LanRead vs Oratica E

LanRead is an EPUB reader built to help you understand books faster and retain more from what you read. Import an EPUB, get an AI Reading Guide before you dive in, skim chapter structure in minutes, and ask for help exactly where you need it. When a passage feels difficult, select the text to explain or translate it instantly. When an idea matters, save it with highlights, notes, and bookmarks, then sync your reading notes to Notion for review and writing. What you can do in this app: - Import EPUB files from the Files app - Start with an AI Reading Guide to grasp the book before deep reading - Use skimming mode for chapter summaries, structure points, key sentences, keywords, and guiding questions - Highlight text, add notes, and jump back to the original passage - Share your highlights and notes - Explain or translate selected text with AI - Adjust themes, typography, and layout for a more comfortable reading experience - Track reading progress, reading time, and goals - Sync highlights and notes to Notion LanRead is designed for focused reading on iPhone and iPad, helping you move from collecting books to actually understanding and using them.

Oratica turns readable ebooks and documents into translated audio. Import PDF, EPUB, TXT, or HTML files, extract the readable text, translate sentence by sentence, and listen with natural iPhone text-to-speech. Oratica keeps your place for each book, supports adjustable reading speed, pitch, voice volume, font size, source/translation display modes, page or progress navigation, search, background audio controls, and multiple UI languages. For supported languages, Oratica can translate sentences into your selected target language before reading. If the document is already in your target language, you can listen without translation. Free users can continue listening with periodic ad breaks. A monthly subscription removes ad breaks. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://canerizm.github.io/privacy.html