# 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.

## Overview

- **Endpoint**: `https://api.wavespeed.ai/api/v3/veed/dubbing`
- **Polling/result URL**: `https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result`
- **Model ID**: `veed/dubbing`
- **Category**: video-dubbing

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
The API is asynchronous: submit a prediction, then poll its result URL until it completes.

### Input Schema

The API accepts the following input parameters:

- **`video`** (`string`, _required_):
  Video to translate and dub, up to 10 minutes, with speech in its audio track.

- **`target_language`** (`string`, _required_):
  Language to dub into. This model has no regional dialects: a regional tag such as 'fr-FR' is accepted and dubbed in the base language ('fr').
  - Options: "af", "ar", "as", "ast", "az", "be", "bg", "bn", "bs", "ca", "ceb", "cs", "cy", "da", "de", "el", "en", "es", "et", "fa", "fi", "fil", "fr", "ga", "gl", "gu", "ha", "he", "hi", "hr", "hu", "hy", "id", "is", "it", "ja", "jv", "ka", "kk", "kn", "ko", "ky", "lb", "ln", "lt", "lv", "mi", "mk", "ml", "mn", "mr", "ms", "mt", "my", "ne", "nl", "no", "ny", "oc", "or", "pa", "pl", "ps", "pt", "ro", "ru", "sd", "sk", "sl", "so", "sr", "sv", "sw", "ta", "te", "tg", "th", "tl", "tr", "uk", "ur", "uz", "vi", "yo", "yue", "zh"

- **`source_language`** (`string`, _optional_):
  Language spoken in the video. 'auto' (the default) detects it; set it explicitly if detection picks the wrong language.
  - Default: `"auto"`
  - Options: "auto", "af", "ar", "as", "ast", "az", "be", "bg", "bn", "bs", "ca", "ceb", "cs", "cy", "da", "de", "el", "en", "es", "et", "fa", "fi", "fil", "fr", "ga", "gl", "gu", "ha", "he", "hi", "hr", "hu", "hy", "id", "is", "it", "ja", "jv", "ka", "kk", "kn", "ko", "ky", "lb", "ln", "lt", "lv", "mi", "mk", "ml", "mn", "mr", "ms", "mt", "my", "ne", "nl", "no", "ny", "oc", "or", "pa", "pl", "ps", "pt", "ro", "ru", "sd", "sk", "sl", "so", "sr", "sv", "sw", "ta", "te", "tg", "th", "tl", "tr", "uk", "ur", "uz", "vi", "yo", "yue", "zh"

- **`keyterms`** (`array of string`, _optional_):
  Optional names and terms to preserve. Up to 10 terms, each at most 50 characters and 5 words. See Notes for character restrictions.



**Required Parameters Example**:

```json
{
  "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
  "target_language": "af"
}
```

**Full Example**:

```json
{
  "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
  "target_language": "af",
  "source_language": "auto",
  "keyterms": []
}
```

### Result Data Schema

The `data` object returned by the API has the following fields:

- **`created_at`** (`string (date-time)`, _optional_):
  ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction, the ID of the prediction to get.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array of string | object`, _optional_):
  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.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example `data` Object**:

```json
{
  "created_at": "example",
  "id": "example",
  "model": "example",
  "outputs": [],
  "status": "example",
  "urls": {}
}
```

## Usage Examples

The examples use `jq` to read JSON. Set your API key first:

```bash
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
```

### 1. Submit a prediction

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

SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  --request POST \
  --url https://api.wavespeed.ai/api/v3/veed/dubbing \
  --header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  --header "Content-Type: application/json" \
  --data "${REQUEST_BODY}")

printf '%s\n' "${SUBMIT_RESPONSE}" | jq .
```

The response contains the prediction ID in `data.id`.

### 2. Poll until complete and read `outputs`

```bash
PREDICTION_ID=$(printf '%s' "${SUBMIT_RESPONSE}" | jq -r '.data.id')
if [ -z "${PREDICTION_ID}" ] || [ "${PREDICTION_ID}" = "null" ]; then
  printf 'Submission response did not contain data.id\n' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    --request GET \
    --url "${RESULT_URL}" \
    --header "Authorization: Bearer ${WAVESPEED_API_KEY}")

  RESULT=$(printf '%s' "${RESPONSE}" | jq -e '.data')
  STATUS=$(printf '%s' "${RESULT}" | jq -er '.status')
  case "${STATUS}" in
    completed)
      # Generated files are returned in the outputs array.
      printf '%s\n' "${RESULT}" | jq '.outputs'
      break
      ;;
    failed|cancelled|timeout|deleted)
      printf '%s\n' "${RESULT}" | jq '{status, error, code}'
      exit 1
      ;;
    *)
      sleep 2
      ;;
  esac
done
```

## Additional Resources

### Documentation

- [Model Playground](https://wavespeed.ai/models/veed/dubbing)
- [API Documentation](https://wavespeed.ai/docs/docs-api/veed/veed-dubbing)