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Creating Podcasts in Multiple Languages: Reach a Global Audience

How to create AI-powered podcasts in 7 languages including English, Japanese, Korean, Spanish, and more. Expand your audience without hiring translators.

Chandler Nguyen··7 min read

Multilingual podcast creation uses AI to generate the same podcast episode in multiple languages from a single input — reaching global audiences without separate production teams or translators. The podcast industry has a language problem. Over 60% of podcasts are in English, yet only 17% of the world speaks it as a first or second language. If you're creating content exclusively in English, you're missing most of the world's potential listeners.

Why Is Multilingual Podcasting a Huge Opportunity?

Over 60% of podcasts are in English, yet only 17% of the world speaks it. Consider the numbers:

  • Spanish — 560 million speakers worldwide
  • Chinese — 1.1 billion Mandarin speakers
  • Japanese — 125 million speakers, one of the highest podcast adoption rates globally
  • Korean — 80 million speakers, with the Korean audio content market growing 30% annually
  • Vietnamese — 85 million speakers, rapidly growing internet population
  • French — 321 million speakers across 29 countries

Each of these represents an underserved podcast market. The demand for quality audio content in these languages far outstrips supply — especially in education and marketing, where localized content drives significantly higher engagement.

Traditional vs. AI-Powered Multilingual Podcasting

FactorTraditional ApproachAI Multilingual
Languages per episode1 (separate production per language)Up to 7 from a single input
Translation timeDays to weeks per languageMinutes — scripts generated natively, not translated
Voice consistencyVaries by hired talent per languageConsistent AI voices matched to each language
Cost per language$500–$2,000+ per episode per languageSame flat credit cost regardless of language
Quality controlManual review per language teamUnified outline approval workflow across all languages

AI podcast generation changes the economics entirely. Instead of hiring native-speaking hosts, translators, and editors for each language, you define your content once and generate in any supported language — with native-quality scripts and language-matched voices.

How Does Multilingual Podcast Creation Work?

Language selector showing all 7 supported languages in DIALØGUE
Language selector showing all 7 supported languages in DIALØGUE

Research Phase

The AI researches your topic using language-appropriate sources. For a technology topic, it might pull from English-language tech publications but present findings in a way that resonates with Japanese or Korean audiences.

Script Generation

This is where multilingual AI podcasting differs most from simple translation. The AI doesn't translate an English script — it generates a new script in the target language. This means:

  • Cultural context — References and examples are appropriate for the target audience
  • Natural phrasing — Idioms and conversational patterns match how native speakers actually talk
  • Proper structure — Different languages have different rhetorical conventions; the AI adapts accordingly

Voice Synthesis

Modern TTS models are trained on native speaker data for each language. The result is pronunciation, rhythm, and intonation that sound natural — not like a foreign speaker reading a script.

Reach your global audience today. Create a multilingual podcast in any of 7 supported languages — same content, native-quality audio.

What Are the Best Practices for Multilingual Podcasts?

Start with Your Strongest Market

Don't launch in all 7 languages simultaneously. Start with 2-3 languages where you have the strongest potential audience, learn what works, then expand.

Topic Selection Matters

Some topics are universally interesting (technology trends, health, business). Others are culturally specific. Choose topics that resonate across your target languages.

Customize podcast tone and target audience
Customize podcast tone and target audience

Review Outlines Per Language

The outline review step becomes even more important with multilingual content. What works as a talking point in English might need adjustment for a Japanese audience. Take advantage of the outline approval workflow to customize per language.

Consistent Publishing

If you're publishing in multiple languages, maintain a consistent schedule in each. Listeners in each language should be able to rely on regular episodes, which is easy to maintain with branded podcast strategies.

Use Recurring Shows

Set up separate recurring shows for each language. This lets you customize keywords, templates, and schedules per market while maintaining a unified content strategy.

Language-Specific Tips

Japanese

Japanese audiences value thoroughness and structured information. Educational and analysis templates work particularly well. Pay attention to politeness levels in the script.

Korean

Korean podcast listeners trend younger and prefer conversational, engaging styles. The discussion template with an energetic voice pairs well with Korean content.

Spanish

Remember that Spanish varies significantly between regions. Content targeting Spain differs from content targeting Latin America. Choose your focus market.

Chinese (Mandarin)

Mandarin content benefits from clear structure and practical takeaways. Business and technology templates perform well.

Vietnamese

The Vietnamese podcast market is growing rapidly. Technology and education topics see strong engagement. Consider local context and examples.

French

French listeners appreciate well-researched, analytical content. The analysis and educational templates are strong choices.

Measuring Multilingual Success

Track these metrics per language:

  • Download/play counts — Which languages generate the most engagement?
  • Completion rates — Are listeners finishing episodes in all languages?
  • Growth rate — Which language markets are growing fastest?
  • Feedback quality — Are native speakers finding the content natural and valuable?

Getting Started

Creating your first multilingual podcast episode:

  1. Choose your topic
  2. Select your template and voice
  3. Pick your target language from the language selector
  4. Review the outline (it will be in your target language)
  5. Generate and publish

The entire process takes about 10 minutes per language. A 3-language content strategy means 30 minutes of work for content that reaches hundreds of millions of potential listeners.


Start reaching global audiences today. Create a multilingual podcast on DIALØGUE — 7 languages, one platform.

Frequently Asked Questions

What languages can AI podcasts be generated in?
DIALØGUE supports 7 languages: English, Vietnamese, Japanese, Korean, Spanish, Chinese (Mandarin), and French, each with native TTS voices and culturally appropriate content.
Are the podcasts truly native quality?
Yes, each language uses native TTS voices and the AI generates content directly in the target language rather than translating, ensuring natural phrasing and cultural context.
Can I create the same podcast in multiple languages?
Yes, use the same topic with different language settings to create localized versions for different audiences, all from a single content creation workflow.
Can I create the same episode in all 7 languages simultaneously?
You can create versions in all 7 supported languages from the same topic. Each language version is generated as a separate episode so you can review outlines and customize per audience, but the workflow is identical — just select a different language each time.
Do AI voices sound natural in non-English languages?
Yes. DIALØGUE uses TTS models trained on native speaker data for each language, producing natural pronunciation, rhythm, and intonation. The scripts are also generated natively in each language rather than translated, so phrasing and idioms sound authentic.
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Written by

Chandler Nguyen

Ad exec turned AI builder. Full-stack engineer behind DIALØGUE and other production AI platforms. 18 years in tech, 4 books, still learning.

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