Shunya Labs has launched an end-to-end voice AI platform designed to transform content localisation workflows in the entertainment industry. The platform integrates dubbing, translation, subtitling, voice cloning and lip sync capabilities into a single system, replacing traditionally fragmented processes with a unified solution.
Built on Shunya Labs’ proprietary voice AI models, the platform enables content creators and media companies to adapt content across multiple languages and formats within one ecosystem. It supports both text-to-text and speech-to-text translation, alongside multilingual and dialect variations, including code-switched speech patterns that reflect real-world language usage. This capability positions the platform as a scalable solution for global content distribution.
The launch addresses a longstanding operational challenge in media localisation, where translation, dubbing and post-production are often handled through separate tools and vendors. This fragmented approach can limit efficiency and increase turnaround times. By consolidating these functions, Shunya Labs aims to streamline workflows and enable faster, more consistent output across markets.
The platform offers advanced features designed to preserve creative integrity during localisation. It enables the generation of dubbed audio that retains tone, emotion and speaker identity, supported by phoneme-level lip synchronisation to align dialogue with on-screen visuals. Low-shot voice cloning allows voice models to be created from limited audio inputs, maintaining accent and identity across languages.
Ritu Mehrotra, co-founder and ceo, Shunya Labs, said, “Localising content at scale is not just about translating words. It requires preserving how something is said, not just what is said. Our focus has been on building a system that can recreate content across languages while maintaining tone, emotion, and identity, so that it remains authentic for different audiences.”
Beyond localisation, the platform extends into voice design and content creation. Users can configure voice models with attributes such as tone, age, accent and style, ensuring consistency across projects, episodes and languages. The system also supports script-to-audio generation, enabling content to move directly from written scripts to final audio outputs without traditional recording processes. Features such as emotion tagging further enhance expressive quality and production fidelity.
An integrated content intelligence layer adds another dimension to the platform’s offering. It includes capabilities such as scene segmentation, emotion arc detection and narrative structuring, enabling creators to generate highlights, trailers and chaptered formats. These tools are designed to support content repurposing and monetisation strategies across platforms.
The platform also incorporates compliance and discoverability features, including ad suitability checks, compliance tagging and multilingual metadata generation. Additionally, it enables search functionality within video and audio content across languages, improving accessibility and usability for both creators and audiences.
The platform reflects the growing demand for scalable localisation solutions as streaming platforms and global distribution expand. By enabling faster turnaround and consistent quality, Shunya Labs positions itself as a technology partner for media companies seeking to extend reach across linguistic markets.
With this launch, Shunya Labs moves to establish a more integrated approach to multilingual content production, combining AI-driven efficiency with creative control. The platform underscores the role of voice technology in shaping how content is adapted, distributed and consumed across regions.
