AI · alternatives · 2026
24 alternatives to Kitten TTS – 25MB CPU-Only, Open-Source TTS Model
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…
Kitten TTS is an open-source text-to-speech model smaller than 25 MB, designed to run on resource-limited devices like Raspberry Pi, smartphones, wearables, and browsers without requiring a GPU. It offers eight English… 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.
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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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A TTS model capable of generating ultra-realistic dialogue in one pass. - nari-labs/dia
2025 · github.com · its alternatives →
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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 →
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VoxCPM2▲110Open-source 48kHz TTS with voice design and cloning
Apr 2026 · github.com · its alternatives →
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Orpheus TTS▲152Open-source TTS with emotion & voice cloning
2025 · canopylabs.ai · its alternatives →
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I wanted to share our new speech to text model, and the library to use them effectively. We're a small startup (six people, sub-$100k monthly GPU budget) so I'm proud of the work the team has done to create streaming STT models with lower word-error rates than OpenAI's largest Whisper model. Admittedly Large v3 is a couple of years old, but we're near the top the HF OpenASR leaderboard, even up against Nvidia's Parakeet family. Anyway, I'd love to get feedback on the models and software, and hear about what people might build with it.
Feb 2026 · 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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Octave TTS▲282Describe any AI voice and prompt its emotional delivery
2025 · hume.ai · its alternatives →
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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 →
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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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KugelAudio▲106Real-time text-to-speech model you can self-host
May 2026 · kugelaudio.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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Hey guys, This is Akshat from CAMB.AI. Today's we're super pumped to introduce MARS5, a fully open-source (commercially usable) TTS with break-through prosody and realism available on our Github: https://www.github.com/camb-ai/mars5-tts Watch our release demo here: https://www.youtube.com/watch?v=bmJSLPYrKtE Why is it different? MARS5 is able to replicate performances (from 2-3s of audio reference) in 140+ languages, even for extremely tough prosodic scenarios like sports commentary, movies, anime and more; hard prosody that most closed-source and…
2024 · github.com · its alternatives →
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Mimic 3▲77Privacy-focused neural text-to-speech (TTS) engine
2022 · community.openconversational.ai · 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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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 →
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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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Optimized ESP32-S3/P4 fully offline speech to text and text to speech system for Micropython and AtomVM, featuring a finetuned STT model for noisy environments, plus a data generation/field capture/model finetuning framework. Includes high performance 4/8bit int kernels for Xtensa/RiscV PIE vector u
13d ago · github.com · 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 →