Paperpal vs ChatGPT vs Grammarly: Which is Better for Academic Writing?

Artificial intelligence has transformed how we write, edit, and publish research. For academics, the pressure to produce error-free, well-structured manuscripts is intense. Journal editors demand precision, while grant reviewers expect clarity and persuasiveness. In this context, AI-powered writing assistants like Paperpal, ChatGPT, and Grammarly have become indispensable.

But which one truly serves academics best? While ChatGPT is a flexible conversational AI and Grammarly is the go-to for grammar correction, Paperpal is somewhere in between but specifically built for researchers. In this article, we’ll compare their performance in three areas: Writing, Polishing and integration.

Overview of the Three Tools

What is Paperpal?

Paperpal is an AI-powered writing assistant created for academics and researchers. Check out the deep-dive for a detailed list of Paerpal’s features. It understands discipline-specific terminology, citation conventions, and academic tone. It’s especially useful for researchers preparing manuscripts for journal submissions, as it helps align with editorial standards.

Most importantly, Paperpal is integrated into Google Docs and Microsoft Word using a native sidebar that allows you to edit all of these things outside of the platform. However, after you have completed your manuscript, you can upload it to Paperpal for an additional plagiarism check. Paperpal is included as a chapter in the Effortless Publishing course as well.

What is ChatGPT?

ChatGPT likely needs no introduction, it is an advanced AI developed by OpenAI. In this article, you can replace the words ChatGPT with Gemini, Claude, or DeepSeek, depending on which platform you prefer. Generative AI models are widely recognised for their ability to generate text. However, to use them for academic purposes, you need to generate very specific prompts. For instance, you can make ChatGPT right in your academic voice using this tutorial:

What is Grammarly?

Grammarly is a popular grammar, spelling, and style checker. It integrates with Word, Google Docs, email, and web browsers, making it a handy everyday tool. However, its feedback is more general-purpose and doesn’t cater deeply to academic writing.

Now let’s look at three different use cases to highlight the strengths and weaknesses of each tool in real-world academic contexts.

Task #1: Academic Manuscript Writing and Polishing

The journey from completing research to publishing a paper is particularly challenging for early-career researchers, as high-impact journals like Nature reject around 92% of manuscripts and most top journals have rejection rates of approximately 80%. It’s crucial for junior researchers to recognise that 20-30% of submissions are often deemed unsuitable or outside a journal’s scope, underscoring the importance of manuscript quality from the start. Additionally, poor writing (e.g. excessive jargon, grammatical errors, or unclear presentation) can lead to rejection, regardless of the research’s quality.

The stakes extend beyond simple acceptance or rejection. Poor writing quality, including excessive jargon, grammatical errors, or unclear presentation, may result in rejection despite quality research. This reality places enormous pressure on emerging scholars who must navigate the complex intersection of rigorous research methodology and sophisticated academic communication standards.

Using Paperpal For Polishing Academic Papers

Paperpal’s fundamental advantage lies in its training specifically on academic corpora. This enables it to understand the nuanced conventions that distinguish scholarly writing from general business or creative communication. In more detail, this means>

• Academic writing requires precise terminology, which is often overlooked by general-purpose tools.
• Paperpal helps researchers spot overly strong statements. For instance, it changes phrases like “this proves” to “these findings suggest” or “the evidence indicates.”
• It helps avoid exaggerations that reviewers consider unprofessional.
• Paperpal can natively deal with citations and help you insert them at the right location in the sentence

When rewriting or polishing manuscripts, Paperpal allows you to choose the mode you’d want to use. For instance, you can write very coarse, non-academic prose and ask Paperpal to turn it into something that is publishable:

This means you can save time by writing your paper in plain language, bullet points, and snippets of your notes and then turning it into academic prose using Paperpal.

The tool also recognises disciplinary variations in acceptable language. What constitutes appropriate technical language in biochemistry differs substantially from what is considered acceptable terminology in the social sciences. Paperpal’s training across diverse academic fields enables it to maintain technical accuracy while ensuring the language meets disciplinary expectations.

ChatGPT’s Flexibility with Limitations

ChatGPT’s strength lies in synthesising information from PDFs and notes and transforming it into coherent writing that can be used as a first draft. The Atomic Statement Method is one such application:

However, ChatGPT was built with the general public in mind and tends to simplify its output unless you explicitly instruct it to do otherwise. This creates a significant challenge in academic contexts where precision is paramount. For example, “electrochemical impedance spectroscopy” might get simplified to “a method to test battery performance, ” which clearly should not happen in an academic context, as it is essential jargon.

This tendency extends beyond terminology to conceptual explanations. ChatGPT may suggest removing qualifying statements that seem redundant to general readers but are essential for scientific accuracy. It might recommend eliminating methodological details that appear excessive but are necessary for replication and peer review.

ChatGPT lacks the deep disciplinary knowledge that enables appropriate judgment about what can be simplified versus what must remain technically precise. A physics researcher using ChatGPT might find that the tool suggests changes that improve readability but introduce conceptual inaccuracies that would be immediately apparent to peer reviewers in the field.

However, ChatGPT has a place in the academic process, especially if you ask it to build on existing content. For instance, I successfully used it to write the discussion section after creating an introduction, methods, and results section, and ChatGPT did a decent job at pointing out topics that should to be discussed. In the article below, you can find a really long prompt that can help you do just that:

Grammarly’s Role in Proofreading

Grammarly, like Paperpal, suggests editing individual words in your writing but integrates seamlessly into any software, providing a native interface where you can accept suggestions with a single click. This makes it very easy and quick to use, but often limits the applicability to grammatical errors and aesthetic word choices. Recently, Grammarly has also introduced a large language model-based “improve” or “rewrite” function. However, your ability to customise its voice is limited to a few categories:

If you have ever tried improving something with Grammarly’s built-in “Improve” or “Rewrite” feature, you’ll find it performs very similarly to ChatGPT and requires a lot of tuning to get the tone right. The strength of the tool, therefore, lies in its very intuitive interface and simple one-click rewrite approach.

Summary: Paperpal vs. ChatGPT vs. Grammarly for Academic Writing

All three tools have their place in the academic system:

• ChatGPT is something that helps you conceptualise and create very rough drafts
• Paperpal helps you refine that writing into academic prose using its training on academic work, and in my opinion, it can also teach you how to write better.
• Grammarly is a very convenient way to fix typos and make your writing more fluent and easy to read. It is especially useful if English is not your first language.

Task #2: Abstract & Introduction Refinement for Grant Proposals

For senior researchers, the abstract and introduction are decisive elements of a grant proposal. With major funding agencies awarding only 10–20% of applications, reviewers often skim only the abstract, summary, vitae, and budget before forming their first impression. That means the opening sections must simultaneously showcase intellectual merit, broader impacts, and feasibility. The challenge isn’t writing grammatically correct text, but persuasive language that signals a fit with the agency’s mission and stands out in a crowded field.

ChatGPT: Fuel for Brainstorming and Iteration

ChatGPT is particularly valuable during the early stages of drafting, because it can be customised to any writing style and analyse large bodies of information. ChatGPT can also help even experienced academics avoid falling into a repetitive way of framing their research. Here are some prompts that can help you with that:

• Conceptual Frameworks: It reframes a project across multiple dimensions, namely scientific, societal, industrial, and economic. A materials researcher, for example, might see their work positioned simultaneously as advancing fundamental science, supporting industry competitiveness, and benefiting education. Prompt:

"Reframe my research on <lithium-ion battery recycling> into three perspectives: (1) advancing scientific knowledge, (2) supporting industrial competitiveness, and (3) contributing to environmental sustainability. Provide concise versions suitable for a grant proposal introduction. <Describe your writing style or any formal requirements>"

• Alternative Phrasing: ChatGPT can offer several formulations of a complex idea, allowing scholars to compare versions that range from highly technical to broadly accessible. This is useful for tailoring language to different review audiences. Prompt:

"Rewrite the following sentence in three different ways:
<"This project develops a novel computational model for predicting protein folding.">
Provide one highly technical version, one moderately accessible version for interdisciplinary reviewers, and one broad, societal-impact version."

• Rapid Abstract Prototyping: For researchers managing multiple proposals, ChatGPT can quickly draft abstracts that emphasise different aspects of a project, e.g. novelty, societal benefit, or collaboration. For these types of prompts, uploading additional PDFs can be benfecial. Prompt:

"Draft three versions of a 200-word grant abstract for a proposal on AI-driven climate modeling. 
Context: <Describe what you're working on, or paste any document you want, even a 100-page research manuscript.>
1. Emphasize novelty and technical innovation.
2. Emphasize societal and environmental benefits.
3. Emphasize international collaboration and capacity building."

The limitation, however, is that ChatGPT lacks awareness of grant-specific conventions. It doesn’t know the evaluation criteria or the subtle expectations of the funder. Its outputs require expert review to avoid over-simplification or misplaced emphasis.

Paperpal: Strategic Refinement

Once a draft is in hand, Paperpal excels at the refinement stage. Trained on successful academic texts and proposals, it provides advantages that go beyond grammar correction:

• Sharper Impact Statements: It transforms tentative phrasing (“might improve”) into confident claims (“develops a scalable solution”), aligning with reviewers’ preference for assertiveness and feasibility.
• Alignment with Priorities: Paperpal recognises generic versus funder-specific language, helping researchers signal clear compatibility with agency missions, which is a proven factor in funding success.
• Balanced Innovation Claims: It guides senior researchers in articulating novelty without overstatement, a crucial balance when reviewers already know the field’s history.
• Tone Management: Paperpal ensures proposals convey authority, trimming hedging words that weaken confidence.

Think of ChatGPT as the tool that gives you a big chunk of marble out of the mountain, and Paperpal as a chisel that gives it its shape and precision to create the statue that will be your grand proposal.

Grammarly: Final Professional Polish

Similarly to the previous workflow, Grammarly excels in quick corrections at the final stage of writing. While it cannot judge strategic communication, it ensures proposals meet the high presentation standards expected by reviewers.

Summary: Paperpal, ChatGPT and Grammarly for Grant Writing

When it comes to grant writing, using all three tools might be beneficial: Use ChatGPT to spark ideas, Paperpal to refine strategically, and Grammarly to polish surface correctness. This structured approach acknowledges that funding success depends equally on conceptual framing, strategic alignment, and flawless presentation.

When you are in the final stages of your grant proposal, you can use ChatGPT as a final fourth stage, for example, to peer review your writing. Here is how:

Task #3: Integration into Academic Writing Workflow

The theoretical capabilities of an AI tool are meaningless if it cannot be integrated smoothly into the environments where researchers actually work. The effectiveness of Paperpal, Grammarly, and ChatGPT (or other AI models like Google’s Gemini) as manuscript polishing partners is therefore heavily dependent on the quality and intelligence of their integrations with key writing platforms: Microsoft Word, Google Docs, and, for a significant portion of the academic community, LaTeX editors like Overleaf.

Using AI Integration in Microsoft Word & Google Docs

Microsoft Word and Google Docs are the most common word processors for writing academic papers. We will examine these two for this reason.

• Paperpal and Grammarly both provide a similar user experience in Word and Google Docs, typically operating via a sidebar that displays real-time suggestions without disrupting the writing flow. This allows for an iterative process of writing and refining in a single window. Paperpal’s add-ins for these platforms provide access to its full writing toolkit, including language suggestions, rewrite features, and consistency checks.

• ChatGPT’s integration is generally less direct. While some native integrations are emerging, many researchers rely on third-party browser extensions or a copy-paste workflow. Extensions like “ChatGPT to Google Docs” are designed to export formatted content from a ChatGPT conversation into a document, preserving elements like tables and LaTeX equations. This is a fundamentally different function from real-time, in-document editing and is better suited for drafting than for final polishing.
• Google Gemini as an alternative to ChatGPT for Google Docs: Google has its own ChatGPT competitor, called Gemini, similar to Paperpal. It lives in the sidebar and allows you to modify your text, extract information from it, and even read PDFs that are stored inside your Google Drive. While it has fundamentally the same limitations as ChatGPT (e.g., requiring a lot of fine-tuning for academic purposes), it is generally fairly well integrated into Google Docs.

The Effortless Publishing with AI course focuses on how to maximise the benefits of Gemini and Paperpal within Google Docs as a comprehensive publishing system.

The LaTeX and Overleaf

For researchers in STEM, computer science, mathematics, economics, and many other fields, LaTeX is the non-negotiable standard for manuscript preparation. Overleaf, as the leading online collaborative LaTeX editor, is a critical battleground for AI tool integration. It is here that the distinction between a specialised and a generalist tool becomes starkly and technically apparent.

• Paperpal offers a dedicated Chrome extension engineered explicitly for the Overleaf environment. Its critical feature is that it is LaTeX-aware. The extension’s AI can parse the document to differentiate between the human-language text that needs to be edited and the LaTeX commands (\section{}, \cite{}, \begin{equation}) that must be left untouched. This allows it to provide language and grammar suggestions on the prose itself without altering or breaking the underlying code that structures the document. This is a non-trivial technical achievement and is essential for a safe and productive user experience.   

• Grammarly can also be used in Overleaf via its standard browser extension. However, it is not LaTeX-aware. Its AI treats the entire source code file as plain text. As a result, it frequently flags legitimate LaTeX commands, mathematical expressions, and citation keys as spelling or grammar errors. Worse, it may suggest “corrections” that, if accepted, would break the document’s code and prevent it from compiling. This can make using Grammarly in Overleaf frustrating.

• ChatGPT’s role in the LaTeX ecosystem is primarily as a code generator, not a prose editor. It is exceptionally proficient at generating complex LaTeX code for tables, equations, and document structures based on natural language prompts. This functionality can be integrated into Overleaf via third-party tools like Writefull’s TeXGPT or OverleafCopilot, which provide a ChatGPT-like interface within the editor. This is an invaluable aid for creating LaTeX content but is distinct from the task of polishing the English prose already written within the document.

Key Strengths and Weaknesses of Paperpal, ChatGPT and Grammarly

Each tool offers distinct advantages and limitations. Rather than serving as interchangeable solutions, they complement different stages of the academic writing process:

1. In early drafting, ChatGPT shines due to its ability to use large amounts of contextual information providing flexible solutions with the right prompts.
2. When converting writing to academic prose and polishing your manuscript, Paperpal is a very useful tool that can be used without any customisation to create publishable academic writing.
3. When it comes to correcting typos and improving fluency, Grammarly is highly valuable due to the quality of its integration and one-click changes.

The summary below provides a concise overview of the strengths and weaknesses of each tool, equipping researchers with a clearer understanding of when and how to deploy them most effectively:

Ultimately, recognising these characteristics empowers researchers to maximise the strengths of each tool while minimising the risks of misaligned expectations, resulting in a more efficient and reliable academic writing practice.

When evaluating costs, these tools occupy different price tiers that reflect their specialized capabilities. Paperpal offers its annual plan at $6.90/month when billed annually (approximately $84 per year), positioning it competitively within the academic writing tool market. Grammarly Pro costs $6/month when billed annually (around $72 per year). ChatGPT Plus at $20/month represents a moderate investment for general AI assistance, while ChatGPT Pro at $200/month targets professional users requiring unlimited access and advanced features.

Academic researchers working on extensive scholarly documents such as dissertations or peer-reviewed articles will find the enhanced functionality particularly worthwhile given the specialized demands of their writing projects. You can access a 30% discount on Paperpal Prime by applying the promotional code ILYAPRIME30 at checkout.

Summary

AI writing assistants are no longer just convenience tools. They’re shaping the way academics produce, refine, and publish research.

• Paperpal leads with its academic focus, making it the best choice for journal submissions and grant proposals.
• ChatGPT offers flexibility and brainstorming power, ideal for early drafts and creative rephrasings.
• Grammarly remains a trusted proofreading partner, catching errors and improving readability.

For most researchers, the ideal approach isn’t choosing one but combining these tools at different stages of writing. Together, they create a powerful workflow, from drafting and refining to proofreading and submission.

In short, Paperpal is the academic specialist, ChatGPT is the creative assistant, and Grammarly is the reliable proofreader.