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Piper

Fast local neural TTS engine optimized for Raspberry Pi and low-resource devices with 20+ language voices.

View on GitHub Official site
Text To Speech MIT Low setup 10,900 stars

Overview

Plain English

Fast local neural TTS engine optimized for Raspberry Pi and low-resource devices with 20+ language voices.

Technical

Fast local neural TTS engine optimized for Raspberry Pi and low-resource devices with 20+ language voices.

Technical scorecard

License MIT
Commercial use Yes
OpenAI-compatible API No
REST API No
Fine-tuning support No
Quantization support No
Docker available No
GUI / no-code available No
Telemetry None
Offline after setup Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

None

Last verified: Nov 14, 2025. Maintainer verification should be treated as directory guidance, not legal advice.

Setup & Installation

Low

GUI, low-resource, or simple install path likely available.

Prerequisites

Python, C / C++, Docker, Bare Metal, Embedded / Edge

# Start with the official project documentation
# https://github.com/rhasspy/piper

Hardware Requirements

RAM8 GB minimum / 16 GB recommended
Hardware tagsCPU Only, Low-resource (< 8GB RAM)
Model formatsNot specified
Primary languagePython, C / C++

Works Well With