OrcaRouter Launches OrcaDub

OrcaRouter has launched OrcaDub, a speech-to-speech video dubbing model to help creators, companies, and artificial intelligence applications localize video content naturally across languages.

OrcaDub is for production-quality multilingual video localization, with a focus on naturalness and fidelity, and for integrating video dubbing into creator tools, localization platforms, AI agents, media workflows, education products, customer support, and enterprise applications. It performs end-to-end speech-to-speech translation while preserving voice characteristics, including voice identity, emotion, prosody, timing, and lip synchronization. The platform is designed to support both synchronous and asynchronous video processing, enabling deployments ranging from short-form creator content to enterprise-scale localization pipelines.

Key capabilities of OrcaDub include the following:

• End-to-end speech-to-speech video dubbing;
• Voice identity and speaker characteristic preservation;
• Emotion and prosody transfer;
• Idiom-aware translation and localization;
• Song translation;
• Per-word forced alignment;
• Background music preservation;
• OpenAI-compatible API for easy integration.

"As video becomes the dominant medium for communication, localization should feel native—not translated," said Chris Zhang, MTS of OrcaRouter, in a statement. "OrcaDub is built to preserve the original performance while making content accessible to audiences worldwide."