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Top 6 AI Writing Assistant Tools for Research

Jul 9, 2025 |

26 Mins Read

Many students and researchers today use artificial intelligence (AI) to help improve their writing. These tools are not only for checking spelling or grammar, but they can help organise ideas, improve sentence structure, and manage citations.

Writers working on research papers often spend extra time editing and citing sources correctly. AI writing assistant tools are designed to support those specific tasks by using advanced language technology.

In this article, we explore how AI writing assistant tools like PaperPal, Jenny.AI, Aithor, Wisio.app, Trinka AI, and Grammarly work. Each tool offers a different approach to writing assistance, depending on what kind of research you are doing and what stage you are in.

What are AI Writing Assistant Tools

AI Writing Assistant Tools are software applications that utilise artificial intelligence to enhance writing. They analyse text using machine learning and natural language processing (NLP), which allows them to detect issues with grammar, tone, structure, and clarity.

Natural language processing is a type of AI that helps computers understand and generate human language. This technology allows writing assistants to do more than just catch spelling errors, they can suggest rewording, offer synonyms, and help improve sentence flow.

Early writing tools mainly checked for spelling and punctuation. Over time, they evolved into systems that assist with academic writing, including literature reviews, paper organisation, and citation formatting.

Main benefits of AI writing assistant tools:

Time Efficiency: These tools speed up writing by suggesting edits and checking grammar in real time.
Language Enhancement: They improve sentence structure and formal tone for academic audiences.
Citation Management: Many tools generate citations and apply citation styles automatically.
Research Workflow: Some AI writing assistant tools help structure research papers by suggesting outlines.

Comparing Key Research Writing Assistants

The table below compares six AI writing assistant tools used in academic research:

Tool Name	Best For	Key Features	Free Version
PaperPal	Journal submissions	Journal formatting, grammar checks	Yes
Jenny.AI	Drafting academic content	AI autocomplete, citation generator	Yes
Aithor	Structured drafting	Plagiarism detection, writing suggestions	Yes
Wisio.app	Peer-reviewed feedback	Human and AI editing, multilingual support	Limited
Trinka AI	ESL academic writing	Technical term support, citation formatting	Yes
Grammarly	General writing	Grammar checks, browser integration	Yes

Language Enhancement Capabilities

Each tool approaches grammar, tone, and style differently:

PaperPal: focuses on academic publishing with discipline-specific language suggestions.
Jenny.AI: offers real-time assistance through AI autocomplete for academic writing.
Aithor: helps users draft content with tone guidance and structure prompts.
Wisio.app: provides detailed editorial feedback tailored to scientific writing.
Trinka AI: helps non-native English speakers with academic tone corrections.
Grammarly: covers general grammar improvements but adapts to academic contexts.

Research Focused Features

These tools support research writing in different ways:

PaperPal: supports journal-specific formatting and citation checks.
Jenny.AI: generates in-text citations and formats reference lists.
Aithor: detects unoriginal content and suggests better source integration.
Wisio.app: allows collaborative editing with structured feedback.
Trinka AI: identifies missing citations and formats according to style guides.
Grammarly: includes basic citation suggestions and plagiarism detection.

PaperPal

PaperPal is an AI writing assistant tool that mostly focuses on helping researchers prepare academic manuscripts. It is designed to support you with the process of submitting papers to journals by ensuring that writing meets formatting and language requirements.

The tool includes journal-specific formatting options. This allows researchers and students to format their papers according to the guidelines of a selected journal, including structure, citations, and reference styles.

It also provides language support for technical writing by identifying discipline-specific terminology and suggesting corrections to align with academic tone and clarity.

Key features:

Journal Compatibility: Matches manuscript formatting to journal guidelines, including citation style.
Technical Language Support: Refines field-specific vocabulary and academic phrases.
Integration Capabilities: Connects with research tools like Overleaf and Word.

Jenni AI

Jenni AI helps with research-based writing tasks. It drafts academic content, manages citations, and supports the structure of academic arguments.

The platform generates text based on prompts or uploaded documents. It works with academic papers and uses AI to build sections of content that align with your topic.

Jenni AI also includes citation tools that format references in over 1,700 styles. You can save sources in a library and insert citations directly into your draft while writing.

Key features:

AI-Powered Drafting: Generates academic content from prompts or uploaded research.
Citation Integration: Supports in-text citations and reference management in multiple formats.
Collaborative Features: Enables group access to shared libraries and drafts.

Aithor

Aithor supports the academic writing process while helping maintain originality and proper writing practices.

It checks for unoriginal content by comparing written text against existing sources. This helps users revise their work to reduce overlap and avoid academic misconduct.

The platform allows users to add scholarly sources into their documents with an interface for inserting citations and generating references using common academic styles.

Key features:

Original Content Generation: enhances your writing without compromising your originality
Academic Integrity Tools: Flags duplicated phrases and offers paraphrasing suggestions.
Research Integration: Adds peer-reviewed sources and formats them according to guidelines.

Wisio App

Wisio supports academic collaboration by helping researchers work together on documents and improve their work through structured feedback.

The platform includes systems for reviewers to leave targeted comments on drafts. These comments are organised to help writers identify issues with clarity, logic, or formatting.

It also includes tools for managing research projects with task assignments, progress tracking, and draft organisation. Multiple users can edit documents at the same time, seeing changes in real time.

Key features:

Feedback System: Enables structured peer feedback with in-line comments.
Workflow Management: Supports task tracking and drafting stages for collaborative projects.
Collaborative Editing: Allows multiple users to edit a document simultaneously.

Trinka AI

Trinka AI supports writers who speak English as a second language (ESL). Its tools identify grammar and usage issues common among non-native speakers.

The platform recognises technical language from various academic fields such as engineering, medicine, and social sciences. It suggests corrections based on the context of the discipline.

Trinka also supports researchers preparing manuscripts for publication by checking for consistency with international journal standards, including formatting and language clarity.

Key features:

ESL Support: Offers grammar correction and formal language suggestions for non-native English writers.
Technical Terminology: Refines field-specific vocabulary across multiple disciplines.
Publication Standards: Evaluates manuscripts for compliance with journal requirements.

Grammarly

Grammarly helps users write with correct grammar, punctuation, and clarity. It works in academic, business, and casual writing by scanning text for errors and offering real-time suggestions.

For academic writing, Grammarly supports clarity and formal tone by identifying passive voice, informal phrasing, and awkward sentence structure. However, it does not provide research-specific features like citation formatting.

The tool works across emails, web browsers, word processors, and mobile apps. While helpful for basic academic editing, its focus is on general writing improvement rather than specialised research tasks.

Key features:

Universal Applications: Functions in Word, Google Docs, emails, and browsers.
Tone Adjustments: Offers suggestions to align writing with academic formality.
Integration Ecosystem: Works with Chrome, Microsoft Office, and email clients.

How to Choose the Right AI Writing Assistant for Your Research

Selecting an AI writing assistant depends on your specific academic task. Different tools support different aspects of the writing process.

Evaluating Your Writing Goals

Consider what you're writing before choosing a tool:

For a thesis, look for long-form structuring and reference tracking.
For journal articles, check for journal-specific formatting and academic tone adjustments.
For grant proposals, find tools with outlining and collaborative editing features.

Some tools help generate initial drafts, while others focus on editing, formatting, and feedback.

Integrating AI With Existing Tools

AI writing assistant tools work best when they connect with other research tools. Check if the assistant works with reference managers like Zotero or EndNote to maintain accurate citations.

Many platforms integrate with word processors like Google Docs, Microsoft Word, or Overleaf. Others allow importing and exporting in formats such as .docx, PDF, or LaTeX.

Ensuring Academic Integrity

Using AI writing assistant tools raises questions about originality. These tools don't replace human thinking but assist with language and formatting.

To use AI ethically:

Disclose AI use when required by your institution.
Review all AI-generated content manually for accuracy.
Revise AI-generated text before submission.

Empowering Research Writing and Next Steps

AI writing assistant tools have changed how academic writing is planned and processed. These tools help with grammar correction, citation formatting, and research workflow.

In the future, AI writing assistant tools will likely offer deeper integration with citation managers, research databases, and publishing platforms. Some may add voice input, multilingual support, and automatic journal formatting.

Access to reliable academic sources remains essential for these tools to function effectively. Platforms that provide full-text academic content allow AI writing assistant tools to generate accurate citations and summaries. Zendy offers one such environment by combining scholarly content with AI tools that support literature review and citation.

Discover how Zendy's AI-powered research library can enhance your writing workflow at Zendy.io.

How do AI writing assistant tools maintain academic integrity?

AI writing assistant tools do not generate original research or ideas. They improve grammar, structure, and clarity, allowing the writer's own thoughts and arguments to remain central.

Which AI writing assistant offers the best citation management?

PaperPal and Trinka AI include built-in tools for formatting citations in academic styles. Jenni AI supports over 1,700 citation formats and allows integration with reference managers.

Are free versions of these AI writing assistant tools sufficient for research?

Free versions include basic grammar checks but typically exclude advanced features like formatting, citation tools, or deep academic editing. Paid versions provide more comprehensive research support.

Can these tools help with discipline-specific terminology?

Trinka AI and PaperPal recognise subject-specific vocabulary in fields like medicine, engineering, and social sciences. They check for accuracy and consistency in technical language.

5 Tools Every Librarian Should Know in 2025

The role of librarians has always been about connecting people with knowledge. But in 2025, with so much information floating around online, the challenge isn’t access, it’s sorting through the noise and finding what really matters. This is where AI for libraries is starting to make a difference. Here are five that are worth keeping in your back pocket this year. 1. Zendy Zendy is a one-stop AI-powered research library that blends open access with subscription-based resources. Instead of juggling multiple platforms, librarians can point students and researchers to one place where they’ll find academic articles, reports, and AI tools to help with research discovery and literature review. With its growing use of AI for libraries, Zendy makes it easier to summarise research, highlight key ideas, and support literature reviews without adding to the librarian’s workload. 2. LibGuides Still one of the most practical tools for librarians, LibGuides makes it easy to create tailored resource guides for courses, programs, or specific assignments. Whether you’re curating resources for first-year students or putting together a subject guide for advanced research, it helps librarians stay organised while keeping information accessible to learners. 3. OpenRefine Cleaning up messy data is nobody’s favourite job, but it’s a reality when working with bibliographic records or digital archives. OpenRefine is like a spreadsheet, but with superpowers, it can quickly detect duplicates, fix formatting issues, and make large datasets more manageable. For librarians working in cataloguing or digital collections, it saves hours of tedious work. 4. PressReader Library patrons aren’t just looking for academic content; they often want newspapers, magazines, and general reading material too. PressReader gives libraries a simple way to provide access to thousands of publications from around the world. It’s especially valuable in public libraries or institutions with international communities. 5. OCLC WorldShare Managing collections and sharing resources across institutions is a constant task. OCLC WorldShare helps libraries handle cataloguing, interlibrary loans, and metadata management. It’s not flashy, but it makes collaboration between libraries smoother and ensures that resources don’t sit unused when another community could benefit from them. Final thought The tools above aren’t just about technology, they’re about making everyday library work more practical. Whether it’s curating resources with Zendy, cleaning data with OpenRefine, or sharing collections through WorldShare, these platforms help librarians do what they do best: guide people toward knowledge that matters. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }

Oct 1, 20255 Mins ReadDiscover

Balancing AI Efficiency with Human Expertise in Libraries

AI in libraries is making some tasks quicker and less repetitive. However, even with these advances, there’s something irreplaceable about a librarian’s judgment and care. The real question isn’t whether AI will take over libraries, it’s how both AI and librarians can work side by side. How AI Helps in Libraries Among 2,000 academic library professionals globally, many said they don’t have enough time or budget to learn new tools or skills, a challenge made even harder as global digital content is projected to double every two years. Here’s where AI tools for librarians prove useful: Cataloguing: AI can scan metadata and suggest subject tags in minutes. Search: Smarter search systems help students and researchers find relevant materials without digging through dozens of irrelevant results. Day-to-day tasks: Think overdue notices, compiling basic reading lists, or identifying key sources and trends to support literature reviews. This is where library automation with AI comes in handy. Instead of replacing people, these tools free up time. A librarian who doesn’t have to spend hours sorting through data can focus on supporting students, curating collections, analysing usage statistics to make informed decisions or tracking resource usage against budgets. Where Human Expertise Still Matters AI is fast, but it’s not thoughtful. A student asking, “I’m researching migration patterns in 19th-century Europe, where do I start?” gets much more from a librarian than from a search algorithm. Librarians bring context, empathy, and critical thinking that machines can’t replicate. This is why human-AI collaboration in libraries makes sense. AI takes care of the routine. Humans bring the nuance. Together, they cover ground neither could manage alone. Finding the Balance So how do libraries get this balance right? A few ideas: Think of AI as a helper – not a replacement for staff. Invest in training – librarians need to feel confident using AI tools and knowing when not to rely on them. Keep the focus on people – the goal isn’t efficiency for its own sake, it’s about better service for students, researchers, and communities. Final Thoughts By using AI to handle routine administrative tasks like cataloguing, managing records, or tracking resource usage, librarians free up time to focus on the part of the job that drew them to this profession in the first place: supporting researchers and students, curating meaningful collections, and fostering learning. Combining the efficiency of AI in libraries with the expertise of librarians creates a future where technology supports the human side of education. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }

Oct 1, 20255 Mins ReadDiscover

How AI in Higher Education Is Helping Libraries Support Research

Libraries have always been at the centre of knowledge in higher education. Beyond curating collections, librarians guide researchers and students through complex databases, teach research skills, and help faculty navigate publishing requirements. They also play a key role in managing institutional resources, preserving archives, and ensuring equitable access to information. These days, libraries are facing new challenges: huge amounts of digital content, tighter budgets, and more demand for remote access. In this environment, AI in higher education is starting to make a real difference. How AI Makes Life Easier for Librarians Improving Discovery AI-powered search tools don’t just look for keywords, they can understand the context of a query. That means students and researchers can find related work they might otherwise miss. It’s like having an extra set of eyes to point them toward useful sources. Helping with Curation AI can go through thousands of articles and highlight the ones most relevant to a specific course, project, or research topic. For example, a librarian preparing a reading list for a history class can save hours by letting AI suggest the most relevant papers or reports. Supporting Remote Access Students, researchers and faculty aren’t always on campus. AI can summarise long articles, translate content, or adjust resources for different reading levels. This makes it easier for people to get the information they need, even from home. Working Within Budgets Subscriptions remain a major expense for libraries, and ongoing budget cuts are forcing many academic institutions to make difficult choices about which resources to keep or cancel. For example, recent surveys show that around 73% of UK higher education libraries are making budget cuts this year, sometimes slashing up to 30% of their overall budgets, and collectively spending £51 million less than the previous year. This trend is not limited to the UK, universities in the U.S. and elsewhere are also reducing library funding, which has dropped by nearly 20% per student over recent years. Even top institutions like Princeton have cut library hours and student staffing to save on costs. Subscriptions can be expensive, and libraries often have to make tough choices. AI tools that work across large collections help libraries give students and researchers more access without adding extra subscriptions. Trusted Content Still Matters AI is helpful, but the resources behind it are just as important. Librarians care about trusted, peer-reviewed, and varied sources. Librarians and AI: A Partnership AI isn’t replacing librarians. Instead, it supports the work they already do. Librarians are the ones who guide researchers, check the quality of sources, and teach information skills. By using AI tools, librarians can make research easier for students, researchers and faculty, and they can help their institutions make the most of the resources they have. Final Thoughts AI in higher education is making it easier for libraries to support students and faculty, but librarians are still at the centre of the process. By using AI tools alongside strong content collections, libraries can save time, offer more resources, and help researchers find exactly what they need. With the right AI support, research becomes easier to navigate and more accessible without overcomplicating the process. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }

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