English
EN

Lovable Video Translator

Connect VMEG to Lovable to translate, dub, and localize videos in 170+ languages from inside your AI app builder. Use VMEG through a custom MCP connector or the VMEG Remote MCP server to add AI-powered video translation to your Lovable-built apps.

What Is a Lovable Video Translator?

A Lovable video translator is a workflow that pairs Lovable's AI app builder with a video translation engine. You add VMEG as an MCP connector inside your Lovable project, and the AI can take a video file or link, hand it off to VMEG for translation and dubbing, then return the localized output — ready to embed in the app you're building.

Lovable is a frontend-and-app builder. It does not decode the audio in an MP4 on its own. To translate a video "with Lovable," you connect it to a tool that handles the media pipeline. VMEG is that tool. Once connected through a custom MCP connector, Lovable can:

  • Receive a video file or YouTube link inside your project chat
  • Call the VMEG MCP tools (`vmeg_create_video_translation_task`, etc.)
  • Wait for the translated, dubbed, and lip-synced output
  • Embed or hand off the finished file from inside the app you're building

This is useful for indie hackers, growth teams, and content creators who use Lovable to ship marketing sites, course platforms, and content apps — and want to ship them multilingual from day one.

Lovable connected to VMEG video translation workflow

How to Translate a Video with Lovable (Step by Step)

You have two ways to get started.

Option 1

Option 1 — Add VMEG through a custom MCP connector (recommended)

MCP

upload

Dubbing

1. Open Lovable and go to Settings → Integrations / MCP Connectors.

2. Click Add Custom Connector and search for VMEG (if available).

3. Select VMEG and click Connect.

4. Complete the VMEG authorization flow and grant access.

5. Once connected, VMEG will be available in Lovable as an MCP tool for video translation.

Open Lovable → Project → MCP

Option 2

Option 2 — Manual MCP setup (works today)

API key

Enter link

Dubbing

1. Open Lovable MCP settings and choose Add Custom MCP Server.

2. Add the VMEG MCP endpoint: https://www.vmeg.ai/api/mcp

3. Add your VMEG API Key for authentication:

4. Save the configuration and refresh Lovable to load the MCP server.

5. Verify that VMEG appears in your MCP tools, then use natural-language prompts to translate videos.

Full instructions

Why Use VMEG as Your Lovable Video Translator

Connect VMEG to Lovable and localize every video in your app build — dubbing, lip-sync, and embed-ready output without leaving the project chat.

Real Video Translation, Not Just Transcripts

VMEG re-dubs audio, syncs lips, and clones the speaker's voice in 170+ languages. Lovable gets back a production-ready localized video — not a plain SRT file you still have to wire into your app yourself.

Dubbed video with lip-sync, voice cloning, and multi-language audio tracks

Ship Multilingual Apps From Day One

Ask Lovable to translate a demo video and embed it on your homepage — all in the same project chat. Paste a YouTube link or upload an MP4, pick a target language, and drop the finished clip straight into the page you're building.

Lovable project chat translating and embedding a localized demo video

One Platform, No Extra Cost

MCP usage draws from your existing VMEG plan — no separate connector fee. Every Lovable request runs on the same production-grade dubbing, lip-sync, and voice-cloning engine that powers vmeg.ai.

Shared VMEG credits and production engine across Lovable MCP and vmeg.ai

What You Can Translate with Lovable + VMEG

One secure platform for professional AI dubbing pipeline

Media type
Video file
Audio file
YouTube link
Subtitle file
Supported inputs
MP4, MOV, WEBM, MKV
MP3, WAV, M4A
Any public YouTube URL
SRT, VTT
Output
Translated + dubbed video with optional lip-sync
Translated audio in target language
Translated + dubbed video
Translated subtitles in target language

170+ target languages

**Voice cloning** to keep the original speaker's tone

Lip-sync

for translated mouth movement

Speaker detection

with auto-labeled multi-speaker output

Subtitle generation

burned-in or exportable SRT/VTT

Full instructions

Common Use Cases

Course platforms

Build the course site in Lovable, dub every lesson into 10 languages inside the same project.

Marketing sites

Ship a multilingual landing page with localized demo videos in one build.

Creator pages

Translate a single intro video into multiple languages for a global audience.

Frequently

Asked

Questions

Can Lovable translate a video by itself?

No. Lovable is an AI app builder — it does not process audio or video on its own. To translate a video file, connect Lovable to a video translation engine through MCP. VMEG is that engine.

Do I need a paid Lovable plan?

MCP and connector features are available on paid Lovable plans. VMEG itself has a free tier; production usage draws on VMEG plan credits.

How long does a 5-minute video take?

Usually 5–15 minutes, depending on language pair and whether lip-sync is enabled.

Can I keep the original speaker's voice?

Yes. VMEG's voice cloning preserves the original speaker's tone, pacing, and timbre in the target language. You can also pick from 100+ stock voices.

Does the output come back with lip-sync?

Yes, lip-sync is on by default for video outputs. You can disable it in the task settings for faster rendering.

What languages are supported?

170+ languages including Spanish, French, German, Mandarin, Japanese, Korean, Arabic, Hindi, Portuguese, Russian, Italian, Dutch, and more. Full list at https://www.vmeg.ai/.

Is my video uploaded to Lovable?

Files are processed by VMEG through an encrypted MCP channel. You retain ownership of your content. See VMEG's privacy policy for details.

Can I embed the translated video directly in my Lovable build?

Yes. Once VMEG returns the localized video, you can ask Lovable to embed it in any page, section, or component of your project.

What if the Lovable directory doesn't list VMEG yet?

Use the custom MCP connector setup above. It works today. The one-click directory install is rolling out this week.