Translate spoken words into text and multiple languages
Translate text instantly between multiple languages
This app accepts a 15-second audio and translates it
Translate text between multiple languages
Yet another Real-time Whisper with WebGPU, written in Vue
Translate text to a target language using an API
你好！
Realtime implementation of Whisper large turbo
Translate text and hear the voice in your choice of language
Translate texts between languages automatically
Translate sign language gestures in real-time using your webcam
Translates input speech to output
mini translation project
SeamlessOnDevice is a real-time translation application designed to translate spoken words into text and multiple languages instantly. It serves as a bridge for communication across language barriers, making conversations seamless and efficient. The app is categorized under "Translate a language in real-time," focusing on delivering accurate and prompt translations.
• Real-time Translation: Translate spoken words into text and multiple languages instantly.
• Multi-language Support: Translate between numerous languages with high accuracy.
• Text-to-Speech Conversion: Convert-translated text back into spoken words for easy communication.
• User-friendly Interface: An intuitive design that simplifies the translation process.
• Offline Functionality: Translate even without an internet connection (for supported languages).
• Speech Recognition: Accurate detection of spoken words for precise translation.
1. What languages does SeamlessOnDevice support?
SeamlessOnDevice supports a wide range of languages, including popular ones like English, Spanish, French, Mandarin, and many more. The exact list depends on your device and internet connection.
2. Does SeamlessOnDevice work offline?
Yes, SeamlessOnDevice offers offline functionality for some languages. However, for the most accurate and up-to-date translations, an internet connection is recommended.
3. How do I improve translation accuracy?
Speak clearly and at a moderate pace. Ensure your device's microphone is working correctly, and minimize background noise for better speech recognition.