Tellus AI Now Supports 50+ Languages For Real-Time Video Translation

In a world where ideas cross borders faster than ever, language shouldn't be the barrier it once was. At Tellus AI, we're on a mission to make every voice heard—regardless of the tongue it's spoken in. Today, we're thrilled to announce a major leap forward: our Chrome extension now supports over 50 languages for real-time audio translation. Whether you're tuning into a TED Talk in Mandarin, a Twitch stream in Portuguese, or a YouTube tutorial in Swahili, Tellus AI turns the unknown into the understood, delivering subtitles, AI-generated voiceovers, or both, all without missing a beat.

This expansion isn't just about numbers; it's about opening doors to diverse cultures, knowledge, and communities. From bustling K-pop fan streams to academic lectures in lesser-resourced dialects, our enhanced language coverage brings the globe closer, right in your browser.

The Rapid Evolution of Multilingual AI in 2025

The past year has seen explosive growth in AI's linguistic capabilities, driven by massive datasets and innovative architectures. Leading models like OpenAI's GPT-4o and Google's Gemini now handle over 100 languages with improved fluency, thanks to techniques like cross-lingual transfer learning that allow a model trained primarily on English to adapt to low-resource languages with minimal fine-tuning. Open-source contenders, such as Meta's Llama 3.1 and Alibaba's Qwen 2, have pushed boundaries further, supporting dozens of languages out of the box—including Arabic, Hindi, and Indonesian—with benchmarks showing near-human accuracy in translation tasks.

Even hardware giants are joining the fray. Apple's 2025 Intelligence Foundation Models introduce multimodal multilingual processing, blending text, audio, and vision for seamless device integration. Meanwhile, specialized tools like DeepL's partnership with Synthesia enable AI-powered video avatars that dub content into multiple languages with lip-sync precision. These advancements aren't without hurdles—a recent survey of over 50 multilingual models highlighted issues like data imbalance, where high-resource languages like English dominate 90% of training corpora, leading to biases in translation quality for African or Indigenous tongues.

At Tellus AI, we've leveraged these industry strides to supercharge our extension. By integrating state-of-the-art models with our proprietary audio pipeline, we've expanded from core European and Asian languages to a robust 50+ lineup, prioritizing both popular and emerging ones.

Navigating the Linguistic Landscape: AI's Strengths and Gaps

Over the years, AI has been trained on all sorts of media, written and audio, and has thereby become better at both deciphering/understanding and speaking languages. With that said, it is only natural that AI has become better at certain, more widely spoken, languages than others, as there is more material to train on where said languages are used. For example, languages such as English, Chinese, and Spanish, as well as languages of countries with larger populations, such as Japanese, Russian, or Korean.

If you didn’t find your language in the list above, don’t worry, the Tellus AI Chrome extension allows custom language selection—you can input the name of your preferred language in a text field—and see if it works well. Note, however, that if a language is not included in the above list, there is not a guarantee the AI will be able to translate all words or pronounce words in that language in an interpretable manner. This ties back to the fact that the AI model has not been trained enough on certain languages to have mastered them to perfection.

However, with the betterment of AI comes the betterment of pronunciation and quality of translation. Considering the incredible speed at which AI has improved in the past few years, it’s likely not long before it has learned to master most, if not all, languages on our beautiful planet.

This disparity underscores a key truth: while AI translation has democratized access to information, equitable coverage remains an ongoing pursuit. Our 50+ language support bridges this gap by focusing on high-fidelity models for underrepresented tongues, ensuring that users from regions like Southeast Asia or Latin America experience translations that feel natural and culturally attuned.

Spotlight: Exploring Tellus AI's Expanded Language Suite

Our new milestone covers a diverse array of languages, categorized for clarity:

Category	Examples (Newly Enhanced or Added)	Use Cases
High-Resource Global Languages	English, Spanish, Mandarin Chinese, French, German	International news streams, business webinars
Asian Powerhouses	Japanese, Korean, Hindi, Bengali, Vietnamese	K-dramas on YouTube, Bollywood live events
European and Slavic	Italian, Portuguese, Russian, Polish, Dutch	Euro esports tournaments, Eastern European podcasts
Emerging and Regional	Swahili, Arabic (Modern Standard), Turkish, Indonesian, Tagalog	African tech talks, Middle Eastern vlogs, Southeast Asian gaming
Low-Resource Additions	Amharic, Yoruba, Maori, Kurdish, Tamil	Community storytelling sessions, indigenous language preservation efforts

This isn't exhaustive—our extension dynamically adapts to user input for even more options. For instance, translating a live Somali debate into English now delivers subtitles synced to 95% accuracy, rivaling professional services. We've tested these across thousands of hours of content, prioritizing accents and dialects to minimize errors in fast-paced environments like live Twitch chats.

Tackling Translation Challenges with Cutting-Edge Tech

Building robust multilingual support requires more than raw compute; it's about smart engineering. Tellus AI employs advanced AI models trained with techniques like zero-shot learning—where models infer translations for unseen languages based on shared linguistic roots—and fine-tuned diffusion models for voice synthesis that mimic regional intonations.

Consider the hurdles identified in 2025's multilingual surveys: uneven data distribution and alignment drift, where translations lose nuance across cultural contexts. We counter this with hybrid pipelines: our audio transcription layer uses Whisper-type models optimized for noisy web streams, followed by translation via ensemble methods that blend GPT-like and specialized engines for better handling of idioms. The result? Voice outputs that translate words and capture nuanced words and audio.

Real-World Stories: Languages Unlocked

Imagine a Brazilian developer following a Silicon Valley keynote in English, now effortlessly dubbed in Portuguese with crystal-clear AI narration—empowering her to innovate without subtitles slowing her down. Or a Swedish gamer immersed in a Korean Overwatch tournament, where real-time voice translation lets trash-talk flow naturally, building cross-cultural rivalries.

These aren't hypotheticals. Early adopters report 40% more engagement with foreign content, from educational MOOCs in Arabic to wellness streams in Thai. By layering translated audio over originals (with volume controls), users stay connected to the source while gaining full comprehension—perfect for language learners practicing immersion.

The Horizon: AI's Path to Universal Translation

Looking to 2026 and beyond, predictions point to a "polyglot explosion": models supporting 200+ languages via federated learning, where user interactions (anonymized, of course) refine low-resource support in real time. Tools like DeepSeek's OCR advancements will extend this to visual-audio hybrids, translating sign language in videos seamlessly.

At Tellus AI, we're committed to this vision. Our roadmap includes expanding to 75+ languages by mid-2026, with beta features for dialect-specific voices. The goal? A world where language is a feature, not a filter.

Ready to Speak the World's Languages?

Dive into the future of frictionless communication today. Install the Tellus AI Chrome extension, select your languages, and start translating—it's free to try with unlimited previews.

What language will you unlock first? The conversation starts now.