Bengaluru-based startup Sarvam AI officially launched Sarvam Studio, a comprehensive platform designed for high-fidelity multilingual content creation. The launch is a key part of Sarvam’s “Drop 12/14” event, where they unveiled several new technologies as part of India’s push for Sovereign AI.
Sarvam Studio is built to move content across languages and formats without losing the original’s quality, meaning, or structure.
Core Capabilities of Sarvam Studio
The platform acts as an “intelligence layer” for content teams, combining voice, text, and document workflows into a single workspace.
- AI Video Dubbing: Generates high-fidelity dubs in 11 Indian languages while preserving the original speaker’s identity and voice characteristics. It uses intrinsic duration control so that translated speech fits the video timeline naturally without distorting the rhythm.
- Agentic Document Translation: Translates long-form and structured documents (like textbooks, legal papers, or novels) while retaining complex layouts, tables, and page hierarchies.
- Multilingual Publishing: Allows teams to publish content at scale across 11 languages (with plans to expand to all 22 scheduled languages) without duplicating manual efforts.
- Structured Workflows: Content can be reviewed, edited, and regenerated through “agentic” loops, ensuring that experts can validate large volumes of work efficiently.
Technical Foundation & Benchmarks
Sarvam Studio is powered by the company’s latest frontier models, which were also updated during the launch:
| Component | Technology | Significance |
| Speech-to-Text | Saaras V3 | Supports all 22 languages; handles noisy speech and mixed languages (code-switching). |
| Text-to-Speech | Bulbul V3 | Offers 35+ professional voices with native-level prosody and accent optimization. |
| Document Vision | Sarvam Vision | A 3B-parameter model that outperforms global giants like Gemini 3 Pro in parsing Indian scripts. |
| Translation | Sarvam-Translate | Built on Google’s Gemma 3; optimized for token efficiency in Indic languages. |
Availability & Beta Program
Sarvam Studio is currently being rolled out through a controlled early beta program.
- Target Sectors: Government, education, media, and publishing houses.
- Current Language Support: 11 major Indian languages (Hindi, Tamil, Telugu, Malayalam, Kannada, Bengali, Gujarati, Marathi, Odia, Punjabi, and English).
- Enterprise Focus: Sarvam is offering scalable, on-premise deployments for businesses requiring strict data privacy and compliance.
“Translation moves words. True content transformation carries meaning, structure, and intent intact. Sarvam Studio is built to make that movement seamless.” — Sarvam AI Blog.
