Featured Tool

Piper TTS

Fast, local neural text-to-speech for home automation

Open SourceSelf HostedOffline Capable
0.0 (0)

About

Designed to run entirely on local hardware, Piper is a fast neural text-to-speech engine that works even on single-board computers like the Raspberry Pi 4. It pairs compact VITS-based voice models with espeak-ng for phonemization and offers many voices across dozens of languages, plus documented support for training custom voices. Originally developed within the Rhasspy voice assistant ecosystem, the project now lives under the Open Home Foundation as piper1-gpl and carries a GPL license. It can be used as a command-line tool, an HTTP server, a Python API, or a C and C++ library, and operates fully offline with no cloud dependency, which matters for privacy-sensitive and embedded deployments. Adoption is broad: Home Assistant uses it for local voice, the NVDA screen reader uses it for accessibility, and it appears in the Open Voice Operating System along with education and gaming projects. Users are typically home automation enthusiasts and developers who need offline speech output.

Should you use Piper TTS?

Pick it when

Pick Piper when speech must be generated fully offline on modest hardware like a Raspberry Pi 4, as in Home Assistant voice, screen readers, or kiosks, and you want many ready voices across dozens of languages.

Look elsewhere when

Skip it if you need zero-shot voice cloning or more expressive delivery, or if GPL terms are a problem: active development moved to the GPL-licensed piper1-gpl. Kokoro is a more expressive Apache-2.0 option that still runs on CPU.

Alternatives to Piper TTS

  • Kokoro TTS

    More expressive output from an 82M Apache-2.0 model on CPU, but it covers about eight languages where Piper offers dozens.

  • Sherpa-ONNX TTS

    Runs Piper, Kokoro, and MeloTTS models through ONNX Runtime on Android, iOS, and WebAssembly under Apache-2.0, for embedding rather than a server.

  • KittenTTS

    Tiny 15M to 80M parameter ONNX models on pure CPU with Apache-2.0 terms, but English only with eight voices and APIs still flagged as a developer preview.

  • Coqui TTS

    Lets you train across several architectures, but is heavier to set up and no longer maintained by its original company.

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