Piper TTS

Basic

Fast, Lightweight Neural Text-to-Speech

Very Fast Speed
Good Quality
No Cloning
12 Languages

About Piper TTS

Piper is a fast, local neural text-to-speech system optimized for Raspberry Pi and other edge devices. It uses VITS-based models that have been trained on high-quality voice recordings, delivering natural-sounding speech with minimal computational requirements. Piper is perfect for applications requiring real-time speech synthesis without cloud dependencies.

Key Features

Ultra-Fast Synthesis

Generates speech in real-time, even on low-power devices like Raspberry Pi.

CPU-Optimized

Runs efficiently on CPU without requiring expensive GPU hardware.

12 Languages Here

Our Piper voices cover 12 languages, each with native pronunciation.

Offline Operation

Works completely offline with no internet connection required.

Privacy-First

Designed to run locally, so it needs no cloud service when you self-host it.

Open Source

Fully open-source under MIT license with active community development.

Use Cases

Smart Home Assistants Accessibility Applications IVR Phone Systems Embedded Devices Educational Software Offline Applications

Piper TTS Voices

View All 25
Bryce (US English)
EN_US
Bui (Icelandic)
IS_IS
Carlos (Spanish (Spain))
ES_ES
Cori (Balanced) (UK English)
EN_GB
Cori (UK English)
EN_GB
Erik (Swedish)
SV_SE
French MLS (French)
FR_FR
German MLS (German)
DE_DE
Iseke (Kazakh)
KK_KZ
Issai (Kazakh)
KK_KZ
John (US English)
EN_US
Kristin (US English)
EN_US

How to Use Piper TTS

  1. 1

    Sign up free or open the demo

    Create a free TextToSpeechAI account to receive starter credits, or use the on-page demo to try Piper instantly without signing in.

  2. 2

    Choose a Piper voice

    Open the voice library and filter by the Piper engine, then preview voices across your target language and accent to find the right one.

  3. 3

    Enter or paste your text

    Type or paste the script you want spoken into the text box. Piper handles punctuation and longer passages well, so you can drop in full paragraphs.

  4. 4

    Adjust speed and generate

    Set the speaking speed (roughly 0.5x to 2.0x) to suit your project, then click generate to have Piper synthesize the audio in seconds on CPU.

  5. 5

    Download the audio or call the API

    Download your clip as MP3, WAV, or OGG from the result panel, or automate it by sending the same Piper voice slug to the /v1/generate/ REST endpoint.

Piper TTS API

Generate speech programmatically using the TextToSpeechAI REST API.

curl -X POST "https://api.texttospeechai.com/v1/generate/" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Welcome to Piper, a fast and lightweight neural text\u002Dto\u002Dspeech engine.",
    "voice": "en_US-bryce-medium"
  }'

Frequently Asked Questions

Piper is a fast, lightweight neural text-to-speech engine that converts written text into natural-sounding speech. It uses VITS-based deep learning models optimized for efficient CPU inference, which makes Piper ideal for edge devices, offline tools, and real-time applications. You can try Piper free on TextToSpeechAI directly in your browser.

Yes, Piper is completely free and open-source under the MIT license, so you can use it for personal and commercial projects without licensing fees. On TextToSpeechAI you can try Piper free with your starter credits, and continued use costs just 1 credit per 1,000 characters.

Yes, Piper is released under the permissive MIT license, which explicitly allows commercial use. You can ship Piper-generated audio in commercial products, videos, apps, and services without paying royalties or adding attribution.

The Piper voices on TextToSpeechAI cover 12 languages: US and British English, German, Spanish, French, Italian, Dutch, Swedish, Icelandic, Kazakh, Nepali and Ukrainian. We only offer Piper voices whose training data allows commercial use.

Piper is one of the fastest TTS engines available and runs comfortably on CPU. It can synthesize speech in real time even on a Raspberry Pi, so on TextToSpeechAI most Piper requests return audio in well under a second.

No, Piper does not support voice cloning. It only uses its pre-trained voice models. For voice cloning, use the Clone Voice tool, which runs Chatterbox.

Piper produces clear, good-quality audio that is well suited to assistants, IVR systems, narration, and accessibility tools. It is not as high-fidelity as slower premium models, but its speed-to-quality ratio is excellent for most everyday use cases.

No GPU is required. Piper is designed to run on CPU and uses only a few hundred megabytes of memory. This is why Piper is a great fit for offline and embedded scenarios where no dedicated GPU is available.

Yes, Piper was built for fast local inference and runs fully offline once its voice models are downloaded, with no internet connection needed. Its small footprint and CPU-only design make Piper one of the best choices for offline and on-device speech.

Both are fast engines with no voice cloning. Piper covers 12 languages, is the lightest option and costs 1 credit per 1,000 characters, while VITS offers a large set of English speakers at 10 credits per 1,000 characters. Pick Piper for other languages and VITS for variety in English.

Piper costs 1 credit per 1,000 characters, the lowest price on TextToSpeechAI. New accounts get free starter credits, so you can test Piper at no cost before committing.

Pick a Piper voice from the voice library, then pass its voice slug to the /v1/generate/ endpoint with your API token. The REST API renders the audio and returns a download URL, and you can request MP3, WAV, or OGG output.

Technical Specs

  • Generation Speed Very Fast
  • Output Quality Good
  • Voice Cloning Not Supported
  • Languages 12
  • GPU VRAM 500MB
  • Credits/1000 chars 1

Try Piper TTS Now

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