rhasspy/piper

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

11281 stars · 1065 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Piper is a fast, local neural text-to-speech system that runs offline on modest hardware, including Raspberry Pi devices. It offers many pre-trained voices at multiple quality levels, including multi-speaker models, and is now maintained in a successor repository (OHF-Voice/piper1-gpl).

Use cases

• run text to speech offline on a raspberry pi
• generate speech audio from text locally without cloud
• add voice output to a home assistant
• convert text files to spoken audio
• use multi-speaker neural tts voices
• build a private voice assistant with local speech synthesis

When to choose

• you need fast, private, offline text-to-speech on low-power hardware
• you want many pre-trained voices without training your own
• you are building a local voice assistant or embedded speech output

When to avoid

• you need cloud-hosted, ultra-realistic studio-grade voices
• you want to train custom voices from scratch with full tooling
• you expect active development on this original repository rather than the successor piper1-gpl

Facets

library · maturity maintenance

tts speech-recognition machine-learning cli speech-processing machine-learning cross-platform python cpp cli embedded text-to-speech neural-tts local-inference voice-models offline rhasspy natural-language-processing

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markdown · JSON · MCP: product_card(name="rhasspy/piper")