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ElevenLabs launches Dubbing v2, which it says preserves the original speaker's emotion, tone, and pacing across 90+ languages while staying synced to content

Today we're launching Dubbing v2, our revolutionary new AI dubbing model.  —  For the first time, the emotion and performance …

ElevenLabs

Context & Ripple Effects

AI dubbing has moved from creator-focused experiments—YouTube tested Aloud with creators and initially limited languages—to deployment by video platforms, including Amazon’s Prime Video pilot. ElevenLabs’ new release is part of that progression toward higher-fidelity localization.

ElevenLabs has also been expanding beyond voice generation into adjacent audio tooling, such as prompt-generated sound effects. Dubbing v2 therefore broadens its position from a voice model provider toward a production-audio platform.

First-order effects

  • Creators, media publishers, and localization teams can use ElevenLabs’ model for synchronized multilingual versions while aiming to retain more of the source performance across more than 90 languages.
  • The launch raises the product bar for ElevenLabs’ existing dubbing offering by making emotional delivery, tone, pacing, and synchronization central quality claims rather than treating translation alone as the output.

Second-order effects

  • Platform and streaming-service dubbing initiatives face greater pressure to improve performance quality and language coverage, not merely automate translation, as synthetic dubs become more viable for viewer-facing content.
  • Localization workflows may shift toward smaller teams focused on review, rights management, and quality control, while voice talent and traditional dubbing vendors are pushed toward work where human performance or adaptation remains differentiated.

Third-order effects

  • If quality holds across languages and content types, dubbing becomes an increasingly standard distribution layer for global video catalogs rather than a costly, title-by-title localization decision.
  • The competitive center of AI audio is likely to move from generating a plausible voice to controlling consent, voice rights, editorial review, and consistent performance across a full multilingual production workflow.

The trend: This is one data point in the shift from experimental AI translation tools to production-oriented audiovisual localization systems for creators and streaming platforms.

Discussion

  • @rehensina @rehensina on x
    ElevenLabs just launched Dubbing v2 Alpha. The model can translate speech across languages while preserving the speaker's emotion, tone, and delivery. Content that once felt lost in translation can now feel native anywhere. A major step forward for global creators.
  • @kayvonjafar Kayvon Jafarzadeh on x
    elevenlabs just dropped dubbing v2 alpha. it can translate speech into any language while keeping the original emotion. big for creators. [image]
  • @mokusa09 @mokusa09 on x
    ElevenLabs just dropped Dubbing v2. 🤯 This isn't another flat AI voice swap. For the first time, the original actor's emotion, timing, tone, and performance actually survive the translation. The model conditions directly on the real delivery — not a sterile transcript.
  • @altryne Alex Volkov on x
    🤯 Language barriers? Where we're going we won't have any language barriers Dubbing v2 by @ElevenLabs blew my mind so much I had to stop editing @thursdai_pod and show you (100% not paid lol) it's insane, it understands tonality, emotion, does voice transfer & even accent!? [video…
  • @0xaneri Aneri on x
    Introducing Dubbing v2. For the first time, AI dubbing preserves how something was said, not just what was said. Dubbing v2 reads the original audio directly rather than just the transcript, so your emotion, tone, and delivery carries across 100+ languages. Every system before [v…
  • @elevenlabs @elevenlabs on x
    Introducing Dubbing v2, our revolutionary new dubbing model. For the first time, the emotion and performance of the original content is carried over into every language. [video]
  • @samuelroy_ Samuel Roy on x
    Looks awesome and then you check the pricing. For $22/month you got 9 minutes of Dubbing v2. 😭
  • @carles_reina Carles Reina on x
    Introducing @ElevenLabs Dubbing V2, the world's SOTA model for high-quality dubbing. ▪️ This is an Audio-to-Audio model that preserves emotion & intent ▪️ 90+ languages supported ▪️ Available through ElevenCreative with API coming soon Kudos to our entire Research & Engineering […
  • @lukeharries Luke Harries on x
    Dubbing v2 is now live! This is a new type of architecture - a fully end-to-end dubbing model. By conditioning on the original audio, it's able to carry over the original emotions and performance [video]
  • @surkopu Surendra Koutarapu on x
    ElevenLabs just shipped Dubbing v2. For the first time, the emotion of the original audio carries into every language. Not just the words. The tone. The pauses. The pain. The laugh. 90 plus languages and accents supported. One click. The geographic ceiling on creator income
  • @angy_knill Angy Knill on x
    ElevenLabs was founded to solve flat, emotionless dubbing. Dubbing V2 gets us pretty close to human level!
  • @vaibhavsisinty Vaibhav Sisinty on x
    Dubbing is officially dead. 🔥 ElevenLabs just shipped Dubbing v2 and it solves the one problem AI dubbing could never crack. Every dubbed video until today sounded flat. Robotic. Dead. Because every tool translated the transcript, not the performance. Dubbing v2 conditions
  • @wesroth Wes Roth on x
    ElevenLabs launched Dubbing v2, a new AI dubbing model designed to preserve the emotion, tone, and performance of the original content across 90+ languages. Dubbing v2 is built to solve one of the biggest problems in AI dubbing: flat, unnatural audio that loses the original [vide…
  • @jenniferhli Jennifer Li on x
    No more uncanny valley, no more language boundary. ElevenLabs Dubbing v2 is here.
  • @itssandrakublik Sandra Kublik on x
    A little over a year ago @MrBeast told Zuck on @ColinandSamir that broken dubbing, which doesn't carry well the culture, vibe and meaning from English to Spanish is the biggest barrier to his growth as a creator on Meta. Creator distribution just got an incredible upgrade.