How to Dub Videos at Scale with ElevenLabs Dubbing API
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How to Dub Videos at Scale with ElevenLabs Dubbing API
How does ElevenLabs dubbing API work for videos? The Dubbing API lets you upload a video or audio file, specify source and target languages, and receive a professionally dubbed version — preserving voice characteristics, timing, and emotional delivery.
What Is the ElevenLabs Dubbing API?
Unlike traditional dubbing that requires voice actors, studios, and weeks of production, ElevenLabs Dubbing API automates the entire pipeline: speech recognition → translation → voice cloning → time-synchronized audio generation. All in a single API call.
How It Works (Pipeline)
- Upload — Send your video/audio file to the API
- Transcription — Automatic speech recognition extracts the transcript
- Translation — Text is translated to your target language(s)
- Voice Preservation — The original speaker’s voice is cloned and used for dubbing
- Time Alignment — Generated speech is synchronized to original video timing
- Output — Receive the dubbed video with original audio replaced
API Endpoint Overview
POST https://api.elevenlabs.io/v1/dubbing
GET https://api.elevenlabs.io/v1/dubbing/{dubbing_id} (check status)
GET https://api.elevenlabs.io/v1/dubbing/{dubbing_id}/audio (download)
Step-by-Step: Dubbing a Video with Python
1. Submit the Dubbing Job
import requests
api_key = "YOUR_API_KEY"
headers = {"xi-api-key": api_key}
# Upload a video file for dubbing
with open("my_video.mp4", "rb") as f:
response = requests.post(
"https://api.elevenlabs.io/v1/dubbing",
headers=headers,
files={"file": f},
data={
"source_lang": "en",
"target_lang": "es", # Spanish
"mode": "automatic",
"num_speakers": 2,
}
)
dubbing_id = response.json()["dubbing_id"]
print(f"Dubbing job submitted. ID: {dubbing_id}")
2. Poll for Completion
import time
def wait_for_dubbing(dubbing_id):
while True:
status_resp = requests.get(
f"https://api.elevenlabs.io/v1/dubbing/{dubbing_id}",
headers=headers
)
status = status_resp.json()
if status["status"] == "done":
print("Dubbing complete!")
return True
elif status["status"] == "error":
print(f"Error: {status.get('error', 'Unknown')}")
return False
print(f"Progress: {status.get('progress', 'processing')}")
time.sleep (5)
3. Download the Dubbed Video
def download_dubbed(dubbing_id, output_path="dubbed_video.mp4"):
url = f"https://api.elevenlabs.io/v1/dubbing/{dubbing_id}/audio"
resp = requests.get(url, headers=headers)
with open(output_path, "wb") as f:
f.write(resp.content)
print(f"Downloaded: {output_path}")
return output_path
Supported Languages
| Source Languages | Target Languages |
|---|---|
| English | Spanish, French, German |
| Spanish | Italian, Portuguese, Japanese |
| French | Chinese (Simplified), Korean |
| German | Arabic, Hindi, Russian |
| More added regularly | 29+ languages total |
Dubbing at Scale: Batch Processing
import os
from concurrent.futures import ThreadPoolExecutor
def dub_video(video_path, target_lang):
with open(video_path, "rb") as f:
resp = requests.post(
"https://api.elevenlabs.io/v1/dubbing",
headers=headers,
files={"file": f},
data={
"source_lang": "en",
"target_lang": target_lang,
}
)
dubbing_id = resp.json()["dubbing_id"]
return {"video": video_path, "lang": target_lang, "id": dubbing_id}
# Dub one video into 5 languages simultaneously
videos = ["tutorial_1.mp4", "tutorial_2.mp4"]
languages = ["es", "fr", "de", "ja", "zh"]
with ThreadPoolExecutor(max_workers=5) as executor:
for video in videos:
for lang in languages:
executor.submit(dub_video, video, lang)
Use Cases
YouTube Content Creators
Reach international audiences by dubbing every video into 5-10 languages. One upload, global reach.
Online Courses & E-Learning
Dub your course content once and offer it in every major language. No need to re-record with native speakers.
Corporate Training
Internal training videos can be dubbed for global teams in hours instead of weeks.
Film & Documentary
Independent filmmakers can dub their work for international film festivals and distribution.
Marketing & Ads
Dub promotional videos for different regional markets while maintaining brand voice consistency.
Quality Tips
- Clean audio helps — videos with clear speech, minimal background noise dub better
- Specify speaker count — helps the model assign voices correctly
- Review before publishing — always check lip-sync and translation accuracy
- Use manual mode — for critical content, review and edit translations before final dubbing
FAQ: ElevenLabs Dubbing API
How long does dubbing take?
A 10-minute video typically processes in 2-5 minutes. Longer videos scale proportionally.
Does it preserve background music?
Yes — the API preserves original background audio and only replaces spoken dialogue.
Can I dub multiple speakers?
Yes, the API detects and preserves multiple speakers, assigning a distinct voice to each.
What video formats are supported?
MP4, MOV, AVI, and most common formats. Audio-only files (MP3, WAV) are also supported.
Ready to dub your content globally? Try ElevenLabs Dubbing API →
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