Piper TTS

Standard

Fast, Lightweight Neural Text-to-Speech

Very Fast Speed
Good Quality
No Cloning
20 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.

20+ Languages

Supports over 20 languages with native-quality pronunciation.

Offline Operation

Works completely offline with no internet connection required.

Privacy-First

All processing happens locally - your text never leaves your device.

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 101
Alan (Fast) (UK English)
EN_GB
Alan (UK English)
EN_GB
Alba (UK English)
EN_GB
Alejandro (Spanish (Mexico))
ES_MX
Amir (Persian)
FA_IR
Amy (Fast) (US English)
EN_US
Amy (US English)
EN
Anders (Danish)
DA_DK
Anna (Hungarian)
HU_HU
Arctic (US English)
EN_US
Arthur (UK English)
EN_GB
Artur (Slovenian)
SL_SI

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_GB-alan-low"
  }'

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 10 credits per 1000 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.

Piper supports over 20 languages, including English (US, UK, and other accents), Spanish, French, German, Italian, Portuguese, Dutch, Polish, Russian, and many more. Each language comes with several pre-trained Piper voices to choose from in the TextToSpeechAI voice library.

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. If you need to clone a specific voice from a sample, use a cloning engine like F5-TTS or Chatterbox on TextToSpeechAI instead.

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 Piper and Kokoro are fast, CPU-friendly, standard-tier engines with no voice cloning. Piper has a very large multilingual voice library and is extremely lightweight, while Kokoro often sounds a touch more polished, so pick Piper for breadth of voices and minimal resources, and Kokoro when you want a smoother default voice.

Piper is in the standard pricing tier, which costs 10 credits per 1000 characters - the lowest tier 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 20
  • GPU VRAM 500MB
  • Credits/1000 chars 10

Try Piper TTS Now

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