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Best AI tools for research papers

The 8 best AI tools for research papers, ranked by how well they fit the task: Elicit, Semantic Scholar and Consensus and more, with pricing and why each one fits. Want results for your exact situation? Describe your task.

#1

Elicit

freemiumresearch

AI research assistant for finding and summarizing academic papers.

✓ Matches: academic research, papers

Visit Elicit →
#2

Semantic Scholar

freeresearch

Free AI-powered research tool for scientific literature.

✓ Matches: academic research, papers

Visit Semantic Scholar →
#3

Consensus

freemiumresearch

AI search engine for scientific research findings.

✓ Matches: academic research, papers

Visit Consensus →
#4

NotebookLM

freeresearch

Google's AI notebook that answers questions grounded in your sources and makes audio overviews.

✓ Matches: research, summarize documents

Visit NotebookLM →
#5

Gemini

freemiumwriting

Google's AI assistant integrated with Google services.

✓ Matches: research, summarize

Visit Gemini →
#6

Le Chat (Mistral)

freemiumwriting

Mistral AI's assistant for chat, writing, web search, and document analysis.

✓ Matches: research, summarize

Visit Le Chat (Mistral) →
#7

ChatGPT

freemiumwriting

OpenAI's conversational assistant for writing, brainstorming, analysis, coding and Q&A.

✓ Matches: summarize, research

Visit ChatGPT →
#8

Perplexity

freemiumresearch

AI answer engine with cited web sources.

✓ Matches: research, market research

Visit Perplexity →

FAQ

What is the best AI tool for research papers?

TaskMatchAI's top matches for research papers are Elicit, Semantic Scholar and Consensus. Elicit: AI research assistant for finding and summarizing academic papers.

Are there free AI tools for research papers?

Yes. These picks have a free or freemium plan: Elicit (freemium), Semantic Scholar (free), Consensus (freemium), NotebookLM (free), Gemini (freemium), Le Chat (Mistral) (freemium), ChatGPT (freemium) and Perplexity (freemium).

How does TaskMatchAI rank these tools?

Each tool's name, description and tags are scored against the task "research papers" with a keyword relevance model (BM25 with synonyms and a category boost). Rankings are not paid; featured listings are always labeled.

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