Translate text and audio between languages with AI
你好！
Realtime implementation of Whisper large turbo
Translate spoken words into text and multiple languages
Translate text from one language to another
Translate text into any language
Translate text from any language to another
Translates input speech to output
Transcribe and Synthesize Audio in Realtime
This app accepts a 15-second audio and translates it
Translate texts between languages automatically
Yet another Real-time Whisper with WebGPU, written in Vue
Translate audio to text and then to speech in another language
A.R.I.S. Translator is an advanced AI-powered tool designed to translate text and audio between languages in real-time. It leverages cutting-edge artificial intelligence to provide fast, accurate, and versatile translation solutions for users worldwide. Whether you're communicating across languages, conducting business internationally, or exploring new cultures, A.R.I.S. Translator offers a seamless and efficient way to bridge language gaps.
• Real-Time Translation: Translate text and audio instantly, enabling smooth communication.
• Multi-Language Support: Translate between numerous languages with high accuracy.
• Offline Capability: Use the translator even without an internet connection.
• AI-Powered Accuracy: Utilizes advanced AI models to ensure contextually accurate translations.
• User-Friendly Interface: Designed for simplicity and ease of use.
• Cross-Platform Compatibility: Accessible on multiple devices and platforms.
What languages does A.R.I.S. Translator support?
A.R.I.S. Translator supports a wide range of languages, including popular ones like English, Spanish, French, Mandarin, and many more. For a full list, refer to the app's language menu.
Can I use A.R.I.S. Translator offline?
Yes, A.R.I.S. Translator offers offline translation for certain languages after downloading the necessary language packs within the app.
How accurate is the translation?
The app uses advanced AI models to ensure high accuracy, but results may vary slightly based on context, dialects, or slang. For critical translations, double-checking the output is recommended.