AI · alternatives · 2026
24 alternatives to Inworld TTS
Hey 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…
Inworld TTS is a text-to-speech AI tool designed for developers working with voice applications. It delivers real-time, multilingual speech synthesis at significantly lower costs than competing models, with free voice… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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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 →
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Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
2025 · github.com · its alternatives →
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MARS5 TTS▲489Open-source, insanely prosodic text-to-speech model
2024 · github.com · its alternatives →
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First TTS model to support all 22 Indic languages + English
2024 · its alternatives →
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Premium AI voice quality without the premium price tag.
2025 · async.com · its alternatives →
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Tighter instruction adherence in speech agents
Feb 2026 · developers.openai.com · its alternatives →
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High-quality voice clones with just 60 seconds of audio
2023 · wavel.ai · its alternatives →
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Last year when GPT-4 was released I started making lots of little voice + LLM experiments. Voice interfaces are fun; there are several interesting new problem spaces to explore. I'm convinced that voice is going to be a bigger and bigger part of how we all interact with generative AI. But one thing that's hard, today, is building voice bots that respond as quickly as humans do in conversation. A 500ms voice-to-voice response time is just barely possible with today's AI models. You can get down to 500ms if you: host transcription, LLM inference, and voice generation all together in one place;…
2024 · fastvoiceagent.cerebrium.ai · its alternatives →
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Octave TTS▲282Describe any AI voice and prompt its emotional delivery
2025 · hume.ai · its alternatives →
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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 →
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OpenWispr▲190100% local open source AI speech-to-text model
2025 · openwhispr.com · its alternatives →
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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 →
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Wavel AI▲289Most realistic and natural AI voiceover & dubbing for videos
2023 · wavel.ai · its alternatives →
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Orpheus TTS▲152Open-source TTS with emotion & voice cloning
2025 · canopylabs.ai · its alternatives →
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The audio/TTS space just moved fast. In the last week alone: NVIDIA – PersonaPlex-7B Open-source, full-duplex conversational speech model. Inworld AI – TTS-1.5 Realtime TTS (<250ms), $0.005/min, currently #1 on Artificial Analysis. Flash Labs – Chroma 1.0 First open-source, end-to-end, real-time speech-to-speech model. Alibaba Qwen – Qwen3-TTS Fully open-sourced TTS family: Base, CustomVoice, VoiceDesign. Kyutai Labs – Pocket TTS Runs locally on a laptop. No GPU required. Feels like TTS is hitting the same acceleration moment LLMs had last year. Realtime, open-source, and local is…
Jan 2026 · github.com · its alternatives →
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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 →
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Zyphra Zonos▲134Highly expressive TTS model with high fidelity voice cloning
2025 · zyphra.com · its alternatives →
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AchiHub▲18Bulk AI voice cloning & TTS for content creators.
May 2026 · achihub.com · its alternatives →
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KugelAudio▲106Real-time text-to-speech model you can self-host
May 2026 · kugelaudio.com · its alternatives →
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TLDR: We created a personalised Andrej Karpathy tutor that can response to questions about his Youtube videos in sub 1 second responses (voice-to-voice). We do this using a voice enabled RAG agent. See later in the post for demo link, Github Repo and blog write up. A few weeks ago we released the worlds fastest voice bot, achieving 500ms voice-to-voice response times, including a 200ms delay waiting for a user to stop speaking. After reaching the front page of HN, we thought about how we could take this a step further based on feedback we were getting from the community. Many companies were…
2024 · educationbot.cerebrium.ai · its alternatives →
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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 →