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The 7 Best AI Tools for Literature Review

AI Literature Review

Eighteen months. That’s how long the average systematic literature review takes to complete (source).

For many researchers, it means countless hours scanning through papers, taking notes, and trying to synthesize findings into something cohesive.

Artificial intelligence is changing this landscape dramatically. Not just incrementally, but fundamentally.

Modern AI tools can automatically extract key findings from research papers, synthesize insights across hundreds of studies, and generate structured summaries in minutes rather than months.

But there’s a catch.

The market is now flooded with AI research tools, each claiming to revolutionize the literature review process.

Some deliver on these promises. Many don’t. The difference matters, especially when your research depends on it.

I tested these tools to separate reality from marketing hype.

This guide examines the seven most effective AI tools for literature reviews.

Best for multi-LLM research analysis

Julius AI new logo

Julius AI

Perfect for: Researchers needing comprehensive AI analysis with multiple LLM support and automated workflows

Pricing: From $20/month

AI data analyst that evolved beyond spreadsheets. Features cutting-edge LLMs, reusable Notebooks, direct database connections, and real-time Data Explorer.

Read Review

Best for data extraction and synthesis

Elicit logo

Elicit

Perfect for: Researchers conducting systematic reviews, especially in biomedicine and machine learning fields

Pricing: From $12/month

Specialized research assistant with 125M+ paper database. Automates tedious research tasks with 90% accuracy and seamless Zotero integration.

Read Review

Best all-in-one research platform

SciSpace logo

SciSpace

Perfect for: Researchers wanting comprehensive research features unified in a single, intuitive platform

Pricing: From $20/month

Complete research companion offering literature reviews, PDF chat, AI writing assistance, and dynamic table creation in one streamlined interface.

Read Review

What are the best AI literature review tools?

  • Julius AI for multi-LLM analysis with Notebooks, Data Connectors, and real-time workflows
  • Elicit for rapid data extraction from 125M+ academic papers
  • SciSpace for all-in-one research with dynamic table creation
  • Semantic Scholar for free access to 214M+ papers
  • Scite for smart citation analysis across 1.2B+ citations
  • Scholarcy for flashcard-style paper summaries
  • Paperpal for AI-assisted literature review writing

Tool

Best for

Standout features

Julius AI

Multi-LLM research analysis with persistent workflows

Multi-LLM support (GPT-5, Claude 4 Sonnet/Opus, etc); reusable Notebooks; direct database connections; Data Explorer

Elicit

Data extraction and synthesis

125M+ academic paper database; 90% accuracy rate; automated data extraction; Zotero integration

SciSpace

All-in-one research platform

Dynamic table creation; integrated PDF chat; AI writing assistance; literature review generation

Semantic Scholar

Paper discovery and analysis

214M+ paper database; TL;DR summaries; AI-powered research feeds; intelligent reference sorting

Scite

Citation analysis

1.2B+ citation database; Smart Citations with context; citation statement search; reference checking

Scholarcy

Paper summarization

Flashcard-style summaries; multiple reader perspectives; intelligent ‘Important Points’ feature

Paperpal

Literature review writing

Real-time AI writing assistance; MS Word integration; built-in research tools; Chat PDF feature

Price Comparison

Tool

Free plan?

Starting price (monthly billing)

Julius AI

$20/month (Plus Plan)

Elicit

$12/month (Plus Plan)

SciSpace

$30/month (Premium Plan)

Semantic Scholar

✅ (Full Access)

Free (No paid plans)

Scite

❌ (7 day paid trial)

$20/month

Scholarcy

$4.99/month

Paperpal

$25/month (Prime)

How I picked

#1 — Julius AI

Available on: Web, Android, iOS (iPad and iPhone).

Julius AI new homepage

Pros

  • Talk to your data like you’re chatting with a friend who happens to be a genius analyst
  • Multiple cutting-edge LLMs (GPT-5, Claude 4 Sonnet, Opus, etc). Pick the right brain for each job
  • Notebooks turn your messy research process into something you can actually repeat and share
  • Data Connectors let you skip the whole “download, upload, pray it works” dance with databases
  • Data Explorer shows you what’s happening under the hood in real-time

Cons

  • Free plan limits you to 15 messages (but honestly, that’s enough to know if you want more)
  • Learning curve exists, but it’s shorter than you think
  • So many features you might get overwhelmed at first


Julius AI used to be just really good at data analysis. Now it’s become something different. A complete research ecosystem that actually makes sense.

Julius AI's latest dashboard interface

I’ve watched Julius AI evolve over the past year, and the changes are dramatic.

What started as “ChatGPT for spreadsheets” has become the tool I reach for whenever I need to understand data quickly.

The secret weapon here is Notebooks.

Notebooks in Julius AI

Think of them as your personal recipe book for data tasks, except these recipes actually work every time. Most AI tools make you start over every conversation. Julius AI lets you build workflows that stick around.

Here’s how it works: You create a notebook with different types of cells.

Prompt cells for instructions. File cells for your data. User input cells for questions you want to ask later. Code cells for when you need exact control.

The magic happens when you share these notebooks.

Sharing and collaboration in Julius AI

Your teammate can run your entire analysis with their data just by clicking a button. No more “can you send me that code again” emails.

But here’s where it gets even better.

Remember when you had to export data from your database, download it, upload it somewhere else, then analyze it?

Julius AI killed that workflow with Data Connectors.

Data connectors and MCPs in Julius AI

These plug directly into your PostgreSQL, BigQuery, Snowflake, or whatever database you use.

You ask Julius a question in plain English, and it writes the SQL, runs it, and gives you an answer.

All in real-time.

The setup takes five minutes. After that, you can ask things like “show me last month’s revenue by region” and Julius handles everything – connection, query, visualization, the works.

While this is happening, Data Explorer shows you every table, every calculation, every step of your analysis as it happens.

Data Explorer in Julius AI

This is the feature I didn’t know I needed until I had it.

You can export any table as CSV with one click. Filter columns on the fly. See exactly how Julius got from your question to its answer.

And here’s where Julius AI gets really interesting: you can switch between GPT-5, Claude 4 Sonnet, and other models depending on what you need.

Models in Julius AI

Writing a literature review? Claude 4 Sonnet is excellent at that kind of work.

Need complex calculations? GPT-5 is your friend.

Julius AI gives you the whole toolbox.

If you don’t want to start from scratch, the template library has notebooks for customer segmentation, sales analysis, statistical testing – basically anything you’d want to do with data.

Julius AI notebook templates

Why reinvent the wheel when someone already solved your problem?

I used their “Significance Testing” template last week. Saved me two hours of setup time. Just plugged in my data and got publication-ready results.

Significance testing template in Julius AI

Most AI tools treat literature reviews like any other writing task. Julius AI treats them like data analysis problems – because that’s what they are.

Upload your papers. Ask questions across all of them. Create summary tables. Generate citation networks. Build reusable workflows for different review types.

The Notebooks feature is perfect for systematic reviews.

Build your methodology once, then apply it to new papers as you find them. Share the whole workflow with your research team.

If you’re still copying and pasting between tools, exporting and importing files, or starting your analysis from scratch every time, you’re working harder than you need to.

Try the free plan. Upload some papers. Ask it to find connections between them. You’ll see what I mean.

Pricing

Julius.ai latest price and plans

Free (15 messages), Plus ($20/month for 250 messages), Pro ($45/month for unlimited everything).

Use code DHRUVIR at checkout for an extra 10% off any paid plan.

Read my complete Julius AI review.

#2 — Elicit

Available on: Web.

Elicit AI

Pros

  • Clean, minimal interface that’s easy to navigate
  • Massive research database with over 125 million papers from Semantic Scholar
  • Strong data extraction and synthesis capabilities
  • High accuracy rate (around 90%) with easy source verification
  • Built-in privacy protection for uploaded papers
  • Seamless Zotero integration for importing papers
  • Particularly effective for empirical research in biomedicine and machine learning
  • Notebooks feature for organized research management

Cons

  • Limited to academic paper content (can’t answer questions outside academic literature)
  • Less effective for theoretical or non-empirical domains
  • Not suitable for general fact-finding queries


Elicit is a specialized AI research assistant that automates the tedious parts of academic research—summarizing papers, extracting data, and synthesizing findings.

Unlike general-purpose AI tools, it’s built specifically for academic work.

Praises for Elicit on X
Image source: X

Elicit’s backbone is its massive database of over 125 million research papers from Semantic Scholar, spanning every academic discipline.

You can search through this wealth of knowledge using either keywords or natural language questions.

Each paper comes with a one-sentence abstract summary, and you can easily find similar papers or extract specific details into organized tables.


This table extraction feature is particularly powerful, somewhat similar to what SciSpace offers (more on that later).

Where Elicit really shines is in synthesis—helping you combine insights from multiple papers sharing a common theme.

Finding lists of concept in Elicit

Accuracy is a core focus.

Elicit makes verification simple by linking directly to original sources, and they continuously improve their models through task-specific training.

SIDENOTE: Their sweet spot is empirical research, particularly in biomedicine and machine learning, where experiments and concrete results are the norm.

It’s worth noting what Elicit doesn’t do: it won’t answer questions about information that isn’t in academic papers, and it’s less effective for fact-finding queries (like “How many Teslas were sold in the US last year?”) or theoretical domains.

They’re honest about accuracy, suggesting you assume 90% accuracy and verify important information against original sources.

Privacy is built-in—any papers you upload remain strictly private to your account.

The user interface is intentionally minimal, making it easy to:

  • Find relevant papers
  • Extract data from PDFs
  • Track concepts across multiple papers

Their Notebooks feature helps organize your research systematically, letting you collect and categorize findings in one place.

Elicit Notebooks

For Zotero users, there’s a seamless integration that lets you import papers directly from your Zotero Collections.

Elicit integration with Zotero

While Elicit doesn’t offer the conversational AI features you’ll find in Julius AI, it excels at its core mission: helping you find and analyze relevant papers quickly.

It’s a focused tool that does a specific job extremely well.

I recommend Elicit for researchers who want a streamlined, efficient way to conduct literature reviews and synthesize findings across multiple papers.

Pricing

Elicit AI pricing

Elicit offers four pricing tiers:

Basic (Free) includes access to 125M+ papers, 4-paper simultaneous processing, and 10 monthly PDF uploads. Perfect for students exploring academic research.

Plus ($12/month) upgrades to 8-paper processing, 25 PDF uploads, and adds export options. Ideal for independent researchers.

Pro ($49/month) provides 100 PDF uploads, unlimited high-accuracy columns, and expanded tabular features. Built for professional researchers conducting systematic reviews.

Enterprise (Custom pricing) offers tailored solutions for research teams, with custom limits and collaboration features.

All plans include unlimited database access, with annual billing available for better value.

#3 — SciSpace

Available on: Web, browser extension.

SciSpace aka Typeset.io

Pros

  • All-in-one research platform with a comprehensive feature set
  • Intuitive interface despite multiple complex features
  • Dynamic table creation for customized paper analysis
  • High-quality filter option for accessing top-tier research papers
  • Flexible filtering options (Papers, Topics, Library)
  • Integrated PDF chat and AI writing assistance
  • Built-in literature review generation capabilities
  • Versatile tools including paraphraser and citation generator

Cons

  • Overwhelming for those who need only specific features


SciSpace stands out as an all-in-one AI research tool that manages to pack diverse features into an intuitive interface.

Unlike many specialized tools, it offers a comprehensive suite of research capabilities without sacrificing ease of use.

From literature review generation to PDF chat, AI writing assistance, citation management, paraphrasing tools, and even AI detection – SciSpace serves as a complete research companion.

SciSpace features

Let’s focus on what SciSpace does best: its Literature Review capabilities.

The process starts simply – you pose your research question.

SciSpace literature review

From there, SciSpace offers three powerful filtering options:

  1. Papers: Compare and analyze relevant papers matching your search criteria.
  2. Topics: Extract specific topics and their sources from unstructured text.
  3. My Library: Generate insights from PDFs and bookmarked papers in your personal collection.
Papers, topics and my library in SciSpace

For the highest quality results, toggle on the ‘High Quality’ option. This surfaces answers from up to 10 of the most relevant and authoritative papers related to your query.

High-quality filter in SciSpace

Like Scite, SciSpace provides answers with convenient hover-based citations. But where it really shines is its dynamic table feature – the tool’s true centerpiece.

Remember my earlier comparison to Elicit?

This is where the similarity becomes clear. SciSpace’s dynamic table lets you create and customize columns based on exactly what you need to analyze. With a single click, you can view TL;DR summaries of all relevant papers, for instance.


Impressive stuff!

And while we’ve focused on literature reviews here, remember that SciSpace’s capabilities extend far beyond this.

I encourage you to explore its full range of research tools – each designed to streamline different aspects of academic work.

Pricing

SciSpace's monthly pricing
SciSpace’s monthly pricing

SciSpace offer a limited free plan and a paid plan with a 7-day free trial.

Free Plan includes:

  • Citation generator
  • Basic paper search functionality
  • Standard AI responses
  • Limited PDF uploads

Premium Plan offers:

  • $20/month with monthly billing
  • $12/month with annual billing (60% savings)
  • Unlimited PDF uploads
  • High-quality AI responses
  • Advanced columns feature
  • PDF-to-audio conversion
  • PDF-to-video conversion
  • A complete suite of AI writing tools
  • Chrome extension
  • All premium features are unlocked

💰 Exclusive Discount: I’ve arranged special pricing for my readers:

Annual Plan: Use code DHRUVIR40 for 40% off, reducing the price to just $7.20/month (billed annually).

Monthly Plan: Use code DHRUVIR20 for 20% off, bringing the cost down to $24/month.

#4 — Semantic Scholar

Available on: Web.

Semantic Scholar

Pros

  • Free and open-source with no usage restrictions
  • Massive database of 214+ million papers across scientific disciplines
  • TL;DR summaries provide instant paper overviews without reading full texts
  • Intelligent reference sorting by influence, citations, and recency saves research time
  • AI-powered Research Feeds deliver personalized paper recommendations
  • Built-in library system with collaborative sharing capabilities
  • Simple one-click citation export in common academic formats

Cons

  • Limited to just four citation styles (BibTeX, MLA, APA, Chicago)
  • No built-in PDF annotation or note-taking features


Semantic Scholar stands out in the crowded field of AI research tools by excelling at a crucial task: connecting you with the most relevant papers across all scientific disciplines.

With a database spanning over 214 million papers, Semantic Scholar offers robust search capabilities including filters for journals, conferences, authors, publication types, and date ranges.

But what truly sets it apart is how it makes this vast collection of knowledge accessible and actionable.

At the heart of Semantic Scholar’s user-friendly design is the TL;DR feature.

Every paper you open comes with a concise summary that captures its essential insights, letting you quickly grasp the core concepts without diving into the full text.

Summary in Semantic Scholar

The reference management system goes beyond simple citation lists.

When viewing a paper’s references, you can organize them in ways that surface the most valuable content for your research:

  • Most Influenced Papers
  • Citation Count
  • Recency
Sorting papers in Semantic Scholar

This intelligent organization extends to each reference – they all include their own TL;DR summaries and abstracts, creating a seamless research experience.

TLDR and Abstract in Semantic Scholar

The Related Papers feature further expands your research horizons, suggesting relevant works you might have missed through traditional search methods.

Citation management is streamlined as well. A single click on the ‘Cite’ button lets you copy citations in BibTeX, MLA, APA, or Chicago formats.

Citations in Semantic Scholar

While these four citation styles cover most needs, researchers requiring additional formats should explore the specialized AI citation generators I’ve reviewed in a separate article.

The Library feature transforms Semantic Scholar from a search tool into a complete research management system.

You can:

  • Organize papers into custom folders
  • Export citations in bulk
  • Create public folders for collaboration
  • Enable one-click folder sharing with colleagues

One of the Library’s most powerful features is AI-powered Research Feeds.

AI Research Feeds in Semantic Scholar

By toggling this feature on for any folder, you’ll receive tailored paper recommendations starting the next day.

PRO TIP: For optimal results, group similar papers within single folders – this helps the AI better understand your research interests and deliver more relevant suggestions.

Pricing

Semantic Scholar is free to use.

#5 — Scite

Available on: Web, browser extensions.

Scite.ai

Pros

  • World’s largest citation statement database with over 1.2 billion citations analyzed
  • Smart Citations provide context by classifying supporting vs. contrasting evidence
  • Natural language AI research assistant with reference-backed responses
  • Powerful citation statement search across 200M+ scholarly sources
  • Chrome extension enables citation checking anywhere on the web
  • The reference Check feature helps verify paper citations’ reliability
  • Seamless Zotero integration for reference library management
  • Multiple export formats (RIS, BibTeX, CSV) for citation management

Cons

  • No built-in PDF annotation features
  • Learning curve to effectively use all citation analysis features
  • The interface can be improved


Scite stands out by maintaining what it claims is the world’s largest citation statement database.

Their achievement comes from continuously monitoring over 200 million scholarly sources and analyzing more than 1.2 billion citations.

At the core of their offering are Smart Citations, which provide crucial context by classifying citations as either supporting or contrasting evidence.

Smart Citations feature in Scite

This feature transforms how researchers evaluate scholarly work.

Their AI research assistant particularly impressed me. You can ask questions in natural language and receive responses backed by academic references and citations.

Scite's AI research assistant feature

The interaction feels seamless – you can ask follow-up questions, and with a single click, export all references in RIS, BibTeX, or CSV formats.

Asking a follow-up question in Scite's AI assistant

What I find especially valuable is the hover-based citation lookup. This intuitive feature lets you quickly verify sources without breaking your research flow.

Hover-based citations lookup in Scite

Scite’s Search feature takes literature review to another level. Instead of just finding papers, you can search citation statements directly for specific facts and insights.


Combined with their AI assistant, this feature dramatically streamlines the literature review process.

Their Reference Check feature adds another layer of rigor to your research. Simply upload your paper (PDF, docx, or URL) to evaluate the reliability of its references.

Reference Checks in Scite

To make their tools more accessible, Scite offers a free Chrome browser extension that reveals how research articles have been cited across the literature.

For Zotero users, Scite offers seamless integration through their plugin. It lets you instantly see how articles in your reference library are being cited – whether they’re supported, disputed, or mentioned by other publications.

Pricing

Scite pricing

Getting offers a 7-day free trial that gives you full access to explore their features.

After the trial period, you can continue using Scite for $20 per month, or opt for annual billing at $12 per month for better value.

#6 — Scholarcy

Available on: Web, browser extensions.

Scholarcy

Pros

  • Structured flashcard-style summaries make research papers easily digestible
  • Intelligent ‘Important Points’ feature automatically surfaces key insights with jump links
  • Multiple reader perspectives for re-summarizing content (from high school to researcher level)
  • Integrated note-taking system streamlines research workflow
  • Flexible export options including Word, PowerPoint, Excel, and citation formats
  • Cloud storage integration with Google Drive, Dropbox, OneDrive, and Zotero
  • AI-powered ‘Dig Deeper’ feature for custom document analysis

Cons

  • Non-customizable summary structure limits flexibility in the output format
  • Limited to 10 summaries on the free plan restricts trial usage
  • Fixed flashcard format may not suit all research styles or disciplines


Scholarcy is an AI-powered research tool that transforms how researchers handle academic papers through four core capabilities: summarizing, organizing, analyzing, and synthesizing.

What strikes me most about Scholarcy is how they’ve achieved that rare balance between power and simplicity. Their interface is remarkably minimal yet incredibly capable.

The dashboard exemplifies this elegant design:

Scholarcy interface

You’re greeted with a clean layout: a focused left sidebar containing all options and a central workspace prompting you to begin your first summary. Let’s explore what it can do.

Getting your documents into Scholarcy is flexible and straightforward. You have three options:

Importing documents in Scholarcy
  1. Direct file upload: Supporting comprehensive formats including PDF, Word, PowerPoint, HTML, XML, LaTeX, TXT, CSV, RIS, BIB, and NBIB.
  2. URL or text input.
  3. Cloud integration: Seamlessly connecting with Google Drive, Dropbox, OneDrive, and Zotero.

Once you’ve imported a document, Scholarcy processes it within seconds, generating a structured summary that breaks down the research into digestible components.


Key Feature: Scholarcy’s summarizer uses a consistent flashcard format, organizing content under specific headings like – Snapshot, Key Findings, Objectives, Methods, Results, Conclusions, etc.

This structured approach brings clarity and consistency to your research workflow, though it’s worth noting that the format isn’t customizable.

While some might prefer more flexibility, I’ve found this standardization speeds up the review process.

Where Scholarcy changes gears for literature reviews is its ‘Important Points’ section. The AI intelligently surfaces crucial insights from academic papers, presenting them in an easily digestible format with convenient jump links.

AI important points feature in Scholarcy

Complementing this feature is an integrated notes system in the right sidebar:

Note-taking in Scholarcy

Exporting your work is equally streamlined. Scholarcy supports multiple export formats including Word, PowerPoint, Excel, Markdown, RIS (compatible with Zotero and EndNote), and References.

Exporting literature reviews in Scholarcy

For deeper analysis, Scholarcy includes an AI-powered ‘Dig Deeper’ feature that lets you ask custom questions about your papers.

Dig Deeper in Scholarcy

It also offers an innovative ‘Enhance’ feature for re-summarizing documents based on different reader perspectives:

  • Skim reader
  • General reader
  • High school student
  • Undergraduate
  • Researcher
  • Bullet point lover
  • Custom focus (where you specify topics of interest)
Enhance feature in Scholarcy

While Scholarcy’s free tier limits you to 10 summaries, their paid plan delivers substantial value for serious researchers looking to streamline their literature review process.

Pricing

Scholarcy pricing

Scholarcy offers three pricing tiers:

Free Plan includes:

  • Import multiple file formats
  • Limited to 10 summaries
  • Basic flashcard exports (one at a time)

Monthly Plan ($4.99/month) provides:

  • Unlimited summarization
  • Enhanced summaries
  • Flashcard saving and organization
  • Note-taking and text highlighting
  • Collection organization
  • Bulk export (up to 100 flashcards)
  • Literature Matrix creation
  • One-click bibliography generation
  • 1-week free trial with cancel-anytime policy

Annual Plan ($45.00/year) offers:

  • All Monthly plan features
  • 25% savings compared to monthly billing
  • Works out to just $3.75 per month

The pricing structure makes Scholarcy one of the more affordable options in the market, especially considering its comprehensive feature set.

#7 — Paperpal

Available on: Web, MS Word add-in.

Paperpal

Pros

  • Clean, distraction-free writing interface similar to Grammarly
  • Dual functionality as both writing assistant and research tool
  • Smart “write next” suggestions to overcome writer’s block
  • Seamless Microsoft Word integration through add-in
  • Built-in research and citation tools accessible from the sidebar
  • Advanced grammar and writing style consistency checking
  • Real-time AI writing assistance for academic content
  • Chat PDF feature for quick document analysis

Cons

  • Primarily focused on writing assistance rather than comprehensive research analysis
  • It may be overwhelming for users who need just basic writing help
  • Limited customization options for editing style preferences


Paperpal rounds out my list as a specialized AI academic writing tool that excels at literature review creation.

While tools like Julius AI and Elicit focus on research analysis, Paperpal shines in the writing process itself.

The interface strikes a perfect balance between power and simplicity. You’ll find a Grammarly-style text editor occupying the main screen, with all features neatly organized in the right sidebar.

Paperpal's interface

Paperpal serves as your AI writing companion. The main text editor is where you’ll craft your literature review, with the AI assistant ready to help refine your writing.


One feature I particularly appreciate is the “keep writing” suggestion system. When you hit that dreaded writer’s block, Paperpal steps in with contextually relevant suggestions to keep your writing flowing.

The real magic happens in the ‘Research | Cite’ feature in the right sidebar. Here, you can pose research questions and receive detailed responses complete with citations and related papers.

Research and citations feature in Paperpal

This combination is what makes Paperpal truly powerful.

You get an advanced writing interface that helps you write, revise, and maintain a consistent style, paired with an AI research tool that’s always just a click away.

The result?

A seamless writing experience that saves hours of work.

For researchers who want a dedicated academic writing tool, Paperpal is my top recommendation. It’s that simple.

Beyond its core writing capabilities, Paperpal offers several valuable features:

Additional features in Paperpal
  • Plagiarism Detection: Run free similarity checks to ensure your work’s originality
  • Journal Submission Review: Get comprehensive language edits and technical checks to improve your manuscript’s chances of acceptance
  • AI Review: Receive detailed feedback on your writing’s language, readability, flow, and logical coherence
  • Chat PDF: Upload and analyze PDFs through conversation with AI, extracting insights efficiently

The cherry on top?

All these features are available as a Microsoft Word add-in, transforming your familiar word processor into a full-fledged AI academic assistant.

Pricing

Paperpal's pricing

Paperpal comes with a free plan and a paid plan (they call it Paperpal Prime).

The Free plan gives you 200 monthly language edits and 5 daily AI uses. You get basic features like unlimited citations, 7,000 words of plagiarism checking, and essential writing tools.

Prime unlocks unlimited everything.

At $25/month, you get unrestricted access to language editing, AI features, and advanced plagiarism checking (10,000 words/month). Quarterly ($55) and annual ($139) options offer better value.

For serious academic writers, Prime offers the best value, especially with the annual plan plus discount.

Stop wasting months on literature reviews

These tools turn 18-month research projects into 18-day sprints. You’ll find connections you’d miss, spot gaps faster, and actually enjoy the process.

Pick one tool. Try it on your current project. See the difference.

DISCLOSURE: Some links in this blog post may be affiliate links. This means that if you make a purchase or sign up for a service through these links, I may earn a small commission. However, I want to assure you that this does not affect the price you pay. I only recommend products and services that I genuinely believe in. Learn more.

Dhruvir Zala

Meet your guide
Dhruvir Zala

I help businesses and professionals stop wasting money on the wrong software. Most software reviews are just marketing in disguise. So I started writing the reviews I wish I had: thoroughly tested, brutally honest, and focused on what matters.

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