OSS voice based conversational API with <1sec latency and other nuances
Hi Hackernews, we're Maitreya, Prateek and Marmik. Over the past few months we've been working on building a platform to build, scale and monitor voice based LLM applications. Demo (https://www.youtube.com/watch?v=OSrOmyR7oQs) 1⃣ Open Source orchestration: We're open-sourcing our orchestration to quickly setup and create LLM based voice driven conversational applications https://github.com/bolna-ai/bolna/ 2⃣ Hosted API Platform: Exposing our managed solution via APIs to build voice driven applications…
OSS voice based conversational API with <1sec latency and other nuances launched on March 27, 2024 with 8 votes, #1,754 of 4,270 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
Scale customer support, sales, recruitment with Bolna Voice Agents. Inbound and outbound calls in vernacular Indian languages like English, Hindi, Hinglish.
Seamlessly Build, Test, Deploy, and Scale Conversational Voice AI Agents. Go from idea to live calls in minutes, not weeks. Have questions? Give our AI Agent a call and we'll help you get started. Create Voice AI agents for India that sound natural, understand context and take action that business oriented results without increasing your team size. Whether you're a no-code builder or a developer, Bolna makes it easy to create powerful conversational voice AI agents that understand Indian languages and accents. Build and scale multilingual voice bots using simple clicks or code control. With integrated speech, telephony, and APIs, Bolna provides everything you need to take your idea into…from bolna.dev
In the maker’s words, at launch
Hi Hackernews, we're Maitreya, Prateek and Marmik. Over the past few months we've been working on building a platform to build, scale and monitor voice based LLM applications. Demo (https://www.youtube.com/watch?v=OSrOmyR7oQs) 1⃣ Open Source orchestration: We're open-sourcing our orchestration to…
Pricing, as stated on its site
Free tier, paid plans from $0.06/mo — Pay-as-you-go credits ($10-$5000 minimum), Pilot plan at $0.06/min (6¢/min), Enterprise custom pricing. Free $5 credit on signup.
checked September 2026 · prices change
Does a similar job
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An open source framework for voice assistants2024 · github.com · ▲346I've been obsessed for the past ~year with the possibilities of talking to LLMs. I built a bunch of one-off prototypes, shared code on X, started a Meetup group in SF, and co-hosted a big hackathon. It turns out that there are a few low-level problems that everybody building conversational/real-time AI needs to solve on the way to building/shipping something that works well: low-latency media transport, echo cancellation, voice activity detection, phrase endpointing, pipelining data between models/services, handling voice interruptions, swapping out different…
Real-time AI Voice Chat at ~500ms Latency2025 · github.com · ▲524Have a natural, spoken conversation with AI! Contribute to KoljaB/RealtimeVoiceChat development by creating an account on GitHub.
Conversational Replicas by Tavus2024 · tavus.io · ▲694Hey there, I’m Brian. I've been shipping conversational models over here at Tavus for the past two years. I want to tell you about our new audio-understanding model: Sparrow-2! It’s a new category of model and a unique new approach to conversational audio. Earlier this year we launched Sparrow-1, (at the time) our SoTA turn taking model. Since our Sparrow-1 launch, I’ve spent a lot of time listening to humans talking and trying to really understand how people know when to talk, when to listen, and when to wait. I’ve also been hunting down failure modes of the current SoTA models. And while…
Conversational AI 2.0 From ElevenLabs2025 · elevenlabs.io · ▲652Luke from ElevenLabs here. We just released Scribe Realtime v2, our new real-time Speech to Text model. We rebuilt it from the ground up around a new architecture that uses predictive transcription – it anticipates the next likely word before it’s spoken. That makes it both fast (around 150 ms latency) and highly accurate. Scribe v2 Realtime outperforms every low latency transcription model across 30 commonly used EU and Asian languages – 93.5% accuracy, compared to Gemini 2.5 Flash (91.4%), GPT-4o MiniTranscribe (90.7%), and Deepgram Nova 3 (85%). It supports 90+ languages including…
WhisperFusion – Low-latency conversations with an AI chatbot2024 · github.com · ▲272WhisperFusion builds upon the capabilities of open source tools WhisperLive and WhisperSpeech to provide a seamless conversations with an AI chatbot.
Project S.A.T.U.R.D.A.Y. – open-source, self hosted, J.A.R.V.I.S.2023 · github.com · ▲121Welcome to Project S.A.T.U.R.D.A.Y. This is a project that allows anyone to easily build their own self-hosted J.A.R.V.I.S-like voice assistant. In my mind vocal computing is the future of human-computer interaction and by open sourcing this code I hope to expedite us on that path. I have had a blast working on this so far and I'm excited to continue to build with it. It uses whisper.cpp [1], Coqui TTS [2] and OpenAI [3] to do speech-to-text, text-to-text and text-to-speech inference all 100% locally (except for text-to-text). In the future I plan to swap out OpenAI for llama.cpp [4]. It is…
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