Bookfusion Voice

BookFusion Voice is a neural text-to-speech engine bringing natural AI voices to Android — 100% offline after download, so your text never leaves your device.

Two voice families:

Supertonic: 10 premium, expressive voices, each speaking 31 languages from one shared multilingual model. Switch voice or language instantly, no extra downloads.

Piper: 150+ voices across 40+ languages, each in low/medium/high quality to balance naturalness vs. speed.

Every downloaded voice gets auto-tested on your device, showing speed and warning if it's too demanding for gap-free playback.

Getting started:

Browse the voice catalog

Preview voices with native-language sample sentences

Download your favorites

BookFusion app users: voices are auto-detected, no setup needed. For other apps: Android Settings > Text-to-Speech > select BookFusion Voice.

Features:

Two neural voice families (Supertonic + Piper)

40+ languages, multiple voices each

Fully offline speech synthesis

Quality tiers for Piper voices

On-device performance testing with slow-voice warnings

Voice preview before downloading

Download size shown per voice

Adjustable speed (0.5x–2.0x)

Works with any Android TTS-compatible app (readers, TalkBack, navigation, etc.)

Full screen-reader accessibility support

BookFusion integration: Pairs with the BookFusion eBook reader for seamless narration — voices are pre-buffered for gap-free listening across paragraphs and pages.

Privacy: All synthesis happens on-device. Text never reaches a server; internet is used only for catalog browsing and voice downloads.

Supported languages: Albanian, Arabic, Basque, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Farsi, Finnish, French, Georgian, German, Greek, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kazakh, Korean, Kurdish, Latvian, Lithuanian, Luxembourgish, Malayalam, Nepali, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Telugu, Turkish, Ukrainian, Urdu, Vietnamese, Welsh. (Availability varies by voice family.)