Scispace capabilities

An AI-assisted document editor for academic writing that autocompletes sentences and paragraphs, suggests edits, recommends relevant papers as you write, and inserts citations drawn from SciSpace's paper corpus, automatically building a formatted bibliography.

Turns a research question into a structured literature review: SciSpace finds relevant papers and lays them out in a table where each row is a paper and columns hold extracted insights (methods, results, conclusions, key findings). Users add custom columns with their own natural-language prompts to pull specific data points across every paper.

Checks whether writing was produced by AI, returning an originality rating and sentence-level flags that explain which lines look machine-generated. Accepts pasted text or uploaded PDFs.

Rewrites academic text to sound more natural and avoid plagiarism while preserving meaning and keeping in-text citations intact; users pick a tone and target language for the rewrite.

Users upload or open a research paper (PDF) and ask questions about it in plain English; the AI answers using the document's content, generates TL;DR-style summaries, explains unfamiliar concepts, and pulls out key arguments and findings.

A free citation generator / citation machine that formats references for papers, supporting APA, MLA, and thousands of other citation styles.

A Chrome/browser extension that brings SciSpace's reading assistant onto publisher websites and PDFs across the web, giving real-time explanations, summaries, and cited answers as you read scientific literature.

A more thorough literature-analysis mode that goes beyond surface-level summaries, gathering and organizing insights from a larger set of high-quality papers to build a deeper, more granular understanding of a topic and supporting meta-analysis-style synthesis.

SciSpace sells a free Basic tier plus paid individual tiers (Premium and Advanced), a Teams plan for collaboration, and runs a monthly credit system that meters AI-heavy actions. Annual billing is discounted relative to monthly.

Lets users search a corpus of academic papers by asking a question or phrase in plain language; results are ranked by meaning and context rather than only keyword matching, so relevant studies surface even without exact term overlap.