PDF AI vs SciencePal 2.0

AI-powered PDF toolkit built for speed, security, and clarity. Chat with PDFs, summarize long documents, generate slides, create podcast-style audio, scan, edit, convert, sign, and collaborate—without friction. What you can do • Chat with PDFs: Ask questions and get instant answers from documents. • Summarize smarter: Turn long PDFs, reports, papers, and books into clear key points. • Generate with AI: Create slides, podcast-style audio, visual digests, and insight cards from documents. • Edit PDFs: Modify text, images, and layout with precision. • Read smarter: AI summaries, highlights, bookmarks, day/night/Sepia. • Annotate & collaborate: Highlight, underline, notes, sketches, comments, and share. • Fill & sign: Complete interactive forms and e‑sign on the go. • Convert fast: PDF ⇄ Word/Excel/PPT/Images/TXT with high fidelity. • Scan & organize: Scan documents, extract text with OCR, search, manage, and work offline securely. Why it’s better • AI tools for reading, understanding, presenting, and listening to documents. • Lightning-fast viewer for large PDFs. • Privacy-first: local processing and strong encryption. • Professional output, zero watermarks for subscribers. • Continuous updates with new AI capabilities. VIP (auto‑renewable subscriptions) • Monthly or yearly plans available. • Unlock premium tools: advanced editing, full‑text search, batch processing, high‑quality exports, AI summaries, AI chat, AI slides, podcast-style audio, visual digests, OCR, conversion tools, and more. Policies • Privacy: https://sophoninc.com/privacy.html • Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ • Terms of Service: https://sophoninc.com/terms.html Contact • Email: feedback@sophoninc.com

SciencePal 2.0 is the next-generation AI research platform developed by HKAI-Sci and designed for scientific research workflows. Access it through your browser with no environment setup or coding required. Use natural language to complete end-to-end research tasks, from literature management to computational simulation. With cross-session long-term memory, a self-evolving skill system, domain-specific agent toolchains, and multi-agent orchestration, SciencePal 2.0 gives researchers a personalized AI research team that continuously evolves. Six Core Capabilities 1. Long-Term Memory A cross-session semantic memory system automatically stores research context, experimental parameters, and key findings, so you do not need to repeat background information. Semantic search creates a personal knowledge base that keeps evolving with your work. 2. Self-Evolving Skills Define experimental workflows, analytical methods, and domain knowledge using natural language or Markdown files, then turn them into persistent agent skills. Built-in modules include Zotero literature management, materials computation, and bioinformatics, with support for custom extensions. 3. Scientific Agent Team Use preconfigured agents for molecular biology, materials science, protein design, medical literature, and more. Each agent comes with a professional toolchain, including BLAST, AlphaFold, scanpy, Materials Project, AutoDock, and others. A single instruction can launch a complete analysis workflow. 4. Persistent Sandbox Every user has a persistent computing environment. Code, data, dependencies, and intermediate results remain available across sessions, allowing research to continue seamlessly. 5. Built-In Academic Tools Literature management through the Zotero API, citation graph navigation, and document parsing are integrated natively, with no external plugins or manual exports required. 6. Intelligent Model Routing SciencePal automatically selects the best model and reasoning depth for each query, significantly reducing cost while maintaining high-quality results.