India's voice AI race has a new contender. Sarvam AI has launched Saaras V4, its latest automatic speech recognition (ASR) model, designed to transcribe speech across Indian languages, English, regional accents and noisy environments.&nbsp;The model can produce transcripts in five formats, including verbatim text, translation and code-mixed language output. Sarvam says it can also identify spoken languages automatically and process audio in real time, with streaming latency below 150 milliseconds. The launch targets a major challenge for voice technology in India: understanding people who switch between languages, speak with regional accents or use everyday expressions that traditional transcription systems can struggle with.<h2>Sarvam Saaras V4 brings five speech output modes</h2>Saaras V4 can convert the same audio into five different formats: verbatim transcription, normalised text, code-mixed text, transliteration and translation. This means developers can choose whether to preserve exactly what someone says, clean up the text, write spoken words in another script or translate them into another language. Sarvam says these functions are built into the model, rather than requiring separate systems to process the transcript afterwards. The model combines an audio encoder with a 3-billion-parameter hybrid state-space language model. It is designed to handle code-switching, dialect differences and background noise.&nbsp;<h2>22 Indian languages and a focus on accuracy</h2>Saaras V4 can automatically identify a spoken language and transcribe it in the corresponding native script. On verified IndicVoices data, Sarvam reports a language identification error rate of 5.22% across 22 Indian languages, falling to 2.9% across the 10 most widely spoken languages in its evaluation. For English, the company says Saaras V4 recorded the lowest average word error rate across seven benchmarks covering Indian English, international accents, meetings, financial conversations and media. The model was also tested on the Vistaar benchmark across 10 Indian languages. These are company-reported results, and performance in everyday use may vary depending on accents, recording quality and background noise.&nbsp;<h2>Faster voice AI for developers</h2>Sarvam says Saaras V4 supports streaming with time to first token below 150 milliseconds, alongside long-form audio processing. It also includes keyterm prompting, allowing developers to supply names, product terms and acronyms that may otherwise be difficult for speech recognition systems to identify. Developers can access the model through Sarvam AI's API, with Python and Node.js SDKs. Integrations include Vercel AI SDK, LiveKit Agents and Pipecat Agents. The launch could support applications such as voice assistants, multilingual customer service, meeting transcription and real-time translation. However, the announcement does not establish pricing, independent benchmark results or how the model compares with competing systems in real-world deployments.

Sarvam AI has launched Saaras V4, a speech recognition model supporting 22 Indian languages and five output formats. With code-mixed speech support and streaming latency below 150 milliseconds, it targets real-time voice applications and developers.

India's voice AI race has a new contender. Sarvam AI has launched Saaras V4, its latest automatic speech recognition (ASR) model, designed to transcribe speech across Indian languages, English, regional accents and noisy environments. The model can produce transcripts in five formats, including verbatim text, translation and code-mixed language output. Sarvam says it can also identify spoken languages automatically and process audio in real time, with streaming latency below 150 milliseconds. The launch targets a major challenge for voice technology in India: understanding people who switch between languages, speak with regional accents or use everyday expressions that traditional transcription systems can struggle with. Sarvam Saaras V4 brings five speech output modes Saaras V4 can convert the same audio into five different formats: verbatim transcription, normalised text, code-mixed text, transliteration and translation. This means developers can choose whether to preserve exactly what someone says, clean up the text, write spoken words in another script or translate them into another language. Sarvam says these functions are built into the model, rather than requiring separate systems to process the transcript afterwards. The model combines an audio encoder with a 3-billion-parameter hybrid state-space language model. It is designed to handle code-switching, dialect differences and background noise. 22 Indian languages and a focus on accuracy Saaras V4 can automatically identify a spoken language and transcribe it in the corresponding native script. On verified IndicVoices data, Sarvam reports a language identification error rate of 5.22% across 22 Indian languages, falling to 2.9% across the 10 most widely spoken languages in its evaluation. For English, the company says Saaras V4 recorded the lowest average word error rate across seven benchmarks covering Indian English, international accents, meetings, financial conversations and media. The model was also tested on the Vistaar benchmark across 10 Indian languages. These are company-reported results, and performance in everyday use may vary depending on accents, recording quality and background noise. Faster voice AI for developers Sarvam says Saaras V4 supports streaming with time to first token below 150 milliseconds, alongside long-form audio processing. It also includes keyterm prompting, allowing developers to supply names, product terms and acronyms that may otherwise be difficult for speech recognition systems to identify. Developers can access the model through Sarvam AI's API, with Python and Node.js SDKs. Integrations include Vercel AI SDK, LiveKit Agents and Pipecat Agents. The launch could support applications such as voice assistants, multilingual customer service, meeting transcription and real-time translation. However, the announcement does not establish pricing, independent benchmark results or how the model compares with competing systems in real-world deployments.

Sarvam AI has launched Saaras V4, a speech recognition model supporting 22 Indian languages and five output formats. With code-mixed speech support and streaming latency below 150 milliseconds, it targets real-time voice applications and developers.

Sarvam AI launches Saaras V4: 5 features that set the new AI model apart

At the India AI Impact Summit, Sarvam AI highlighted India’s efforts to strengthen AI sovereignty by fostering homegrown artificial intelligence solutions and reducing reliance on foreign technologies. The discussion focused on building domestic AI infrastructure, promoting innovation, and ensuring ethical, secure, and self-reliant AI development to drive India’s technological and economic growth.


India AI Impact Summit: Sarvam AI on India's AI Sovereignty Push

Prime Minister Narendra Modi was seen wearing a sleek, spectacles-like device similar to a movie, at the the AI Impact Summit 2026. India is hosting the event at Delhi's Bharat Mandapam from February 16 to 20, welcoming leaders from across the nations. Major players from the technology industry, along with top policy makers, will also attend the five-day event focused on Artificial Intelligence.<h3>What is Sarvam Kaze?</h3>'Sarvam Kaze' is an indigenous AI-powered wearable glass that listens, understands, and captures what users see the world through their eyes in real time. The device supports more than 10 Indian languages, enabling voice-based interaction and potentially real-time translation.&nbsp;Sarvam AI, one of the 12 indigenous AI models being developed for India-specific applications, has introduced a wearable spectacles-like device that listens, understands, responds, and visually captures what the user sees. Users can also create customised experiences through the Sarvam platform. Named Sarvam Kaze, the device has been entirely designed and developed in India.&nbsp;Sarvam AI is building large language and speech models tailored for Indian languages, aimed at enabling voice-based interfaces, document processing, and citizen-centric services. The company said these innovations represent a major inflexion point for humanity.&nbsp;Among them were Sarvam Akshar, which delivers state-of-the-art accuracy enabling reliable digitisation of complex, real-world documents. Another innovation was Sarvam Studio, which helps creators go multilingual, one piece of content, across every corner of India. Saaras V3, a speech recognition model, was unveiled recently, among a host of others.&nbsp;Along with the wearable, Sarvam AI has launched 11 other AI platforms and solutions in recent weeks. The gadget includes Sarvam Akshar, which enables highly accurate digitisation of complex real-world documents. Other offerings also include Sarvam Studio, designed to help creators produce multilingual content easily across India, and Saaras V3, an advanced speech recognition model, among several other offerings.&nbsp;Also read: <a href="https://www.wionews.com/india-news/-big-economic-turmoil-ahead-anthropic-ceo-calls-for-smarter-ai-policies-in-india-1771314354785">‘Big economic turmoil ahead’: Anthropic CEO calls for smarter AI policies in India</a>

Sarvam AI is an indigenous AI model that is developed for India-specific applications. It has introduced a wearable spectacles-like device named ‘Sarvam Kaze’ that listens, understands, responds, and visually captures what the user sees.

Prime Minister Narendra Modi was seen wearing a sleek, spectacles-like device similar to a movie, at the the AI Impact Summit 2026. India is hosting the event at Delhi's Bharat Mandapam from February 16 to 20, welcoming leaders from across the nations. Major players from the technology industry, along with top policy makers, will also attend the five-day event focused on Artificial Intelligence. What is Sarvam Kaze? 'Sarvam Kaze' is an indigenous AI-powered wearable glass that listens, understands, and captures what users see the world through their eyes in real time. The device supports more than 10 Indian languages, enabling voice-based interaction and potentially real-time translation. Sarvam AI, one of the 12 indigenous AI models being developed for India-specific applications, has introduced a wearable spectacles-like device that listens, understands, responds, and visually captures what the user sees. Users can also create customised experiences through the Sarvam platform. Named Sarvam Kaze, the device has been entirely designed and developed in India. Sarvam AI is building large language and speech models tailored for Indian languages, aimed at enabling voice-based interfaces, document processing, and citizen-centric services. The company said these innovations represent a major inflexion point for humanity. Among them were Sarvam Akshar, which delivers state-of-the-art accuracy enabling reliable digitisation of complex, real-world documents. Another innovation was Sarvam Studio, which helps creators go multilingual, one piece of content, across every corner of India. Saaras V3, a speech recognition model, was unveiled recently, among a host of others. Along with the wearable, Sarvam AI has launched 11 other AI platforms and solutions in recent weeks. The gadget includes Sarvam Akshar, which enables highly accurate digitisation of complex real-world documents. Other offerings also include Sarvam Studio, designed to help creators produce multilingual content easily across India, and Saaras V3, an advanced speech recognition model, among several other offerings. Also read: ‘Big economic turmoil ahead’: Anthropic CEO calls for smarter AI policies in India

Sarvam AI is an indigenous AI model that is developed for India-specific applications. It has introduced a wearable spectacles-like device named ‘Sarvam Kaze’ that listens, understands, responds, and visually captures what the user sees.

What is Sarvam Kaze? India's first indigenous glasses PM Modi wore at AI Impact Summit 2026

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Sarvam AI launches Saaras V4: 5 features that set the new AI model apart

India AI Impact Summit: Sarvam AI on India's AI Sovereignty Push

What is Sarvam Kaze? India's first indigenous glasses PM Modi wore at AI Summit