Translify for Safari vs Local LLM runner

Experience Smart Bilingual Webpage Translation Our tool focuses on identifying the main content areas of a webpage, displaying both the original text and translation by paragraph for a clear bilingual reading experience. Key Features: - Intelligent Main Content Detection: Utilizes smart identification of the main content area for bilingual webpage translation, minimizing "intrusiveness" on the original site to enhance your foreign language reading and translation experience. - Flexible Bilingual Display: Displays translations by paragraph and allows customization of paragraph length to suit your reading needs. - Optimized for Popular Websites: Specially optimized for platforms like Twitter, Reddit, Discord, Gmail, Telegram, YouTube, and Hacker News, effectively handling complex content. - Support for Multiple Translation Services: Includes Google, Bing, OpenAI, Gemini, Claude, and others. - PDF and eBook Translation Support: Translates PDF files and enables bilingual reading of eBooks through epub online readers. - Personalized Translation Styles: Offers various translation styles to create a personalized reading experience. Privacy Policy: We do not collect any personal information. However, webpage content will be sent to third-party translation services such as Google, Microsoft, and OpenAI for processing.

Run LLM on your iPhone, 100% local, no network (Network needed once to download a model) Models: • Qwen2.5 0.5B Instruct — ~0.4 GB (4 GB RAM) • Llama 3.2 1B Instruct — ~0.8 GB (4 GB RAM) • Qwen2.5 1.5B Instruct — ~0.9 GB (4 GB RAM) • Llama 3.2 3B Instruct — ~1.9 GB (6 GB RAM) • Qwen3 4B Instruct 2507 — ~2.5 GB (6 GB RAM) • Qwen2.5 7B Instruct — ~4.4 GB (8 GB RAM) Also: • Add your own GGUF (for example, from Hugging Face) • Auto-estimated max context from GPU memory; you can change it Requires iOS 18 or later. Tested on iPhone 11, 14 Pro, 15 Pro with iOS 26. Qwen models © Alibaba Cloud. Licensed under Apache License 2.0. Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. Built with Llama. On-device inference uses llama.cpp (MIT License).