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Tool profile · AI Voice & Speech

Piper

30+ languages on hardware as small as a Raspberry Pi.

90
sovereignty

Piper is a fast, local neural text-to-speech system built for constrained hardware — it runs comfortably on a Raspberry Pi and powers the voice in several self-hosted home-automation stacks. It covers 30+ languages with a large library of pre-trained voices. Quality does not match Kokoro or ElevenLabs, but nothing else runs this well with this little silicon.

OPEN SOURCEGPL-3.0SELF-HOSTLOCAL-FIRST
LicenseGPL-3.0
PricingFree — GPL-3.0. Runs on CPU, including single-board computers; effectively costs electricity.
Open sourceYes
Self-hostableYes
Local-first dataYes

What it does well

  • +Runs on very low-power hardware, including a Raspberry Pi
  • +30+ languages with a large pre-trained voice library
  • +Fully offline — nothing leaves the device
  • +Proven in production inside self-hosted voice assistants

Where it falls short

  • GPL-3.0 is copyleft — commercially usable, but check it against how you distribute
  • Noticeably behind Kokoro and ElevenLabs on naturalness
  • No voice cloning

Piper as an alternative to

Where Piper shows up in our comparisons, and how it ranked.

Piper head-to-head

Straight comparisons against the tools people weigh it against.

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