubbing Pro — Use the Pro dubbing workflow for higher-end video localization.
Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Dubbing API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/veed/dubbing with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Dubbing below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "target_language": "af",
    "source_language": "auto"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/veed/dubbing" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/veed/dubbing";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "target_language": "af",
        "source_language": "auto"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "target_language": "af",
    "source_language": "auto"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/veed/dubbing", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Dubbing API — Frequently asked questions

What is the Dubbing API?

Dubbing is a Veed model for AI inference, exposed as a REST API on WaveSpeedAI. VEED Dubbing Standard translates videos across 86 languages with cloned voices and synchronized lip movements, making it suitable for multilingual localization, global marketing, training, social content, and professional dubbing workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Dubbing 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/veed/veed-dubbing.

How much does Dubbing cost per run or per second?

Dubbing starts at $0.12 per run or per second. 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 Dubbing accept?

Key inputs: `video`, `keyterms`, `source_language`, `target_language`. 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/veed/veed-dubbing.

How do I get started with the Dubbing API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Dubbing outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Veed). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

llms.txt — veed/dubbing for AI agents and LLMs