沁言学术

沁言学术 is a research-focused workspace AImed at Chinese-speaking students, academics and research teams. Rather than ACTing as a single-purpose writing bot, it tries to hold the whole academic pipeline in one place: gathering source material, paRSIng it into usable text, organizing references, reading and annotating, then drafting with citations already in hand. The product's pitch is that researchers lose time hopping between a PDF reader, a reference manager, a notes APP and a word processor, and that connecting these steps shortens the path from raw material to finished draft.

What it does

Users upload PDFs, Word files, slIDEs and scanned documents, and the system extracts text, figures and bibliographic details automatically. Uploaded material is stored in the cloud and synced across devices, so a document opened on a laptop is available on a phone. From there, the platform supports keyword search across the library, reference-list building, and reading with annotation tools layered on top of the source files.

Key capabilities

• Document parsing: automatic reCognition of text and citation Metadata from PDFs and scans, reducing manual entry.
• Literature management: sortable reference tables filterable by read status, keyword or source, with CSV export.
• Visual analysis: exploration of citation networks and related papers to surface connections between works.
• Reading tools: highlighting, underlining, freehand marking and split-screen viewing of multiple documents with Synchronized notes.
• writing assistance: a side-by-side reading and editing layout, plus large-language-model features for summarizing, rewriting, translating and locating relevant passages.
• citation formatting: an add-in for Word and WPS that generates in-text citations and reference lists in a wide range of styles and can refresh them globally before submission.
• Knowledge organization: nested tags, folders, one-click mind maps from notes, an open canvas for brainstorming, and card-based note collections.
• collaboration: shared folders and documents for team projects, with export to common formats.

Who it is for

The tool suits graduate students and faculty handling large reading loads, research groups that need a shared literature pool, and anyone building a Personal knowledge base from course materials or long-form sources. Its interface and documentation are in Chinese, so it is most practical for users comfortable working in that language.

How to get started

Create an account on the official site, then upload a batch of PDFs or connect a shared folder. running a keyword search over the uploaded set is a quick way to judge how well the parser handled your documents. From there, try the split-screen writing view and the citation add-in in Word or WPS to see whether the workflow matches your habits.

Pricing and access

The site can be reached without a VPN. Plan details, stoRAGe limits and any paid tiers may change and should be confirmed on the official pricing page before committing to a team deployment.