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18 June 2026·4 min read

30 Languages, One Platform: Building AI Video for a Global Audience

Most AI video tools are built for English-first audiences. What multilingual AI video makes possible for creators and businesses, and how Ayka helps.

The internet is often thought of as an English-speaking medium, but the numbers tell a different story. Less than 20% of the world's internet users are native English speakers. The fastest-growing online audiences are in South Asia, Southeast Asia, Latin America, and sub-Saharan Africa — regions where creators and businesses are building audiences in their own languages.

AI video tools built only for English audiences are leaving most of the world behind.

The language gap in AI content creation

Most AI video and voiceover tools were built with English as the primary language and added other languages as an afterthought. The quality difference is often obvious — English voiceovers sound natural and expressive, while other languages sound mechanical or carry a strong non-native accent.

For a Telugu-speaking creator in Hyderabad, a Swahili-speaking entrepreneur in Nairobi, or a Portuguese-speaking business owner in São Paulo, this gap means their content sounds less professional than equivalent content in English. That's an unfair disadvantage that has nothing to do with the quality of their ideas.

What 30-language support actually means

Ayka's avatar video feature supports over 30 languages with natural-sounding voiceover and caption generation. This isn't a list of languages where the AI technically produces output — it's a set of languages where the output is actually usable for publishing.

The language list spans:

  • South Asian languages: Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Marathi, Gujarati, Punjabi, Odia, and Hinglish
  • East and Southeast Asian languages: Chinese (Mandarin), Japanese, Korean, Indonesian, Vietnamese
  • European languages: English, French, German, Spanish, Portuguese, Italian
  • African languages: Swahili, Yoruba, Zulu
  • Middle Eastern languages: Arabic

For each of these languages, the AI generates both voiceover and synced captions — which means you can publish content that's accessible to viewers who watch without sound (a significant and growing portion of social media consumption).

Use cases beyond India

The use cases extend well beyond the obvious:

Indian diaspora content: An Indian creator based in the UK making content for their home-state audience in Tamil or Telugu. The audience is thousands of kilometres away but the language keeps the connection strong.

Multilingual business content: A company with customers in India, the Middle East, and Southeast Asia can produce the same product explainer in Hindi, Arabic, and Indonesian without a separate production run for each language.

Education across language barriers: An NGO creating health awareness content for communities that speak different languages across a region — the same factual content, rendered in the language of each audience.

African creators: YouTube and TikTok creators in Nigeria, Kenya, and South Africa building audiences in Yoruba, Swahili, or Zulu alongside English — reaching audiences that feel represented in their own language.

Multi-script caption support

Language isn't just audio. Captions need to render correctly in different scripts: Devanagari for Hindi and Marathi, Tamil script, Arabic (right-to-left), Chinese characters, Korean Hangul.

Getting caption rendering wrong is surprisingly common in video tools that add language support as an afterthought. Devanagari rendered in a font that doesn't support conjunct characters looks broken. Arabic rendered left-to-right is unreadable.

Ayka generates captions in the correct script for each language, with proper text direction and appropriate fonts — so the finished video is actually publishable.

The bigger picture

The internet is becoming more multilingual, not less. Platforms that once enforced English — YouTube, Instagram, LinkedIn — now actively promote non-English content to non-English audiences. Algorithm changes in 2024 and 2025 have increasingly rewarded local-language content with local-language audiences.

Creators and businesses that invest in multilingual content now are building an audience in every language they speak — not just the one that got historically privileged.


Create video content in your language — or all thirty of them.

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