MediaLocalize — AI Websites & Localization

Multilingual DTP Explained: Typography Rules, Tools, and Workflow for Chinese-English Documents

Getting multilingual DTP right is about more than swapping out text. This guide covers CJK typography rules, font selection, tool comparison, and the five-step workflow we follow on every technical document project.

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AI Dubbing vs. Human Voice Actors: When Each Makes Sense

Both AI and human dubbing have their place. The right choice depends on content type, budget, and turnaround — not a blanket preference for either.

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How Translation Memory Reduces DTP Turnaround — and Why Most Clients Don't Use It

Translation memory is widely understood in translation circles. Its impact on the downstream DTP workflow is less discussed — but often more significant for clients with recurring multilingual documents.

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International SEO: A Practical Guide for Chinese Manufacturers

Getting a Chinese manufacturer’s website to rank on Google for international buyers requires a different approach than domestic SEO. This guide covers keyword strategy, technical requirements, and content structure that works.

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Neural TTS and the Rise of AI Voice in Localization

The leap from robotic text-to-speech to neural voice synthesis has changed what is possible in localization. Here is how the technology works, what it can realistically deliver, and where the limits still are.

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Why Your Export Website Loads Slowly for International Buyers (And What to Do About It)

A website that loads in 1.2 seconds in Shanghai can take 12 seconds to load in Frankfurt. For B2B exporters, this gap costs qualified inquiries every day — and the fix is simpler than most people expect.

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Video Localization for Corporate Training: Subtitles, Dubbing, and On-Screen Text

Corporate training video localization involves more than translating a script. This guide covers the three main approaches, when to use each, and how to avoid the technical mistakes that create expensive rework.

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Human Translation vs. Machine Translation: Choosing the Right Approach for Technical Content

Machine translation has improved dramatically, but it is not a replacement for human expertise on technical content. The answer lies in understanding where each approach adds value — and where it introduces risk.

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