SENACTAPRODUCT / VOICE LOCALL
Text to speech.
SENACTA Voice Locall is a text-to-speech (TTS) application.
Designed for iOS 17 or later and Android 8 or later (arm64). Store availability has not yet been announced.
Some Android voices require a network connection. Optional experimental model downloads also use external services.
Contact support ↗THE APP
Choose a voice, adjust the speed and follow the text as it is read aloud. A simple interface keeps your text and playback controls together.
Actual iOS simulator captures · iOS app 0.3.0 (2) · September 23, 2026. The app interface shown is Japanese.
Screenshots show a development build and sample text. The sample’s offline wording is not a guarantee for every platform or speech provider. Network use depends on the selected voice, downloads and OS settings; see the app privacy page. App privacy ↗
FEATURES
01 / SPEED
Adjust the displayed speed setting from 0.5 to 4.0. Use a slower setting to follow unfamiliar text or a faster one to review familiar material.
Actual speech rate varies by OS and voice engine. On iOS, the setting controls the OS speech rate; a displayed 4.0 is not a guarantee of exactly four-times playback speed.
02 / READING
Before speech synthesis, local rules and dictionaries adjust supported ambiguous words, English abbreviations and unit symbols. Reading conversions are cached on the device for reuse.
Example：LLM → エルエルエム
TTS → ティーティーエス
Supported expressions are limited. Context-sensitive readings may still require review.
03 / FOCUS
Reading-position highlighting and automatic scrolling help you follow long text. Light and dark appearances adapt to your device settings.
ON-DEVICE PROCESSING
The current standard workflow combines the operating system’s speech engine with on-device reading normalization. Speed control uses the speech or playback engine, while reading correction uses rules, dictionaries and a persistent cache.
Generative-AI or local-LLM reading correction is not part of the current standard implementation. Additional AI speech models on Android remain experimental; they are not presented here as completed standard features.