Elevenlabs Dubbing
Playground
Try it on WaveSpeedAI!ElevenLabs Dubbing automatically translates and dubs video/audio content into different languages while preserving the original speakers’ voices. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
ElevenLabs Dubbing automatically translates and dubs video or audio content into different languages. Upload your content, select target language — the model transcribes, translates, and generates natural-sounding speech in the target language while preserving the original voice characteristics and timing.
REST inference API, best performance, no cold starts, affordable pricing.
Why Choose This?
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Automatic translation and dubbing End-to-end pipeline: transcription → translation → voice synthesis in one step.
-
Voice preservation Maintains the original speaker’s voice characteristics in the dubbed output.
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Multi-language support Supports English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, and more.
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Auto language detection Automatically detects the source language, or manually specify for better accuracy.
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Video and audio support Works with both video files and audio-only content.
Parameters
| Parameter | Required | Description |
|---|---|---|
| video | No | Source video file to dub (upload or URL) |
| audio | No | Source audio file to dub (upload or URL) |
| target_lang | Yes | Target language for dubbing |
| source_lang | No | Source language (default: Auto for automatic detection) |
Note: Either video or audio is required (upload one of them).
Supported Languages
- English
- Spanish
- French
- German
- Italian
- Portuguese
- Chinese
- Japanese
- Korean
How to Use
- Upload your content — video or audio file (choose one).
- Select target language — the language you want the content dubbed into.
- Select source language (optional) — choose Auto for automatic detection, or specify manually.
- Run — submit and download the dubbed content.
Pricing
Pricing is based on the total duration, rounded up to the next full minute.
| Duration | Cost |
|---|---|
| Per billed minute | $0.90 |
Billing Rules
- Billed duration is rounded up to the next full minute
- Minimum billed duration is 1 minute
- Pricing is based on the combined duration of the input
videoandaudio
Best Use Cases
- Content Localization — Translate videos and podcasts for international audiences.
- Marketing — Dub promotional content into multiple languages.
- Education — Make educational content accessible in different languages.
- Social Media — Reach global audiences with multilingual video content.
- Corporate Communications — Translate internal videos and training materials.
Pro Tips
- Use clean, high-quality source audio for best dubbing results.
- Specify source language manually if auto-detection is inaccurate.
- Shorter clips process faster — split long content for parallel processing.
- Content with clear speech and minimal background noise produces better results.
Notes
- Either video or audio is required — upload one of them.
- If both video and audio are provided, the model will process video only.
- For longer content, split into segments and process separately.
Related Models
- ElevenLabs Voice Changer — Transform audio into speech with a different voice.
- ElevenLabs Text-to-Speech — Generate speech from text with natural-sounding voices.
- OpenAI Whisper — Transcribe audio to text with high accuracy.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"target_lang": "English",
"source_lang": "Auto"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/elevenlabs/dubbing" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| target_lang | string | Yes | - | English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Russian, Arabic, Hindi, Dutch, Polish, Turkish, Vietnamese, Thai, Indonesian | Target language for dubbing |
| video | string | No | - | URL of the video file to dub. Either video or audio must be provided. If both are provided, video takes priority. | |
| audio | string | No | - | - | URL of the audio file to dub. Either video or audio must be provided. |
| source_lang | string | No | Auto | Auto, English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Russian, Arabic, Hindi, Dutch, Polish, Turkish, Vietnamese, Thai, Indonesian | Source language. Select 'Auto' for automatic detection. |
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 | Output values, usually URL strings; some models return text strings or structured result objects (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 |
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 |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |