An iOS static library for embedding a high-performance PDF viewer with multimedia support, search, and custom annotations.
FastPdfKit is an iOS static library that allows developers to embed a powerful PDF viewer into their applications. It solves performance and feature limitations of Apple's QuickLook by providing fast rendering, advanced search, multimedia overlays, and extensive customization options for displaying PDF documents.
iOS developers building applications that require embedded PDF viewing, such as digital publishing apps, document readers, educational tools, or kiosk systems.
Developers choose FastPdfKit for its high performance, rich feature set beyond basic PDF rendering, and the ability to fully customize the viewer interface and integrate multimedia content directly into PDFs.
A Static Library to be embedded on iOS applications to display pdf documents derived from Fast PDF
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Optimized for speed and memory with side-scrolling, pinch-to-zoom, and preloading, enabling efficient handling of large PDFs as highlighted in the Key Features.
Allows embedding videos, audio, and web pages directly onto PDF pages via custom annotations, enabling interactive content beyond standard PDFs, as described in the Multimedia and Annotations section.
Offers adjustable reading modes (single/double page), thumbnails, bookmarks, and right-to-left language support, giving developers full UI control, per the Reading features.
Supports iOS versions from 3.2 onward with Retina Display optimization, ensuring wide device coverage, as noted in the Miscellanous section.
The README's usage guide requires dragging frameworks, inheriting project options, and copying code snippets, which is more involved than simpler PDF solutions and prone to setup errors.
The extensive changelog includes entries like 'Fixed a bunch crash' and 'Stability fixes,' indicating a history of bugs and crashes that could affect production reliability.
Supporting iOS 3.2 onward may limit adoption of modern iOS APIs and require additional testing, potentially hindering performance optimizations for newer devices.