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EssentAI
EssentAI — A desktop literature review assistant for Windows and macOS that helps you organise, review and synthesise the articles in your own research library.
About EssentAI
Spend less time searching back through papers
A literature review means reading dozens of articles and then trying to find the one passage you remember from three weeks ago. EssentAI is a desktop application for Windows and macOS that keeps your literature organised and puts the key information from each article in front of you, so you can spend your time reading and writing.
Who it is for
EssentAI is built for anyone writing a literature review: honours, masters and doctoral students, academics preparing journal articles and researchers working on reports or grant applications. It works in any discipline. Nothing in the app assumes a particular field of study.
How it works
Create a project for your thesis, paper or research question. Each project keeps its own collection of articles, and the All view lets you reuse an article in a new project without importing it again.
Find articles with the built in search, which queries academic sources from inside the app. You can filter by date range, broaden a search with AI when you are exploring a new area and save searches to reopen later.
Add a PDF and EssentAI extracts the title, reference, summary, research gap, research problem, theories and frameworks, key constructs, methodology and key findings into a single Article Details card. You can judge whether an article is relevant before you commit time to reading it in full.
Track your progress with status labels such as To read, Reading, Key article, Seminal work, Use in writing and Exclude.
Take notes by highlighting text and sending it to a themed notebook. A citation is added automatically in your chosen style, including APA 7 and Harvard.
Synthesise across your library with the synthesis matrix, get citation recommendations drawn from articles you have already reviewed and paraphrase selected text as you write.
Export references in RIS format for use with your reference manager.
Your library stays on your device
EssentAI is local first. Your projects, article records and notes are stored on your own computer. The AI features use the OpenAI API with your own API key, which is stored on your device. When you use an AI feature, the relevant text is sent from your computer to OpenAI under your own account. EssentAI does not route your library through its own servers. Search, AI features and subscription checks need an internet connection.
What it does not do
EssentAI does not replace critical reading or scholarly judgement. It helps you organise your sources and find information quickly, so you can make better decisions about what to read closely and how the literature fits together.
Pricing
EssentAI uses a subscription for the app, with a short free trial. AI usage is billed separately by OpenAI to your own account, so you decide how much credit to add and when.
- Who it is for
- Students, academics and researchers in any discipline who are writing a literature review, thesis or journal article from a growing library of papers.
- Problem it solves
- A literature review means working through dozens of papers, often over months. Key details end up spread across PDFs, highlights and separate documents, so researchers lose time searching back through papers for a finding, a method or a quote they half remember. It is also hard to judge whether a new article is worth reading in full and to see how the literature connects across theories, methods and findings.
- The solution
- EssentAI keeps each review in its own project. When you add a PDF, it pulls the summary, research gap, theories, constructs, methodology and key findings into one card, so you can quickly decide whether a paper is relevant. You can tag articles by reading status, send highlighted passages to themed notebooks with automatic APA 7 or Harvard citations, compare articles in a synthesis matrix and get citation suggestions from articles you have already reviewed.
- What makes it unique
- EssentAI is a desktop app, and your library stays on your own computer rather than in someone else’s cloud. AI features run on your own OpenAI API key, so you control the cost and EssentAI does not pass your library through its own servers. It works in any discipline and is built around the review workflow from search to synthesis. It supports your critical reading and does not replace it.
Starting price: AU$9.99 per month
View current pricingFeatures
Projects for each review
Keep each thesis, paper or research question in its own project and reuse articles across projects without importing them again.
Structured article review
Add a PDF and get its summary, research gap, theories, constructs, methodology and key findings in one card.
Built in academic search
Search academic sources from inside the app, filter by date and save searches to reopen later without using API tokens.
Notebooks with automatic citations
Send highlighted passages to themed notebooks with citations added in APA 7 or Harvard style.
Synthesis matrix
Compare articles side by side to see how theories, methods and findings connect across your library.
Citation recommendations and paraphrasing
Get citation suggestions drawn from your own library and rephrase selected text while you write.
Details
- Platforms
- Windows
- macOS
- Pricing
- Free trial
- Paid
- Subscription
- Built for
Students, academics and researchers in any discipline who are writing a literature review, thesis or journal article from a growing library of papers.
- Building since
2026
Technology
EssentAI product screenshot
1 / 4Website performance
Recorded mobile lab measurements and finalized weekly standings from IndieTools Speed.
Measured · UTC
- Load time
- 1.52 s
- FCP
- 1.96 s
- LCP
- 1.96 s
- CLS
- 0.030
- TTFB
- 128 ms
- TBT
- 503 ms
- Speed index
- 3.97 s
These stored lab observations describe controlled test runs. They are not real-user Core Web Vitals or a guarantee of search rankings. Weekly standings below remain attached to their finalized edition.
- Overall rank
- Not finalized
- Best overall rank
- Not finalized
- 0 top 10 finishes
- Best category rank
- Not finalized
- 0 category wins
- Latest change
- -5 score
- No finalized score yet
Method: psi-mobile-two-sample-mean-v1 · 2 samples per reading. Only readings with the same recorded method and sample count share a chart. Lab results can vary between runs.
Website performance history
Inspect every successful mobile Lighthouse lab measurement by metric and date range.
Range
Latest score
83 / 100
Higher is better
5 measurements
Use the left and right arrow keys to inspect measurements. Use Home or End to jump to the first or last measurement. Press Escape to dismiss the chart tooltip.
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