Lirum Wiki - Offline Wikipedia
Lirum Labs Technologies Inc. · Reference
Independent analytics for this App Store listing. AppTracker is not affiliated with Lirum Labs Technologies Inc.
Chart standing · US
What changed · US
Listing changes AppTracker has observed for this app in this storefront — new versions, price moves, rating shifts, and store copy.
Article AI just got a major upgrade: more models, richer conversations, and sharper answers — all still entirely on-device. A BIGGER, SMARTER MODEL LIBRARY • A curated catalog of validated on-device models — Gemma, Llama 3.2, and more — so every download just works • A redesigned tabbed model picker with per-model loading and advanced generation settings • Model manager refinements, including smooth scrolling through larger libraries RICH MULTIMODAL CHAT • Attach an image and ask vision-capable models about it • Add a voice note for models that understand audio • Streamed answers now render LaTeX equations as elegant math STEADIER UNDER THE HOOD • Article context is sized to each model's limits for more reliable answers • Saved model transfers survive app updates, and cancellations clean up completely • Dozens of reliability fixes across model downloads and the catalog Thank you for reading with us. If Lirum Wiki makes offline knowledge a little brighter, a rating helps other explorers find it.
Screenshots
About
Carry the world's largest encyclopedia in your pocket — and read it anywhere, even miles from the nearest signal. Lirum Wiki turns your iPhone, iPad, and Mac into a complete, self-contained library. Import Wikipedia and OpenZIM archives from Files, iCloud Drive, network shares, or external drives, or download them straight from the built-in Kiwix catalog. Once stored, everything works offline: reading, search, bookmarks, PDF export, and even a private AI conversation about the article in front of you. WHY YOU'LL LOVE IT • Truly offline — read, search, and study on a plane, on a trail, off the grid • One gorgeous native app designed for iPhone, iPad, and Mac • Fast title and full-text search with instant snippets • Private, on-device AI chat about any article • Five handcrafted reading themes, each with light and dark appearance • No account, no ads, no analytics, no telemetry — your library stays yours BUILD YOUR LIBRARY YOUR WAY • Open full OpenZIM archives directly, with no conversion or extraction • Import from Files, iCloud Drive, SMB and NAS shares, or external storage • Browse the multilingual Kiwix catalog and download new archives in-app • Queue entire batches of archives at once and manage them as one • Pause and safely resume even the largest transfers • Open archives in place and read huge collections without copying them first • See each archive's language, date, article count, and media details at a glance • Reclaim space confidently with per-archive storage details and confirmed deletion • Export archives back out to Files, NAS, or external storage A READER THAT FEELS LIKE HOME • Five themes from classic encyclopedia to modern magazine editorial • Adjustable text size for comfortable reading • Find within an article and jump straight to highlighted, clickable excerpts • Random-article and archive-home shortcuts for a little serendipity • Copy, share, or export any article as a PDF • Organize bookmarks in folders with portable backup and restore PRIVATE ON-DEVICE ARTICLE CHAT Ask for a summary, the key facts, a simpler explanation, or a study guide. Answers are grounded in the very article on your screen, including its sections and infobox. On supported devices, choose Apple Foundation Models or a curated library of validated local models — Gemma, Llama, and more — including multimodal models that can discuss an attached image or voice note. Your questions, answers, and article text never leave the device. ONE APP, EVERY SCREEN Lirum Wiki is a native SwiftUI app, not a web wrapper. Reader tools fold into elegant sidebars on iPad and Mac, search stays within reach in any orientation, and your library, bookmarks, and themes feel at home on every device you own. A note on big downloads: transfers on iPhone and iPad run in the foreground, and Lirum Wiki preserves resumable progress if the app is interrupted. Lirum Wiki is an independent OpenZIM reader and is not affiliated with the Wikimedia Foundation or Kiwix. Wikipedia and related marks belong to the Wikimedia Foundation.
What's new · 1.3.7
Article AI just got a major upgrade: more models, richer conversations, and sharper answers — all still entirely on-device. A BIGGER, SMARTER MODEL LIBRARY • A curated catalog of validated on-device models — Gemma, Llama 3.2, and more — so every download just works • A redesigned tabbed model picker with per-model loading and advanced generation settings • Model manager refinements, including smooth scrolling through larger libraries RICH MULTIMODAL CHAT • Attach an image and ask vision-capable models about it • Add a voice note for models that understand audio • Streamed answers now render LaTeX equations as elegant math STEADIER UNDER THE HOOD • Article context is sized to each model's limits for more reliable answers • Saved model transfers survive app updates, and cancellations clean up completely • Dozens of reliability fixes across model downloads and the catalog Thank you for reading with us. If Lirum Wiki makes offline knowledge a little brighter, a rating helps other explorers find it.
Details