Audio & Podcasting

MediaThrive Now Supports 74 Languages for AI Audio Narration and Podcast Generation

MediaThrive now supports 74 languages for AI-powered audio narration, TTS, and podcast generation — from Afrikaans to Welsh. Here's what changed, what's new, and why it matters for global media teams.

MediaThrive Editorial Team10 min read
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MediaThrive has always been built around one core idea: AI-powered media production that removes the bottlenecks between a story and its audience. Today, that commitment takes a major step forward. We've expanded our multilingual audio narration and text-to-speech (TTS) engine from 38 languages to 74 fully supported languages — making MediaThrive one of the most linguistically capable AI audio narration platforms available for newsrooms, broadcasters, and content teams.

This isn't a minor update. It's a fundamental expansion of what's possible when your content pipeline speaks the world's languages.

From 38 to 74: What's New

Our previous audio narration engine covered strong ground — English (US, UK, Australia, Canada), Japanese, Chinese, German, Hindi, French (France, Canada), Korean, Portuguese (Brazil, Portugal), Italian, Spanish (Spain, Mexico), Indonesian, Dutch, Turkish, Filipino, Polish, Swedish, Bulgarian, Romanian, Arabic (Saudi Arabia, UAE), Czech, Greek, Finnish, Croatian, Malay, Slovak, Danish, Tamil, Ukrainian, Russian, Hungarian, Norwegian, and Vietnamese.

That was 38 languages and regional variants, covering a significant portion of global digital media. But significant is not the same as comprehensive.

The new engine supports 74 languages spanning every major language family on Earth:

  • African languages: Afrikaans, Hausa, Lingala, Somali, Swahili, Chichewa (Nyanja)
  • South & Southeast Asian languages: Assamese, Bengali, Gujarati, Hindi, Javanese, Kannada, Malayalam, Marathi, Nepali, Punjabi, Sindhi, Tamil, Telugu, Urdu
  • Central & East Asian languages: Kazakh, Kirghiz, Mandarin Chinese
  • Middle Eastern & South Asian: Arabic, Hebrew, Pashto, Persian (Farsi)
  • European languages (expanded): Armenian, Azerbaijani, Belarusian, Bosnian, Catalan, Croatian, Czech, Danish, Dutch, Estonian, Finnish, French, Galician, Georgian, German, Greek, Hungarian, Icelandic, Irish, Italian, Latvian, Lithuanian, Luxembourgish, Macedonian, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swedish, Ukrainian, Welsh
  • Southeast Asia: Cebuano, Filipino, Indonesian, Malay, Thai, Vietnamese
  • East Asia: Japanese, Korean
  • English (all major dialects)

Here's the complete list with ISO 639-3 codes:

CodeLanguageCodeLanguageCodeLanguage
AFR
Afrikaans
HAU
Hausa
POL
Polish
ARA
Arabic
HEB
Hebrew
POR
Portuguese
HYE
Armenian
HIN
Hindi
PAN
Punjabi
ASM
Assamese
HUN
Hungarian
RON
Romanian
AZE
Azerbaijani
ISL
Icelandic
RUS
Russian
BEL
Belarusian
IND
Indonesian
SRP
Serbian
BEN
Bengali
GLE
Irish
SND
Sindhi
BOS
Bosnian
ITA
Italian
SLK
Slovak
BUL
Bulgarian
JPN
Japanese
SLV
Slovenian
CAT
Catalan
JAV
Javanese
SOM
Somali
CEB
Cebuano
KAN
Kannada
SPA
Spanish
NYA
Chichewa
KAZ
Kazakh
SWA
Swahili
HRV
Croatian
KIR
Kirghiz
SWE
Swedish
CES
Czech
KOR
Korean
TAM
Tamil
DAN
Danish
LAV
Latvian
TEL
Telugu
NLD
Dutch
LIN
Lingala
THA
Thai
ENG
English
LIT
Lithuanian
TUR
Turkish
EST
Estonian
LTZ
Luxembourgish
UKR
Ukrainian
FIL
Filipino
MKD
Macedonian
URD
Urdu
FIN
Finnish
MSA
Malay
VIE
Vietnamese
FRA
French
MAL
Malayalam
CYM
Welsh
GLG
Galician
CMN
Mandarin Chinese
KAT
Georgian
MAR
Marathi
DEU
German
NEP
Nepali
ELL
Greek
NOR
Norwegian
GUJ
Gujarati
PUS
Pashto
FAS
Persian

Why Multilingual Audio Narration Matters for Media Teams

The global podcast and digital audio market is growing fast. Audiences in Southeast Asia, the Middle East, and Sub-Saharan Africa are consuming audio content at unprecedented rates — yet the overwhelming majority of AI-powered narration tools are still optimized for English and a handful of European languages.

That gap is a real problem for any media organization trying to reach global audiences at scale. Producing professional audio narration in 20 languages using traditional workflows requires 20 voice actors, 20 recording sessions, 20 editing passes, and 20 rounds of QA. It's not just expensive — it's slow enough to make real-time news audio in multiple languages practically impossible.

MediaThrive's AI audio narration engine eliminates that bottleneck. You write or import your content once, select your target languages, and the system generates broadcast-quality audio narration across all of them — simultaneously, in minutes, not days. This is exactly what our solutions for media teams are designed to enable.

Use Cases: What You Can Build With 74-Language TTS

Multilingual Podcast Production

News organizations and independent publishers can now produce the same episode in dozens of language editions automatically. Whether you're a broadcaster targeting the South Asian diaspora with Bengali and Gujarati editions, or a business news outlet reaching French-speaking Africa via French and Swahili, MediaThrive handles the podcast narration pipeline end-to-end — from text input to ready-to-publish audio files.

AI-Narrated News Audio

Breaking news moves faster than any human voice-over workflow can keep up with. With 74-language TTS built into your content pipeline, every article can become a listenable audio piece the moment it's published — in every language your editorial team operates in. No scheduling, no studio bookings, no turnaround time. See how this compares to traditional tools on our comparison pages.

Accessibility and Inclusive Content

Audio narration is also a critical accessibility tool. For audiences with visual impairments, reading difficulties, or those who simply prefer to listen, having narrated content available in their native language isn't a nice-to-have — it's essential. Languages like Irish (gle), Welsh (cym), and Luxembourgish (ltz) are spoken by smaller communities whose members are often underserved by mainstream accessibility tools. MediaThrive now covers these communities too. Learn more about how our platform features support inclusive content production.

E-Learning and Corporate Training at Scale

Global teams using MediaThrive for internal communications, training materials, or e-learning modules can now narrate in Kazakh, Georgian, Macedonian, Slovenian, and dozens of other languages that are rarely supported by off-the-shelf TTS platforms. Our solutions page outlines how media and enterprise teams are already doing this today.

Programmatic Audio for SEO and Engagement

Audio versions of articles and blog posts increase time-on-page and reduce bounce rates. When your audio is in the visitor's native language, those engagement gains compound. With 74-language narration, media sites can deploy audio across entire content libraries in multiple languages — making every piece of content more discoverable and more engaging. This is one of the core strategies we explore in the MediaThrive blog.

Under the Hood: How the Engine Works

MediaThrive's audio narration engine is built on modern neural TTS architecture — part of the broader technology stack we've developed over years of production deployment with global publishers. Rather than concatenating pre-recorded phoneme clips (the approach behind older text-to-speech systems), our engine generates speech waveforms end-to-end using deep learning models trained on large multilingual corpora.

The result is narration that sounds natural in each language — not like a robotic English TTS system stumbling through foreign phonetics. Languages with complex tonal systems (Mandarin, Vietnamese, Thai), retroflex consonants (Hindi, Punjabi, Marathi), or elaborate morphology (Finnish, Hungarian, Georgian) are handled by language-specific model heads trained on native speaker data.

Every language in the new 74-language set ships with:

  • At least one high-quality AI voice (male or female)
  • Proper phoneme mapping and prosody modeling for that language's rhythm and intonation
  • Support for language-specific punctuation and text normalization (numerals, dates, abbreviations)
  • Integration with MediaThrive's existing audio workflow — including auto-splitting for podcast chapters, silence trimming, and audio file export in MP3 and WAV

Newly Added Languages: Spotlight on Coverage Gaps Closed

Several languages in the new set are worth highlighting specifically because they've historically been ignored by commercial TTS platforms — and where our expansion makes a real difference:

Lingala (lin) — Spoken by over 20 million people across the Democratic Republic of Congo and Republic of Congo, Lingala is a major lingua franca of Central Africa that appears in virtually no mainstream TTS system. MediaThrive now supports it.

Cebuano (ceb) — The second most-spoken language in the Philippines with over 20 million native speakers, Cebuano is almost entirely absent from commercial AI voice tools despite its large and growing online audience.

Icelandic (isl) — A Nordic language with a rich literary tradition and an active digital media scene, Icelandic has been a persistent gap in TTS coverage due to its small speaker base making training data scarce.

Irish (gle) — As one of the EU's official languages and a language undergoing significant revival efforts, Irish-language audio content production has historically required specialist voice actors. MediaThrive removes that dependency.

Luxembourgish (ltz) — Spoken by the majority of Luxembourg's residents and used in official government communications, Luxembourgish is another language where high-quality AI TTS has been essentially nonexistent until now.

If you're curious how our multilingual capabilities compare to competitors like ReadSpeaker or Murf, we've put together honest side-by-side comparisons covering features, language support, and pricing.

Getting Started with Multilingual Audio Narration

If you're already using MediaThrive for audio narration or podcast generation, the new languages are available immediately — no additional configuration required. You'll find the expanded language selector in your audio generation settings. Check the changelog for the full release notes.

If you're new to MediaThrive, our platform is designed for media teams who need to produce professional audio content at the speed of digital publishing. The audio narration module integrates directly with your editorial workflow, supporting bulk narration of existing content libraries as well as real-time narration of new articles as they're published.

Start a free 14-day trial — no credit card required — and generate your first multilingual audio piece in minutes. Or talk to our team about what a 74-language audio narration pipeline looks like for your specific workflow and scale.

The expansion to 74 languages is part of a broader roadmap to make MediaThrive the most capable AI media production platform for teams working across languages, formats, and geographies. Audio narration is just one component — alongside AI video generation, automated publishing, and multi-format content transformation — of a pipeline built to handle modern media production demands at scale.

The Bottom Line

Language coverage in AI audio narration isn't a feature checkbox. It determines which audiences you can realistically serve with automated audio production — and which ones you're still handling manually, expensively, and slowly. Going from 38 to 74 languages doesn't just add languages: it changes the strategic calculus for every media organization trying to operate at global scale.

MediaThrive's 74-language TTS and audio narration engine is available now. Start your free trial or contact our team to see what multilingual audio production looks like for your workflow.

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