Mindket

piper-voices

Newversion 1 · updated

Overview

Ready-made voices for the Piper text to speech system, for developers and makers who want their own software to read text aloud.

piper-voices is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python on Windows, macOS or Linux
  • Piper, the system these voices are made for
Runs in
  • Piper, the text to speech system the voices are made for
  • Windows, macOS or Linux, with Python for the download steps
  • Your own terminal, for the download command
Start with
pip install -U huggingface_hub
hf download rhasspy/piper-voices

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Piper voices is a collection of voice files for Piper, a text to speech system. A voice is what lets Piper turn written text into spoken audio. This repository holds the voices, and the checkpoints for training your own voices sit in a separate repository called piper-checkpoints.

Who it suits

It suits people who want a speech voice that runs through Piper, such as developers adding spoken output to an app or makers giving a project a voice. The record lists language tags such as ar, ca, cs, cy, da, de, el and en.

IndustryWho uses itHow they use itExample
SoftwareApp developersAdd spoken output to an appReading a status message aloud
AccessibilityTool buildersGive written content a spoken formReading a document aloud
EducationCourse makersTurn lesson text into audioNarrating a short lesson
Hobby projectsMakersGive a home project a voiceA device that speaks its alerts

Skip it if you do not plan to run Piper yourself.

Where to use it

  • Piper, the text to speech system the voices are made for
  • Windows, macOS or Linux, with Python for the download steps
  • Your own terminal, for the download command
Use caseWhoWhat they get back
Spoken output in an appDevelopersText read aloud in the voice they chose
Training a new voiceVoice buildersA pointer to the separate checkpoints repository

How to set it up

You need a few things in place first.

  • Python on Windows, macOS or Linux
  • Piper, the system these voices are made for
  1. Install the Hugging Face hub package with pip.
  2. Download the repository files with the hf command.
  3. Choose the voice files you want from the downloaded folder and use them with Piper.
pip install -U huggingface_hub
hf download rhasspy/piper-voices

How to use it

The download command fetches the voice files onto your computer. After that, you give Piper the voice you picked. The model card does not list Piper's own commands, so check Piper's documentation for running it.

hf download rhasspy/piper-voices

Example

You run the download command and wait for it to finish. Your computer now holds the voice files from the repository. You pick one for your language and hand it to Piper, which then reads your text aloud in that voice.

For newcomers and experts

A voice is a set of files that Piper loads in order to speak. Start small. Run the two setup commands and look at the folders that arrive, then choose one voice to try.

The repository is a place to get finished Piper voices, kept apart from the training checkpoints. If you want a new voice instead of an existing one, the training route starts from the piper-checkpoints repository. The record also shows 38 quantized and 5 fine-tuned versions made by other people.

  1. Choose a voice in the repository
  2. Download the files with hf
  3. Load the voice in Piper
  4. Piper reads your text aloud

Good to know

  • License: MIT
  • Cost to run: none named
  • Data it reaches: it downloads files from Hugging Face onto your computer
  • Not for: training new voices, which uses the separate checkpoints repository

README and files

README

piper-voices

Ready-made voices for the Piper text to speech system, for developers and makers who want their own software to read text aloud.

Made by rhasspy on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: Piper voices is a collection of voice files for Piper, a text to speech system. A voice is what lets Piper turn written text into spoken audio. This repository holds the voices, and the checkpoints for training your own voices sit in a separate repository called piper-checkpoints.

Who it suits: It suits people who want a speech voice that runs through Piper, such as developers adding spoken output to an app or makers giving a project a voice. The record lists language tags such as ar, ca, cs, cy, da, de, el and en.

Industry | Who uses it | How they use it | Example
Software | App developers | Add spoken output to an app | Reading a status message aloud
Accessibility | Tool builders | Give written content a spoken form | Reading a document aloud
Education | Course makers | Turn lesson text into audio | Narrating a short lesson
Hobby projects | Makers | Give a home project a voice | A device that speaks its alerts

Skip it if you do not plan to run Piper yourself.

Where to use it:

  • Piper, the text to speech system the voices are made for
  • Windows, macOS or Linux, with Python for the download steps
  • Your own terminal, for the download command
Use case | Who | What they get back
Spoken output in an app | Developers | Text read aloud in the voice they chose
Training a new voice | Voice builders | A pointer to the separate checkpoints repository

How to set it up: You need a few things in place first.

  • Python on Windows, macOS or Linux
  • Piper, the system these voices are made for
  1. Install the Hugging Face hub package with pip.
  2. Download the repository files with the hf command.
  3. Choose the voice files you want from the downloaded folder and use them with Piper.
pip install -U huggingface_hub
hf download rhasspy/piper-voices

How to use it: The download command fetches the voice files onto your computer. After that, you give Piper the voice you picked. The model card does not list Piper's own commands, so check Piper's documentation for running it.

hf download rhasspy/piper-voices

Example: You run the download command and wait for it to finish. Your computer now holds the voice files from the repository. You pick one for your language and hand it to Piper, which then reads your text aloud in that voice.

For newcomers and experts: A voice is a set of files that Piper loads in order to speak. Start small. Run the two setup commands and look at the folders that arrive, then choose one voice to try.

The repository is a place to get finished Piper voices, kept apart from the training checkpoints. If you want a new voice instead of an existing one, the training route starts from the piper-checkpoints repository. The record also shows 38 quantized and 5 fine-tuned versions made by other people.

Choose a voice in the repository
Download the files with hf
Load the voice in Piper
Piper reads your text aloud

Good to know:

  • License: MIT
  • Cost to run: none named
  • Data it reaches: it downloads files from Hugging Face onto your computer
  • Not for: training new voices, which uses the separate checkpoints repository

On Hugging Face, 13 November 2026

  • Downloads in the last 30 days: 0
  • Likes: 877
  • License: mit
  • Languages: ar, ca, cs, cy, da, de, el, en
  • Quantized versions: 38
  • Fine-tunes: 5
  • Tags: onnx

Links

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download rhasspy/piper-voices

Then follow the usage in its model card. Nothing in this kit runs by itself.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face models in the same category that share the most tags with this one.

ProductDownloads, last 30 daysLikesParametersLicenseLast change
piper-voices This page0877—mit
all-MiniLM-L6-v2Shares onnx174,740,1846,10422.7Mapache-2.0
bge-small-en-v1.5Shares onnx45,750,54867133.4Mmit
GPT-2Shares onnx32,892,2233,932137Mmit
BERT base model (uncased)Shares onnx31,346,5283,071110Mapache-2.0
bge-m3Shares onnx29,282,1673,989—mit
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

Reviews

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What people say

Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.

a2128Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS ModelIf you're looking for other languages, Piper has been around in this scene for much longer and they have open-source training code and a lot of models (they're ~60MB instead of 25MB but whatever...) https://huggingface.co/rhasspy/piper-voices/tree/mainDax Prycein case you didn't know, hugging face generally isn't <doing> the model training, people are just publishing the models/weights they've trained there. it's like an app store for models - and not just llms! I get my piper model there so I can self host my own alexa! huggingface.co/rhasspy/pipe...2 repliesfollowerMeaningful Nonsense: How I generate sentencesThis is so great--both in terms of the project & the write-up. Thanks for sharing your work! :) A "quick" dump of some thoughts it provoked: (1) Really like the "meaning-nonsense continuum" concept--and that neither extreme is explicitly labelled in the image immediately following where the term…followerChatTTS-Best open source TTS Model> Last time I looked into TTS systems for German, Google was the only game in town. What I wouldn't give for a viable alternative! It doesn't even need to be open source, I'd be quite ready to pay top dollar. Will you still pay top dollar if it is open source though? :D Piper TTS[0] (MIT Licensed;…followerESpeak-ng: speech synthesizer with more than one hundred languages and accentsDepending on your definition of "huge", you might find Piper TTS fits your requirements: https://github.com/rhasspy/piper The size of the associated voice files varies but there are options that are under 100MB: https://huggingface.co/rhasspy/piper-voices/tree/main/en

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