loudkit / README.md
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one screen: English first, language filter, text box; clone examples, no download
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A newer version of the Gradio SDK is available: 6.26.0

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metadata
title: loudkit
emoji: 🔊
colorFrom: gray
colorTo: red
sdk: gradio
sdk_version: 5.50.0
python_version: 3.12.12
app_file: app.py
pinned: false
license: apache-2.0
short_description: On-device TTS. Twenty voices, ten languages, one engine.
models:
  - loudreader/loudr-1
preload_from_hub:
  - >-
    loudreader/loudr-1
    loudr-1.safetensors,loudr-1-enrollment.safetensors,ve.safetensors,manifest.json,release.json,SHA256SUMS,voices/carmen.safetensors,voices/colette.safetensors,voices/dante.safetensors,voices/darkman.safetensors,voices/dave.safetensors,voices/freja.safetensors,voices/gosia.safetensors,voices/henri.safetensors,voices/ines.safetensors,voices/joe.safetensors,voices/kathleen.safetensors,voices/kerstin.safetensors,voices/nathalie.safetensors,voices/nils.safetensors,voices/paola.safetensors,voices/pim.safetensors,voices/selma.safetensors,voices/soren.safetensors,voices/thorsten.safetensors,voices/tugao.safetensors

loudkit

Twenty voices across ten languages, from loudreader/loudr-1, running the loudkit engine on ZeroGPU.

Two tabs

  • Voices. Twenty voices, each beside the reference recording it was enrolled from. English first, with a dropdown for the other nine languages. The samples were rendered ahead of time and ship in this repo, so playing them uses no GPU. Under them is a box for your own text, up to 1,000 characters.
  • Clone. A voice from about ten seconds of audio. Try a shipped example, or record yourself.

ZeroGPU bills GPU time to the visitor, not to the owner. An anonymous visitor gets about two minutes a day. A signed-in free account gets about five. Listening costs none of it.

Cloning and consent

Clone your own voice, or a voice you have permission to use.

  • Four shipped examples let you hear cloning without recording anything. Their donors released them for building TTS voices.
  • Recording yourself is the next path. It clears the example.
  • An upload is last, and needs an explicit confirmation.
  • Recordings are deleted when the request ends. The voice embeddings are never written to disk and never leave the process.
  • Cloned audio carries no download button.

See RESPONSIBLE_USE.

Determinism

The Voices tab has a determinism check. It renders the same text twice at the same seed and prints the SHA-256 of both waveforms. They match.

That holds within this build and this device. loudkit promises a bit-identical waveform for the same seed, build, backend and input. It does not promise that your machine matches this GPU. See the identity contract.

Run it locally

pip install "loudkit[torch,audio,enroll,hub]"
import loudkit as lk

engine = lk.load("loudreader/loudr-1")
voice = lk.voice("kathleen", repo="loudreader/loudr-1")
engine.synthesize_long("Hello from loudkit.", voice, seed=7).save("hello.wav")

Audio in this Space, and from Result.save, carries C2PA provenance: the algorithm fingerprint, the recipe and the seed.

Voice sources

Every voice is enrolled from a public-domain or openly licensed recording. voices.json in this repo carries the full record for each one: donor, source, licence, consent, and the SHA-256 of both the reference and the sample.