Sarvam’s ASR Translate API combines automatic speech recognition with real-time translation, making it possible to transcribe spoken content and instantly translate it into another language. This is especially useful for multilingual communication, media localization, and inclusive product experiences. With native support for India’s linguistic diversity, the API delivers accurate, context-aware translations even from noisy or spontaneous speech inputs.

Parsing is the process of analyzing a sequence of symbols—such as words in a sentence or tokens in computer code—to determine its structure and meaning according to a set of rules. In programming, parsers take input data (often text) and break it into manageable components so that the computer can understand and work with it, often based on a grammar. This step is essential in compilers, data processing, and natural language understanding, as it transforms raw input into a structured format that can be further processed or executed.

Sarvam’s Speech to Text API enables fast and accurate transcription of spoken language into written text. Whether you’re working with live audio streams or pre-recorded files, this API is designed to handle diverse Indian languages, accents, and noisy environments with ease. Built for real-world use cases like call centers, media, and accessibility solutions, it delivers high fidelity transcription while supporting custom vocabulary and domain-specific tuning.

Turn text into expressive, human-like speech using Sarvam’s Text to Speech API. Ideal for voice assistants, IVR systems, and accessibility tools, this API supports multiple Indian languages and dialects. You can choose from a range of natural voices and customize pronunciation, pacing, and pitch to suit your use case. It's optimized for performance and clarity, ensuring seamless integration into any voice-first product.