Yes. Piper costs nothing to download or use, has no account, and has no usage limits. Individual voice models can carry their own licenses, so check the model card of any voice you plan to use in a product.

Is Piper TTS open source?

Yes, the code is public on GitHub. The original rhasspy/piper repository, now archived, was listed under the MIT license; the active version, OHF-Voice/piper1-gpl, is listed under the GPL. Check the current license on the repository before you rely on it. Piper's voice documentation also notes that some voices may have more restrictive licenses, so review both the engine and voice licenses before relying on them.

Can Piper TTS clone voices?

Not from a short clip. Piper has no zero-shot voice cloning. You can create a custom voice by fine-tuning a model on a recorded dataset with transcriptions, which needs a GPU and time. For cloning from a few seconds of audio, use a tool built for it, such as Voice Creator Pro (desktop or Cloud) or Coqui XTTS.

Which Piper voices are best?

It depends on your language and your hardware, so the best approach is to listen. Piper publishes a samples page for its voices, and within any voice the "medium" and "high" quality levels sound noticeably better than "low" and "x_low," at the cost of speed. On a Raspberry Pi or similar device, pick the highest quality level that still responds fast enough for you.

Is Piper TTS still maintained in 2026?

Yes, but the project moved. The original rhasspy/piper repository was archived in October 2025, and development continues at OHF-Voice/piper1-gpl, which is installable with `pip install piper-tts`. Older guides may still point to the archived repository.

Is KittenTTS, Pocket TTS or Kokoro better than Piper?

None is better across the board. Piper has the widest language support and the best Home Assistant fit. KittenTTS offers 8 expressive voices in a model as small as 41 MB. Pocket TTS is larger (about 100M parameters), English-only, and runs faster than real-time on CPU. Kokoro is about 80 MB with natural American and British English voices. You can try KittenTTS, Pocket TTS and Kokoro free in your browser to compare them on your own text.

Can I use Piper TTS commercially?

It depends on the license of the Piper version and the specific voice you use, so verify both before shipping. The active fork is listed under the GPL, which can carry different obligations from the original MIT listing, and some voices have their own restrictions. Voice Creator Pro includes commercial rights on every tier, including the free Cloud tier.

What is a good Piper alternative for Home Assistant?

For most Home Assistant setups, Piper is still the simplest local option because it's already widely used there. KittenTTS, Pocket TTS and Kokoro are lightweight enough to run on similar hardware but would need to be integrated yourself. Voice Creator Pro is not designed to be a Home Assistant speech engine.

Does Voice Creator Pro include Piper?

No. Voice Creator Pro bundles its own models, including Qwen3-TTS and OmniVoice, for voice cloning, voice design, and text to speech. Piper is not part of it.

Best Piper TTS Alternative for Voice Cloning (2026)

Piper TTS is one of the best open-source text-to-speech engines available. It's lightweight, fast, runs on hardware as modest as a Raspberry Pi, has voices in roughly 40 languages, and powers the local voice setup of a lot of Home Assistant installs. If you want a small engine that reads text aloud on your own hardware, Piper is still a strong default.

People usually go looking for something else for one of two reasons:

They want to compare small local engines. Newer lightweight models like KittenTTS and Pocket TTS have appeared, and it's fair to ask whether they sound better than Piper on the same modest hardware. We compare all three below, and you can listen to KittenTTS and Pocket TTS in your browser in a few seconds.
They've hit Piper's limits. Piper has no zero-shot voice cloning (you can train a custom voice through fine-tuning, but you can't drop in a short clip and get a clone back) and no graphical interface. If you need either, you need a different kind of tool.

Feature details are sourced from official documentation, GitHub repositories, and product pages as of September 2026.

Piper TTS Alternatives at a Glance

The alternatives fall into two groups:

Ready to use, with no technical setup: Voice Creator Pro (a desktop app you install like any other program, or Cloud in your browser) and ElevenLabs (in your browser).
Open-source engines you set up and run yourself: Coqui XTTS, Fish Speech and Bark, which need a Python environment, model downloads, and usually a GPU.

Feature	Piper TTS	Voice Creator Pro	ElevenLabs	Coqui XTTS	Fish Speech	Bark (Suno)
Setup	`pip install`, command line	Install the app, or use Cloud in a browser	None, runs in the browser	Python environment and model download	Python environment, model weights, GPU drivers	Python environment and GPU
Pricing	Free	Desktop: from $54.99 one-time; Cloud: free tier, paid from $5/mo	Free tier; $6 to $299/mo	Free	Free (self-hosted)	Free
Voice Cloning	Only via fine-tuning	Zero-shot, from 3 to 10 seconds of audio	Yes (1 to 2 min audio)	Yes (3 to 6 seconds)	Yes, from a short reference clip	No
Works Offline	Yes	Desktop app: yes. Web: no	No	Yes	Yes	Yes
Languages	~40 (preset voices)	600+	70+	16+	80+	13+
Usage Limits	Unlimited	Desktop: unlimited; Cloud: 5K to 1.5M tokens/mo	Character caps	Unlimited	Unlimited	Unlimited
Interface	CLI, Python, web server	Desktop app; Web	Web, iOS, Android	Python API / CLI	Python / CLI	Python API / CLI

Piper TTS: What It Does Well

Piper is a fast, local neural TTS engine. You give it text, it gives you audio, and it does that quickly on very little hardware. Voices come in four quality levels (x_low, low, medium, and high), ranging from about 5 million to about 32 million parameters, so you can trade quality for speed on small devices.

Where Piper shines:

Free and local. No account, no usage caps, nothing leaves your machine.
Runs on minimal hardware. It was built for low-power devices like the Raspberry Pi, which is why it's a staple of local voice assistants.
Home Assistant fit. Piper is widely used as the local text-to-speech engine in Home Assistant voice pipelines, so it's the path of least resistance for smart home setups.
Broad language coverage for its size. Pre-trained voices cover roughly 40 languages, with several voices for major languages like English.
Easy to embed. Install it with pip install piper-tts, run it from the command line, or use it as a library or local web server.

Why people look for alternatives: no zero-shot voice cloning, no GUI, and voice quality that is clean but noticeably synthetic next to larger modern models. There's also some uncertainty about the project itself: the original repository (rhasspy/piper) was archived in October 2025, and development continues under OHF-Voice/piper1-gpl with a license change.

Piper vs KittenTTS vs Pocket TTS vs Kokoro

If you like Piper because it's small and local, these are the three newer engines worth comparing it with. All four run on modest hardware without a GPU. None of them is a voice cloning studio; they are lightweight engines for reading text aloud.

	Piper TTS	KittenTTS	Pocket TTS	Kokoro
Made by	Rhasspy, now OHF-Voice	KittenML	Kyutai Labs	hexgrad
Model size	~5M to ~32M parameters, depending on quality level	Micro: 40M parameters (41 MB); Mini: 80M parameters (80 MB)	~100M parameters (148 MB as an INT8 ONNX model)	82M parameters (~80 MB)
Voices	Large catalog of pre-trained voices	8 built-in voices	Built-in preset voices	Multiple preset voices
Languages	~40	English	English	English
Voice cloning	No (fine-tuning only)	No	The model supports it; our free browser tool uses the preset voices	No
Runs on	Raspberry Pi and up	Raspberry Pi, phones, browsers	CPU, faster than real-time	Almost any device, no GPU needed
Home Assistant	Widely used in local voice setups	You'd wire it up yourself	You'd wire it up yourself	You'd wire it up yourself
Try it in your browser	n/a	Try KittenTTS	Try Pocket TTS	Try Kokoro

Piper

Piper is the most mature and the best integrated of the three. Its big advantages are the language catalog and the ecosystem: if you run Home Assistant or need a language other than English, Piper is usually the practical choice. Its smallest voices are also tiny, which matters on very constrained devices.

KittenTTS

KittenTTS is an ultra-lightweight model built on the StyleTTS 2 architecture and optimized with ONNX runtime and quantization. It comes in two tiers: Micro for speed and Mini for higher quality. It ships 8 voices (Bella, Jasper, Luna, Bruno, Rosie, Hugo, Kiki, and Leo) and has speed control from 0.5x to 2.0x. It has no voice cloning. It's a good fit if you want a small engine with a handful of distinct, expressive voices and don't need Piper's language range.

Pocket TTS

Pocket TTS is the largest of the three at around 100 million parameters, using Kyutai's Continuous Audio Language Model (CALM) architecture. It was designed to run faster than real-time on CPU, so it still works without a GPU. It handles English text and conversational, sentence-length input best. It is listed as MIT licensed; check the project's repository for the current terms before you ship it in a product.

Kokoro

Kokoro is an open-source model with 82 million parameters (about 80 MB), built on the StyleTTS 2 architecture by hexgrad and listed under the Apache 2.0 license. Our free tool runs it in English, with American and British voices. It has no voice cloning.

Which one should you use?

Home Assistant or a non-English voice: stay with Piper.
English only, and you want to hear if a newer model sounds better on your text: try KittenTTS, Pocket TTS and Kokoro side by side. All three run in your browser on our free tool with no signup, so you can paste the same sentence into each and compare before installing anything.
You need a specific voice, your own or a client's: none of these will do it. That's where the next section comes in.

Listening is faster than reading spec tables: open KittenTTS, Pocket TTS or Kokoro, or browse every model on the free TTS tool.

Voice Creator Pro: For When You Hit Piper's Limits

If you've outgrown Piper because you need a cloned voice, a designed voice, or a GUI instead of a terminal, Voice Creator Pro is the alternative we'd point you to. It's a full app that bundles several larger TTS models, built for making audio on your own computer. It does not include Piper.

Zero-shot voice cloning

Upload 3 to 10 seconds of clean audio and Voice Creator Pro clones the voice instantly. There's no dataset to record and no training step, which is the opposite of Piper's fine-tuning workflow. A longer reference clip doesn't give you a better clone; a clean one does.

Two models carry most of the quality:

Qwen3-TTS produces the most consistent clones and adds emotion control: 13 emotions at 5 intensities, which works on cloned voices too, so the same voice can read a line happy, angry, or afraid. It covers 10 languages and needs about 8 GB of VRAM on desktop.
OmniVoice is one of the fastest cloning models and by far the broadest, covering 600+ languages. It keeps a speaker's accent when they switch languages, which makes it the pick for multilingual projects.

For a closer look at how the models differ, read Qwen3 vs OmniVoice vs Chatterbox for voice cloning.

Voice design

Don't have a reference clip? Build a new voice from scratch. OmniVoice designs voices from structured attributes like age, gender, pitch, and accent, while Qwen3-TTS takes a free-form description such as "a warm male narrator with a British accent." Voice design covers 600+ languages. Piper has no equivalent.

Two ways to use it

The desktop app (Windows and macOS) is the closest match to Piper's local, private workflow. Everything runs on your machine, works offline after install, and has no usage limits. It's a one-time purchase starting from $54.99, with a graphical interface, a local REST API for automation, and a Remote Web UI so you can control it from a phone or another computer on your network. It runs on NVIDIA, AMD, or Intel Arc graphics cards (8 GB of VRAM recommended), on Apple Silicon Macs, or on the CPU alone, more slowly.

VCP Cloud runs the same kind of workflow in your browser, on our servers, from any device. The free tier lets you generate and listen to up to 5,000 tokens a month with no card required, so you can hear your cloned voice before paying anything. Downloading and publishing audio from Cloud starts at $5 a month. See the pricing page for what each tier includes. Commercial rights are included on every tier, free included.

Where Voice Creator Pro falls short of Piper

Be clear-eyed about the trade-off. Voice Creator Pro won't run on a Raspberry Pi, drop into Home Assistant, or embed in a device as a small binary. Its models are much larger than Piper's, so the desktop app runs best on a graphics card or an Apple Silicon Mac, and more slowly on the CPU alone. If your project is a smart speaker or a kiosk, Piper (or KittenTTS or Pocket TTS) remains the better choice.

Other Piper TTS Alternatives

ElevenLabs

ElevenLabs is a cloud AI voice platform with natural-sounding models across 70+ languages, a large community voice library, and a full API. There is nothing to install: it runs in your browser. Compared with Piper it's the opposite trade: much higher polish and cloning from 1 to 2 minutes of audio, but it's cloud-only, subscription-based ($6 to $299/mo), and capped by characters. Best for developers who want a hosted API and don't need offline use. Read our Voice Creator Pro vs ElevenLabs comparison.

Coqui XTTS

Coqui XTTS is an open-source voice cloning toolkit that runs locally and clones from a few seconds of audio in 16+ languages. For a Piper user it's the closest "local and scriptable, but with cloning" option. It needs a Python and ML environment, the company behind it shut down, and its model license has historically restricted commercial use, so check the current terms. Best for developers who want code-level control. Read our Voice Creator Pro vs Coqui XTTS comparison.

Fish Speech (OpenAudio)

Fish Speech, also released as OpenAudio, is an open-source TTS model that clones a voice from a short reference clip and runs on your own hardware. For a Piper user who wants cloning and still wants to self-host, it's the most direct option alongside Coqui XTTS. Expect a real setup: a Python environment, model weights and GPU drivers, with no GUI. Verify the current license yourself before commercial use. Best for developers who want local cloning they fully control.

Bark (Suno)

Bark is an open-source text-to-audio model that can add laughter, sighs, and other non-speech sounds. Cloning is limited and output is inconsistent from run to run, and it needs Python and a GPU. Best for experimental audio where expressiveness matters more than reliability.

How to Choose

Home automation, embedded devices, IoT: Piper. Small, fast, and it fits Home Assistant.
Lightweight TTS and you want to compare voices: try KittenTTS, Pocket TTS and Kokoro in your browser against Piper's samples.
Voice cloning or voice design with a GUI, offline: the Voice Creator Pro desktop app.
Voice cloning from any device, without installing anything: VCP Cloud.
Hosted API for an app you're building: ElevenLabs for SDKs and streaming, or the Voice Creator Pro Cloud API for cloning and voice design from the $5/mo Starter plan.
Self-hosted cloning and you're comfortable with Python: Fish Speech or Coqui XTTS.

Hit Piper's limits? Try Voice Creator Pro free in your browser, or get the desktop app for unlimited offline voice cloning.

Looking for a broader comparison? Read our Best AI Text-to-Speech Software (2026) for a full breakdown covering ElevenLabs, Descript, Murf AI, open-source alternatives, and more.