Dev tools · alternatives · 2026
24 alternatives to Speech-to-speech playground for OpenAI's new Realtime API
Hi there - Ben from LiveKit here! If you’re curious about OpenAI’s brand-new Realtime API and speech-to-speech model, check out this hosted playground and play with the model yourself. If you’d like to learn more about how this came together, read on. If you’re like me, you’ve probably been wondering what novel things a model like this can do in an API setting with unfettered access to the system prompt and other parameters. I’ve been fortunate to have had early access through my work at LiveKit, where we’ve built open-source developer tooling that makes deploying this model in a production…
This is a hosted playground for experimenting with OpenAI's new Realtime API and speech-to-speech model. Built by LiveKit, it lets developers and curious users test the model directly through a web interface with… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Speech-to-speech playground for OpenAI's new Realtime API launched in 2024; newer entries below may have overtaken it.
- 1
LiveKit▲236The open source platform for real-time communication
2021 · livekit.com · its alternatives →
- 2
LiveKit Cloud▲250Build massive-scale, real-time video and audio experiences
2022 · livekit.com · its alternatives →
- 3
Hey HN, we've been working with OpenAI for the past few months on the new Realtime API. The goal is to give everyone access to the same stack that underpins Advanced Voice in the ChatGPT app. Under the hood it works like this: - A user's speech is captured by a LiveKit client SDK in the ChatGPT app - Their speech is streamed using WebRTC to OpenAI’s voice agent - The agent relays the speech prompt over websocket to GPT-4o - GPT-4o runs inference and streams speech packets (over websocket) back to the agent - The agent relays generated speech using WebRTC back to the user’s device The…
2024 · github.com · its alternatives →
- 4
- 5
Hi HN! Last year the project I launched here got a lot of good feedback on creating speech to speech AI on the ESP32. Recently I revamped the whole stack, iterated on that feedback and made our project fully open-source—all of the client, hardware, firmware code. This Github repo turns an ESP32-S3 into a realtime AI speech companion using the OpenAI Realtime API, Arduino WebSockets, Deno Edge Functions, and a full-stack web interface. You can talk to your own custom AI character, and it responds instantly. I couldn't find a resource that helped set up a reliable, secure websocket (WSS) AI…
2025 · github.com · its alternatives →
- 6
Tighter instruction adherence in speech agents
Feb 2026 · developers.openai.com · its alternatives →
- 7
- 8
I'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…
2024 · github.com · its alternatives →
- 9
Luke 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…
2025 · elevenlabs.io · its alternatives →
- 10
First TTS model to support all 22 Indic languages + English
2024 · its alternatives →
- 11
- 12
Hi HN, OpenAI recently released a model for automatic speech recognition called Whisper [0]. I decided to reimplement the inference of the model from scratch using C/C++. To achieve this I implemented a minimalistic tensor library in C and ported the high-level architecture of the model in C++. The entire code is less than 8000 lines of code and is contained in just 2 source files without any third-party dependencies. The Github project is here: https://github.com/ggerganov/whisper.cpp With this implementation I can very easily build and run the model - “make…
2022 · github.com · its alternatives →
- 13
A real-time transcription project using React and socketio - GitHub - saharmor/realtime-transcription-playground: A real-time transcription project using React and socketio
2021 · github.com · its alternatives →
- 14
Inworld TTSfree tier, from $25/mo▲318Hey HN, this is Igor, one of the engineers behind Inworld Runtime, which we're releasing today in public preview. We built it to solve the common problem we and our customers had: engineers spend more time on AI ops and plumbing than on actual feature development. This was often due to the challenge of using Python for I/O-bound, high-concurrency workloads and complexity maintaining pipelines with streams that use always-changing ML models. Our solution is a high-performance runtime written in C++ with the core idea of defining AI logic as graphs. For instance, a basic voice-to-voice…
2025 · inworld.ai · its alternatives →
- 15
The open-source framework for real-time AI voice
2025 · videosdk.live · its alternatives →
- 16
Welcome 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…
2023 · github.com · its alternatives →
- 17
Our goal with this project is to build a completely open source, state of the art turn detection model that can be used in any voice AI application. I've been experimenting with LLM voice conversations since GPT-4 was first released. (There's a previous front page Show HN about Pipecat, the open source voice AI orchestration framework I work on. [1]) It's been almost two years, and for most of that time, I've been expecting that someone would "solve" turn detection. We all built initial, pretty good 80/20 versions of turn detection on top of VAD (voice activity detection) models. And…
2025 · github.com · its alternatives →
- 18
RunInfra▲156Describe the AI model you need and get an optimized AI
Jul 2026 · runinfra.ai · its alternatives →
- 19
We built SwiftAI, an open-source Swift library that lets you use Apple’s on-device LLMs when available (Apple opened access in June), and fall back to a cloud model when they aren’t available — all without duplicating code. SwiftAI gives you: - A single, model-agnostic API - An agent/tool loop - Strongly-typed structured outputs - Optional chat state Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That…
2025 · github.com · its alternatives →
- 20PF
Hey everyone, I'm Petr. I'm excited to share LangTale Playground (https://langtale.ai/playground), a first-of-its-kind tool enabling anyone to experiment with OpenAI function calls without coding. Born out of a hackathon project, it's now a part of our broader LangTale platform aimed at tackling common developer challenges with Language Learning Models (LLM). These include prompt integration, testing and debugging, version control, auditing, and usage/cost management. Here's our tech stack: Next.js by Vercel, Tailwind CSS, OpenAI, PlanetScale's Vitess database, and the…
2023 · langtale.ai · its alternatives →
- 21
Mock interviews with OpenAI's Realtime speech-to-speech API
2024 · its alternatives →
- 22
- 23
Ojin▲106Talk to an AI Agent with a real face and voice, in real time
Aug 2026 · ojin.ai · its alternatives →
- 24PF
I was frustrated that open ai's playground lacks function calls, so I wrote my own more similar to ChatGpt! Now I can: * use the same models I program against * have access to function calls * can see how much it's costing me Side benefit: I can share my API key with a friend so they can use Gpt3.5 & 4 as open ai took their deposit but still labelled their account as free tier - mistakes happen. Prerequisite: an open ai api key https://github.com/acover288/playgpt Use at your own risk as I blindly installed npm packages.
2023 · gpt342.s3.us-east-1.amazonaws.com · its alternatives →
Also compare
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →