AI Dubbing for Localization Agencies: Scale Faster, Serve Smarter

Why Video Localization Is a Must-Have Service

Video is the dominant format across marketing, training, recruitment, support, and internal comms. But video is only truly effective if it speaks the language of its audience.

That’s where localization agencies come in – and where they can shine.

Companies need more than just subtitles:

They want full, high-quality voice translation – fast, affordable, and scalable. Agencies that can deliver AI-powered dubbing unlock an entirely new business field, one that was previously reserved for large studios.

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The Limits of Traditional Voice-Over

Classic dubbing via studio voice recordings can be effective – but it’s expensive, slow, and difficult to scale.

• Booking voice actors takes time
  
• Studio sessions add significant costs
  
• Editing timing, emotion, and style is manual
  
• Lead times can stretch into weeks for large projects
  

In a world of weekly content calendars, product launches, or multilingual onboarding videos, this just doesn’t cut it anymore.

AI Dubbing offers the solution.

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The Benefits of AI Dubbing for Agencies

New Revenue Streams

AI dubbing lets you evolve from text translation to full video localization – without outsourcing.

You can now:

• Translate and voice-over client videos in-house
  
• Offer complete packages (text, audio, video)
  
• Monetize services per language, per minute, or via subscription
  
  

Major Efficiency Gains

With the right platform, you can:

• Edit translations manually to match tone or style
  
• Use glossaries to ensure brand consistency
  
• Translate videos in bulk
  
• Integrate dubbing directly via API
  
  

This isn’t just automation – it’s profitable scalability.

Reduced Costs, Higher Margins

Studio dubbing costs €100–300 per minute.
With AI dubbing, you're looking at €2–4 per minute – with optional extras like lip sync or native speaker review.

That means:

• High-quality delivery
  
• Faster turnaround
  
• Significantly better profit margins

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Why Dubly Is the Perfect Partner for Localization Agencies

Dubly was built with enterprise users and agencies in mind.
You don’t just get a tool – you get a long-term partner.

Enterprise-Ready Technology

• 30+ supported languages
  
• Realistic AI voices with emotional nuance
  
• Optional lip sync, multi-speaker recognition
  
• Audio cleanup, pacing, and pronunciation control
  
• Bulk upload and full API integration
  
  

Full Control Over Output

• Manual editing of all translations
  
• Account-wide custom glossaries
  
• Speaker settings and tone instructions via prompts
  
• Optional Native Speaker Review for high-stakes content
  
  

Real Human Support

• Live chat with real people, not bots
  
• Fast response times and hands-on assistance
  
• Solution guarantee: If something isn’t right, we fix it
  
• Strategic onboarding and integration guidance
  
  

Built for GDPR and Trust

• EU-based data storage
  
• Processing with US subprocessors only under SCCs
  
• No use of customer content for training AI models
  
• NDAs, TOMs, and DPAs available on request

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FAQ: AI Dubbing for Localization Agencies – Scale Faster, Serve Smarter

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Why is AI dubbing especially relevant for agencies?

Because it enables fast, scalable translations while significantly reducing production costs compared to traditional dubbing.

How do agencies benefit from high project volumes?

With bulk uploads, API integration, and automated workflows, hundreds of videos can be processed in parallel without losing quality.

What quality features does Dubly provide for agencies?

Natural voices, precise lip sync, glossaries for brand terms, and optional native speaker review ensure consistent results.

Why is data protection critical in client projects?

Dubly is fully GDPR compliant, stores data exclusively in the EU, and ensures content is never used for uncontrolled training.

How can agencies integrate Dubly into existing processes?

Through open APIs, flexible workflows, and a central dashboard, Dubly can be seamlessly embedded into existing systems and pipelines.

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