Dubbing logo

Dubbing

Organization
elevenlabs
dubbing

Dub audio and video into other languages using the ElevenLabs Dubbing API (dubbing_v2), preserving the original speakers' voices. Use when translating videos, podcasts, or recordings into other languages, localizing media content, reviewing or correcting dubbing transcripts and translations, or regenerating a dub after edits.

Overview

Publisherelevenlabs
Repositoryskills
Skill namedubbing
Stars
462
Forks
75
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by elevenlabs on GitHub. Read the source before you install it.

Installation

Install the Dubbing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/elevenlabs/skills/tree/main/dubbing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/elevenlabs/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/dubbing .claude/skills/dubbing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dubbing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dubbing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dubbing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ElevenLabs Dubbing

Dub audio or video into other languages while preserving the original speakers' voices. Create a project from a file or URL, review and edit the source transcript, add one or more target languages, refine translations per segment, and regenerate outputs.

Important: Use the Dubbing Projects API — elevenlabs.dubbing.project.* in the SDKs, or the /v1/dubbing/project REST endpoints. Do not use the legacy v1 dubbing surface (client.dubbing.create(), client.dubbing.get(), client.dubbing.audio.get(), or bare /v1/dubbing routes) — that is the older dubbing API, now under Legacy in the API reference.

Setup: See Installation Guide. The elevenlabs CLI and the SDKs read ELEVENLABS_API_KEY automatically; REST base URL is https://api.elevenlabs.io with your API key in the xi-api-key header.

Concepts

ConceptMeaning
ProjectOne source of media (file or URL) plus its source transcript. Prepared (transcribed) once, then rests in ready while you add languages.
Source transcriptEditable segments (text, speaker, timing) transcribed from the source. The single source of truth every language is translated from.
Language (target)One dubbed output language. Each has its own transcript (source segments + a translation per segment) and its own dubbed audio output.
RevisionsIndependent monotonic counters. The project's revision bumps on source-transcript edits; a language's revision bumps on translation edits or source edits that affect it. A language's output_revision is the revision its current audio was generated from — when it's behind revision, the output is out of date.

Recommended order of operations: finalize the source transcript before adding any languages. Translations are produced from the source, so correcting the source first means every language starts from the right text — editing the source after a language completes marks it stale and requires a (charged) regeneration.

Enterprise: Transcript editing and regeneration are available to enterprise workspaces only. Creating projects, adding languages, and downloading dubs work on all plans.

Workflow

  1. Create the project from a file or URL → queued
  2. Poll the project until ready
  3. Review and finalize the source transcript (edit/add/delete segments)
  4. Add one language per target → queued → processing → completed
  5. Download each language's outputs.lossless_audio when completed
  6. Refine translations per segment if needed → the language goes stale
  7. Regenerate the language → completed again with fresh output

Quick Start (Python)

python
import os
import time
import requests
from elevenlabs.client import ElevenLabs

elevenlabs = ElevenLabs(api_key=os.getenv("ELEVENLABS_API_KEY"))

# 1. Create a project from a local file (or pass source_url=... instead of file)
with open("promo.mp4", "rb") as f:
    project = elevenlabs.dubbing.project.create(
        file=f,
        source_language="en",
        reference="Q3 marketing video",
    )

# 2. Wait for the source media to be transcribed
while True:
    project = elevenlabs.dubbing.project.get(project.project_id)
    if project.status == "ready":
        break
    if project.status == "failed":
        raise RuntimeError("Project preparation failed")
    time.sleep(5)

# 3. Add a Spanish language target
language = elevenlabs.dubbing.project.language.create(
    project.project_id,
    target_language="es",
)

# 4. Wait for the dub to finish generating
while True:
    language = elevenlabs.dubbing.project.language.get(
        project.project_id, language.language_id
    )
    if language.status == "completed":
        break
    if language.status == "failed":
        raise RuntimeError("Dub generation failed")
    time.sleep(5)

# 5. Download the dubbed audio (signed URL, valid ~1 hour — re-fetch the language for a fresh one)
audio = requests.get(language.outputs.lossless_audio)
with open("promo_es.wav", "wb") as f:
    f.write(audio.content)

Quick Start (JavaScript)

typescript
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { writeFile } from "fs/promises";

const elevenlabs = new ElevenLabsClient();

// 1. Create a project (sourceUrl shown; file upload is also supported)
let project = await elevenlabs.dubbing.project.create({
  sourceUrl: "https://example.com/promo.mp4",
  sourceLanguage: "en",
  reference: "Q3 marketing video",
});

// 2. Wait for the source media to be transcribed
while (true) {
  project = await elevenlabs.dubbing.project.get(project.projectId);
  if (project.status === "ready") break;
  if (project.status === "failed") throw new Error("Project preparation failed");
  await new Promise((resolve) => setTimeout(resolve, 5000));
}

// 3. Add a Spanish language target
let language = await elevenlabs.dubbing.project.language.create(project.projectId, {
  targetLanguage: "es",
});

// 4. Wait for the dub to finish generating
while (true) {
  language = await elevenlabs.dubbing.project.language.get(project.projectId, language.languageId);
  if (language.status === "completed") break;
  if (language.status === "failed") throw new Error("Dub generation failed");
  await new Promise((resolve) => setTimeout(resolve, 5000));
}

// 5. Download the dubbed audio from the signed URL
const response = await fetch(language.outputs!.losslessAudio!);
await writeFile("promo_es.wav", Buffer.from(await response.arrayBuffer()));

Quick Start (CLI)

The elevenlabs CLI reads ELEVENLABS_API_KEY from the environment automatically.

bash
# 1. Create a project (use --source-url "https://..." instead of --file to dub from a URL)
elevenlabs dubbing project create --file promo.mp4 --source-language en
# → {"project_id": "proj_...", "status": "queued", ...}

# 2. Poll until status is "ready"
elevenlabs dubbing project get --project-id proj_...

# 3. Add a target language
elevenlabs dubbing project language create --project-id proj_... --target-language es

# 4. Poll the language until "completed", then download outputs.lossless_audio
elevenlabs dubbing project language get --project-id proj_... --language-id lang_...

Create Options

elevenlabs dubbing project create (REST: POST /v1/dubbing/project, multipart/form-data) takes either file or source_url (not both):

FieldRequiredNotes
fileone of file/source_urlSource media to dub (audio or video), up to 3 GiB
source_urlone of file/source_urlPublic URL to fetch the source media from
source_languagenoISO 639 code (e.g. en). Omit to auto-detect — the detected language is reported on the source transcript's language field
referencenoFree-form label to identify the project on your end (max 500 chars)
model_idnodubbing_v2 (default)
target_languagenoOptionally queue the first language target at creation; add more with language.create
keytermsnoTerms to bias transcription/translation toward (product/brand names). Up to 1000 terms; each at most 50 chars and 5 words; <>{}[]\ not allowed. Repeat the field once per term in multipart

Editing the Source Transcript

Once the project is ready, read the transcript, then correct it before adding languages. Every edit bumps the project's revision. Each segment has a stable id used to edit or delete it. (Enterprise workspaces only.)

python
# Read the source transcript
transcript = elevenlabs.dubbing.project.transcript.get(project_id)

# Correct a segment's text — send only the fields to change (text, speaker_id, start_s, end_s)
elevenlabs.dubbing.project.transcript.update_segment(
    project_id,
    segment_id=transcript.segments[0].id,
    text="Welcome to our latest product demo.",
)

# Add a segment (reuse an existing speaker_id so it's dubbed with that speaker's voice)
added = elevenlabs.dubbing.project.transcript.create_segment(
    project_id,
    text="Thanks for watching.",
    speaker_id=transcript.segments[0].speaker_id,
    start_s=40.0,
    end_s=42.0,
)

# Delete a segment
elevenlabs.dubbing.project.transcript.delete_segment(project_id, segment_id=added.segment.id)

Via the CLI: elevenlabs dubbing project transcript get --project-id proj_..., then update a segment with only the changed fields (--text, --speaker-id, --start-s, --end-s):

bash
elevenlabs dubbing project transcript update_segment \
  --project-id proj_... --segment-id seg_... \
  --text "Welcome to our latest product demo."

Refining Translations and Regenerating

A language's transcript pairs each source segment with its translation (null = not yet translated; segment ids match the source). Edit a single translation, then regenerate. (Enterprise workspaces only.)

python
# Read the language's translations
target = elevenlabs.dubbing.project.language.transcript.get(project_id, language_id)

# Refine a single translation (pass translation=None to clear it and mark for re-translation)
elevenlabs.dubbing.project.language.transcript.update_segment(
    project_id,
    language_id,
    segment_id=target.segments[0].id,
    translation="Bienvenido a nuestra última demostración de producto.",
)

# Regenerate the dub from the current transcript (charged like a generation)
elevenlabs.dubbing.project.language.transcript.regenerate(project_id, language_id)

Via the CLI: elevenlabs dubbing project language transcript update_segment --project-id proj_... --language-id lang_... --segment-id seg_... --translation "...", then elevenlabs dubbing project language transcript regenerate --project-id proj_... --language-id lang_... (returns 202 Accepted).

A translation edit affects only that language. After the edit, a completed language becomes stale — it keeps serving its previous output until you regenerate. Poll until completed; output_revision then equals revision and outputs.lossless_audio reflects the current transcript.

Dubbing into Multiple Languages

Add one language target per language — each generates independently. Track them all with language.list instead of polling one by one:

python
for lang in ["es", "fr", "de", "ja"]:
    elevenlabs.dubbing.project.language.create(project_id, target_language=lang)

while True:
    result = elevenlabs.dubbing.project.language.list(project_id)
    if not any(l.status in ("queued", "processing") for l in result.languages):
        break
    time.sleep(5)

States

Project:

StatusMeaning
queuedCreated; source fetch + preparation enqueued
preparingPreparation (transcription) running
readySource transcript available; add/generate languages. Projects stay ready — per-language progress lives on the languages
failedPreparation failed (e.g. source couldn't be fetched or decoded)

Language:

StatusMeaning
queuedWaiting on the project becoming ready, or on a generation worker
processingThe dub is being generated
completedFinished; outputs populated with a signed download URL (valid ~1 hour — re-fetch for a fresh one)
stalePreviously completed, but the transcript changed; keeps the last output until regenerated
failedGeneration failed

You can add a language before the project is ready — it stays queued and starts automatically once the project becomes ready. Adding a language accepts optional model_id (defaults to the project's) and voice_settings (e.g. {"cloning_strength": 7}, range 0–10, default 7 — controls how strongly dubbed speakers clone the source voices).

Error Handling

  • 401: Invalid API key
  • 409 Conflict on regenerate: The project isn't ready or the language isn't settled (e.g. already generating) — wait and retry
  • Expired download URL: outputs.lossless_audio is signed and valid ~1 hour; re-fetch the language for a fresh URL
  • Transcript editing / regeneration unavailable: These endpoints are enterprise-only — on other plans, create the project with a finalized source and add languages directly

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dubbing AI skill do?

Dub audio and video into other languages using the ElevenLabs Dubbing API (dubbing_v2), preserving the original speakers' voices. Use when translating videos, podcasts, or recordings into other languages, localizing media content, reviewing or correcting dubbing transcripts and translations, or regenerating a dub after edits.

Why use Dubbing on TypingMind?

Because you install it once and use it with any model. Dubbing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dubbing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/elevenlabs/skills/tree/main/dubbing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dubbing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dubbing?

As many as you like. As long as a model supports skills, you can use Dubbing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dubbing AI skill free?

Yes. It is published on GitHub by elevenlabs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇