LitLit

LitLit is an AI-powered academic workstation built for researchers, students, and scholars who need help navigating large bodies of published literature. Instead of ACTing as a General-purpose chatbot, it centers on the research process: finding relevant papers, summarizing what a field looks like, and keeping sources traceable. The platform is presented in Simplified Chinese and is aimed primarily at Chinese-speaking academic users.

What it does

LitLit generates literature reviews from real paper data. Its in-house screening APProach is designed to pull together representative studies in a topic area, then produce a structured overview of the field along with notes on current research frontiers. It also handles the less glamorous sIDE of academic writing, such as producing pRoPErly fORMatted references and exporting documents for further editing.

Key capabilities

• Literature review generation: one-click draft reviews grounded in actual publications rather than invented citations.
• citation formatting: Standardized reference ouTPUt with DOC export support.
• Scichat academic Q&A: An always-on assistant that answers research questions and can handle multi-step tasks, with conversation export for record-keeping or sharing.
• Citation network maps: Visual graphs of how papers connect, useful for surveying a field at a glance.
• AI reading companion: Inline notes, highlighted-term explanations, translation, and source location when working through a paper.
• Summary tables: Structured review tables that organize findings for Comparison and analysis.
• Domain knowledge base Q&A: question answering targeted at specific academic Databases.
• screenshot explanation: Capture a portion of a PDF and get an immediate explanation of its contents.

Who it is for

The tool suits graduate students preparing a thesis proposal or opening report, early-career researchers who need to get up to speed in an unfamiliar subfield, and academics who want to cut down the time spent on reference formatting and background reading. Because the interface and outputs are in Chinese, it is most practical for researchers writing in that language, though the underlying papers may be international.

How to get started

Access is through the browser at the official site; there is no desktop or mobile app to install. A typical first session involves entering a research topic, reviewing the generated literature summary, and then refining it with the reading and Q&A tools. Users can contact support through the platform's WeChat channel or its customer service assistant if they run into problems.

Pricing and access

The site can be reached without a VPN from most locations. Pricing tiers may change and specific plan details are not fixed here, so check the official site for current limits on review generation and other features before committing to a paid plan.