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India is a voice-first nation: countless languages, scripts, and accents. Introducing Indic-Transcribe: built to understand India as she actually speaks. Built by @BodhanAI and @AI4Bharat. 🎙️ 1.2B params · 26 languages + English Live on 05.09.2026

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Mitesh Khapra

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150,805 görüntüleme • 23 gün önce •via X (Twitter)

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No Indian idea should have to wait for translation. Introducing Indic-Translate: built to carry meaning across India's languages. Built by @BodhanAI & AI4Bharat. 22 languages, both directions · 32K context, whole documents at once Live on · 05.09.2026
3:51

No Indian idea should have to wait for translation. Introducing Indic-Translate: built to carry meaning across India's languages. Built by @BodhanAI & AI4Bharat. 22 languages, both directions · 32K context, whole documents at once Live on · 05.09.2026

Mitesh Khapra

129,819 görüntüleme • 19 gün önce

Text (Indic-Translate). Speech (Indic-Transcribe). Now vision. IndicOCR, the new kid on the block. Built by AI4Bharat and BodhanAI Handwritten notes, degraded archives, 9+ scripts, all in a 0.8B model that holds its own against models 4-5x its size. Live 05.09.2026. Short video here 👇 full version in the reply.
0:41

Text (Indic-Translate). Speech (Indic-Transcribe). Now vision. IndicOCR, the new kid on the block. Built by AI4Bharat and BodhanAI Handwritten notes, degraded archives, 9+ scripts, all in a 0.8B model that holds its own against models 4-5x its size. Live 05.09.2026. Short video here 👇 full version in the reply.

Mitesh Khapra

192,062 görüntüleme • 15 gün önce

Transcribe. Translate. Recognise. And now — Synthesise. Introducing Indic-Speak: 4B params, 23 languages, one model. Built by BodhanAI and AI4Bharat There's a bit in this video where two speakers, Parth and Dhara, have a podcast style conversation about "Attention Is All You Need" in Hindi — generated in a single pass, no stitching two voices together after the fact. Doesn't sound like TTS (worth checking out in the video). Also handles code-mixed speech naturally, gets PAN/Aadhaar/currency right, and reads a full Tamil audiobook chapter without losing the thread. Live on 05.09.2026 on BodhanAI
3:53

Transcribe. Translate. Recognise. And now — Synthesise. Introducing Indic-Speak: 4B params, 23 languages, one model. Built by BodhanAI and AI4Bharat There's a bit in this video where two speakers, Parth and Dhara, have a podcast style conversation about "Attention Is All You Need" in Hindi — generated in a single pass, no stitching two voices together after the fact. Doesn't sound like TTS (worth checking out in the video). Also handles code-mixed speech naturally, gets PAN/Aadhaar/currency right, and reads a full Tamil audiobook chapter without losing the thread. Live on 05.09.2026 on BodhanAI

Mitesh Khapra

130,298 görüntüleme • 8 gün önce

Different languages. Different accents. One voice experience built to understand them. At the #HUMAIN booth at #LEAP26, visitors put HUMAIN Voice to the test, recording their own voices, in their own languages and accents, and experiencing how AI can make every interaction feel more natural and human. This is voice AI built for the way the world speaks. #LEAP26 #TheEndOfLimits
1:04

Different languages. Different accents. One voice experience built to understand them. At the #HUMAIN booth at #LEAP26, visitors put HUMAIN Voice to the test, recording their own voices, in their own languages and accents, and experiencing how AI can make every interaction feel more natural and human. This is voice AI built for the way the world speaks. #LEAP26 #TheEndOfLimits

HUMAIN

29,203 görüntüleme • 5 gün önce

Introducing Indic-Parler TTS - Trained on 10K hours of data, 938M params, supports 20 Indic languages, emotional synthesis, apache 2.0 licensed! 🔥 A collaboration w/ AI4Bharat & Hugging Face - w/ fully customisable speech and voice personas! Try it out directly below or use the model weights as you want! 🇮🇳/acc
1:06

Introducing Indic-Parler TTS - Trained on 10K hours of data, 938M params, supports 20 Indic languages, emotional synthesis, apache 2.0 licensed! 🔥 A collaboration w/ AI4Bharat & Hugging Face - w/ fully customisable speech and voice personas! Try it out directly below or use the model weights as you want! 🇮🇳/acc

Vaibhav (VB) Srivastav

42,184 görüntüleme • 1 yıl önce

We're introducing two new transcription models in the API: • GPT-Live-Transcribe: built for low-latency live transcription. • GPT-Transcribe: optimized for asynchronous transcription of completed audio files and batch workloads. Both models better understand context and deliver more accurate transcription on real world audio across accents and languages, including for short phrases, numbers, specialized terminology, and speech with loud background noise.
2:11

We're introducing two new transcription models in the API: • GPT-Live-Transcribe: built for low-latency live transcription. • GPT-Transcribe: optimized for asynchronous transcription of completed audio files and batch workloads. Both models better understand context and deliver more accurate transcription on real world audio across accents and languages, including for short phrases, numbers, specialized terminology, and speech with loud background noise.

OpenAI Developers

453,408 görüntüleme • 1 ay önce

Introducing Indic Parler-TTS: Open-Source Text-to-Speech for Over a Billion Indic Speakers! 🌏 In collaboration with Hugging Face, we are excited to release Indic Parler-TTS, a state-of-the-art open-source text-to-speech system designed to bring accessible and high-quality speech technology to India’s diverse linguistic community. Supporting 20 of the 22 scheduled Indian languages—and English in various accents (US, British, Indian)—it’s built to serve over a billion speakers and empower companies, developers, researchers, and communities. Why Indic Parler-TTS Stands Out: 1. Open and Accessible: Fully open-source with permissive licensing for unrestricted usage. 2. Wide Language Support: Includes a vast range of Indic languages, with rich diversity in voices. 3. High-Quality Audio: Produces natural, clear, and lifelike speech. 4. Adaptable and Fine-Tunable: Customize it to new languages, accents, or specific applications. 5. State-of-the-Art Performance: Proven through rigorous evaluation. 6. Versatile and Inclusive: Indic Parler-TTS offers 69 unique voices across 18 Indian languages, making it a perfect fit for diverse use cases like audiobooks, virtual assistants, and educational tools. Let's democratize speech technology together and make speech technology more inclusive and accessible for everyone. ▶️ Experience it now: Demo: Model page:
1:06

Introducing Indic Parler-TTS: Open-Source Text-to-Speech for Over a Billion Indic Speakers! 🌏 In collaboration with Hugging Face, we are excited to release Indic Parler-TTS, a state-of-the-art open-source text-to-speech system designed to bring accessible and high-quality speech technology to India’s diverse linguistic community. Supporting 20 of the 22 scheduled Indian languages—and English in various accents (US, British, Indian)—it’s built to serve over a billion speakers and empower companies, developers, researchers, and communities. Why Indic Parler-TTS Stands Out: 1. Open and Accessible: Fully open-source with permissive licensing for unrestricted usage. 2. Wide Language Support: Includes a vast range of Indic languages, with rich diversity in voices. 3. High-Quality Audio: Produces natural, clear, and lifelike speech. 4. Adaptable and Fine-Tunable: Customize it to new languages, accents, or specific applications. 5. State-of-the-Art Performance: Proven through rigorous evaluation. 6. Versatile and Inclusive: Indic Parler-TTS offers 69 unique voices across 18 Indian languages, making it a perfect fit for diverse use cases like audiobooks, virtual assistants, and educational tools. Let's democratize speech technology together and make speech technology more inclusive and accessible for everyone. ▶️ Experience it now: Demo: Model page:

AI4Bharat

28,681 görüntüleme • 1 yıl önce

Everyone is still asking if India can build its own AI. Sarvam stopped asking and shipped it. Raised $234M building India-first LLMs. 10 million API calls a day. Half a million hours of audio transcribed a month. In languages no global model bothered to learn. Built from India. Built for the world. Here's their story:
6:15

Everyone is still asking if India can build its own AI. Sarvam stopped asking and shipped it. Raised $234M building India-first LLMs. 10 million API calls a day. Half a million hours of audio transcribed a month. In languages no global model bothered to learn. Built from India. Built for the world. Here's their story:

rvivek

137,003 görüntüleme • 2 ay önce

Introducing Scribe v2 Realtime – the most accurate real-time Speech to Text model. Built for voice agents, meeting notetakers, and live applications, it transcribes in 150ms across 90+ languages, including English, French, German, Italian, Spanish, Portuguese, Hindi, and Japanese. Available today by API and through ElevenLabs Agents.
1:21

Introducing Scribe v2 Realtime – the most accurate real-time Speech to Text model. Built for voice agents, meeting notetakers, and live applications, it transcribes in 150ms across 90+ languages, including English, French, German, Italian, Spanish, Portuguese, Hindi, and Japanese. Available today by API and through ElevenLabs Agents.

ElevenLabs

318,345 görüntüleme • 10 ay önce

Introducing Realtime TTS-2, a new generation of voice model built for realtime conversation. It is the first voice model that hears the conversation, takes natural-language voice direction, holds one voice identity across over 100 languages, and speaks like a person who is paying attention. The result is voice AI that feels as good as it sounds. Try it out: Learn More:
2:06

Introducing Realtime TTS-2, a new generation of voice model built for realtime conversation. It is the first voice model that hears the conversation, takes natural-language voice direction, holds one voice identity across over 100 languages, and speaks like a person who is paying attention. The result is voice AI that feels as good as it sounds. Try it out: Learn More:

Inworld AI

327,238 görüntüleme • 4 ay önce

A very happy 80th Independence Day to India, from team Cartesia! 🇮🇳 Coming closer to home with Sonic 3.6, we're making every one of India's languages more natural, expressive, and accurate: - Hindi that flows the way you speak it - Hinglish that switches without missing a beat - Naturalness gains across all 9 existing Indic languages - Plus two new languages: Urdu and Odia Every voice in this video generated by Sonic.
0:49

A very happy 80th Independence Day to India, from team Cartesia! 🇮🇳 Coming closer to home with Sonic 3.6, we're making every one of India's languages more natural, expressive, and accurate: - Hindi that flows the way you speak it - Hinglish that switches without missing a beat - Naturalness gains across all 9 existing Indic languages - Plus two new languages: Urdu and Odia Every voice in this video generated by Sonic.

Cartesia

110,964 görüntüleme • 26 gün önce

Vatal Nagaraj, a Kannada activist demands the police warrant served to him should be in Kannada. He doesn't understand English. Why are we depending on English for administrative service ? As long as Hindi/ English imposition prevails in India, native languages can't grow.
0:46

Vatal Nagaraj, a Kannada activist demands the police warrant served to him should be in Kannada. He doesn't understand English. Why are we depending on English for administrative service ? As long as Hindi/ English imposition prevails in India, native languages can't grow.

Ethnic Kannadiga

107,599 görüntüleme • 5 ay önce

VIDEO | "In India, 97% of people use one of the 22 constitutionally recognized languages as their mother tongue. 19,500 languages and dialects are used as mother tongues. This is the 'Unity in Diversity' of our great nation. Amit Shah, PM Modi and gang will never understand this," says AITC Rajya Sabha leader Derek O'Brien (Derek O'Brien | ডেরেক ও'ব্রায়েন) on Home Minister Amit Shah's reported remarks on English. (Full video available on PTI Videos -
0:42

VIDEO | "In India, 97% of people use one of the 22 constitutionally recognized languages as their mother tongue. 19,500 languages and dialects are used as mother tongues. This is the 'Unity in Diversity' of our great nation. Amit Shah, PM Modi and gang will never understand this," says AITC Rajya Sabha leader Derek O'Brien (Derek O'Brien | ডেরেক ও'ব্রায়েন) on Home Minister Amit Shah's reported remarks on English. (Full video available on PTI Videos -

Press Trust of India

10,506 görüntüleme • 1 yıl önce

At 9, he has memorised the Bhagavad Gita, learnt 4,000 sutras of Panini’s Ashtadhyayi, speaks multiple languages, and even built his own app. ✨ Ancient wisdom. Young minds. New-age technology. 🇮🇳 The future of India is bright!
1:53

At 9, he has memorised the Bhagavad Gita, learnt 4,000 sutras of Panini’s Ashtadhyayi, speaks multiple languages, and even built his own app. ✨ Ancient wisdom. Young minds. New-age technology. 🇮🇳 The future of India is bright!

The Art of Living

13,294 görüntüleme • 9 gün önce

.Governor Tim Walz America was built by immigrants, and our cultural diversity is a strength. But once here legally, assimilation matters: English is our official language (as designated in 2025), the common thread for civic life, work, and unity. Native languages belong at home and with friends — adaptation builds a stronger nation. Thoughts 🤔
0:45

.Governor Tim Walz America was built by immigrants, and our cultural diversity is a strength. But once here legally, assimilation matters: English is our official language (as designated in 2025), the common thread for civic life, work, and unity. Native languages belong at home and with friends — adaptation builds a stronger nation. Thoughts 🤔

Erica 🇺🇸🇺🇸🇺🇸

15,366 görüntüleme • 8 ay önce

Hello world🔥🚀! I am excited to announce the release of YarnGPT, YarnGPT is a family of open source text to speech models built for Nigerian🇳🇬 accented English (YarnGPT) and native languages (YarnGPT-local). It was built on top of SmolLM2-360M by Hugging Face A thread🧵...
1:45

Hello world🔥🚀! I am excited to announce the release of YarnGPT, YarnGPT is a family of open source text to speech models built for Nigerian🇳🇬 accented English (YarnGPT) and native languages (YarnGPT-local). It was built on top of SmolLM2-360M by Hugging Face A thread🧵...

Saheedniyi

236,781 görüntüleme • 1 yıl önce

Hellen Mtawali, a prominent Kenyan musician, voice coach, and former Tusker Project Fame judge, can speak 16 languages. She is widely recognized as a hyperpolyglot - a person who can speak, read, or understand a very large number of languages, generally defined as six or more.
1:39

Hellen Mtawali, a prominent Kenyan musician, voice coach, and former Tusker Project Fame judge, can speak 16 languages. She is widely recognized as a hyperpolyglot - a person who can speak, read, or understand a very large number of languages, generally defined as six or more.

The Kenyan Vigilante

55,978 görüntüleme • 4 ay önce

India is accelerating its sovereign AI mission with homegrown models built for local languages and governance needs. Bengaluru-based Sarvam AI has launched Sarvam Vision, an OCR system for complex paper records, and Bulbul, a text-to-speech model spanning 11 Indian languages. Sarvam claims its OCR beat Google Gemini on a benchmark. Backed by government funding, the programme aims to cut dependence on foreign AI systems. Watch this report. 🔽
5:05

India is accelerating its sovereign AI mission with homegrown models built for local languages and governance needs. Bengaluru-based Sarvam AI has launched Sarvam Vision, an OCR system for complex paper records, and Bulbul, a text-to-speech model spanning 11 Indian languages. Sarvam claims its OCR beat Google Gemini on a benchmark. Backed by government funding, the programme aims to cut dependence on foreign AI systems. Watch this report. 🔽

BJP

34,446 görüntüleme • 7 ay önce

Kogta Financial, one of India's fastest growing retail-focused NBFCs, serves 100,000+ borrowers across 300+ branches pan India. Debt collection in India is incredibly diverse. Borrowers switch between languages, dialects, and local ways of speaking. Even a single mispronounced number can change the outcome of a call. That's exactly the challenge they set out to solve. Kogta Financial (I) Ltd built their collections agents entirely on Smallest AI's voice stack, giving them native support for rural accents, mixed-language speech, and numbers spoken in regional languages. The impact: - 15M+ calls placed, with high value EMIs settled during the call itself. - 130+ concurrent calls at a 0.2% failure rate.
5:35

Kogta Financial, one of India's fastest growing retail-focused NBFCs, serves 100,000+ borrowers across 300+ branches pan India. Debt collection in India is incredibly diverse. Borrowers switch between languages, dialects, and local ways of speaking. Even a single mispronounced number can change the outcome of a call. That's exactly the challenge they set out to solve. Kogta Financial (I) Ltd built their collections agents entirely on Smallest AI's voice stack, giving them native support for rural accents, mixed-language speech, and numbers spoken in regional languages. The impact: - 15M+ calls placed, with high value EMIs settled during the call itself. - 130+ concurrent calls at a 0.2% failure rate.

smallest.ai

319,177 görüntüleme • 1 ay önce

"If India were as well organised as China, it would be going at a different speed. India is not one nation but many nations. It has 320 languages and no PM can speak in a language that is understood everywhere in India. You can do that in China," said ex-Singapore PM Lee Kuan Yew
0:42

"If India were as well organised as China, it would be going at a different speed. India is not one nation but many nations. It has 320 languages and no PM can speak in a language that is understood everywhere in India. You can do that in China," said ex-Singapore PM Lee Kuan Yew

Shashank Mattoo

1,076,927 görüntüleme • 8 ay önce