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Literature review workflow

Generate a literature review from selected papers with traceable citations

Turn a focused research question into retrieved papers, relevance scores, evidence notes, and a reviewable first draft without losing the citation trail.

Start your review Search papers
What this tool helps you do

LitSynth is an AI literature review generator for researchers who want a cited first draft from retrieved and selected papers. Search a focused question, screen the results, select evidence, generate a structured synthesis, and inspect claim-level citation support before export. Traceable citations make review easier; they do not guarantee that every claim is supported or that the search is complete.

Illustrative example

See a cited literature review, paragraph by paragraph

An editorial illustration based on published abstracts, not a generated LitSynth run. Read the source papers before using these statements in research.

Research question

What do the STEP 1 trial and its extension report about weight change during semaglutide treatment and after withdrawal in adults without diabetes?

Two purposefully selected publications about one trial and its follow-up. This is an illustrative reading exercise, not an exhaustive search or two independent trials.

Sample review output · source-linked draft

01Treatment period

STEP 1 compared once-weekly semaglutide with placebo, both alongside lifestyle intervention, in adults with overweight or obesity without diabetes. At 68 weeks, average weight reduction was greater in the semaglutide arm. The study also reported gastrointestinal adverse events. [1]

02After withdrawal

The extension followed a subset after both study treatment and lifestyle intervention ended. Weight regain was observed during the following year. These exploratory follow-up results concern selected completers and should not be treated as an independent randomized comparison of withdrawal strategies. [2]

03Synthesis and limits

Treatment-period weight change and maintenance after withdrawal answer different questions. Read them together while preserving the difference between the randomized trial and its exploratory extension. These two reports alone cannot establish a complete evidence base, comparative effectiveness against other drugs or an individual treatment recommendation. [1][2]

Source papers & manual checks

  1. [1] Wilding et al. · New England Journal of Medicine · 2021

    Once-Weekly Semaglutide in Adults with Overweight or Obesity

    DOI: 10.1056/NEJMoa2032183

    Randomized trial · adults without diabetes · 68 weeks

    Check eligibility, intervention, endpoints and adverse events in the original paper.

  2. [2] Wilding et al. · Diabetes, Obesity and Metabolism · 2022

    Weight regain and cardiometabolic effects after withdrawal of semaglutide: The STEP 1 trial extension

    DOI: 10.1111/dom.14725

    Exploratory extension · selected completers · off-treatment follow-up

    Check follow-up selection and the simultaneous withdrawal of lifestyle intervention.

No complete systematic review, independent screening, pooled estimate or automated audit score is claimed for this illustration.

Editable workflow

From research question to a review you can inspect

Each stage stays visible, so you can revise the scope or evidence choices before generating again.

  1. 1

    Enter a research question in plain language.

  2. 2

    Review retrieved papers and AI relevance scores.

  3. 3

    Select the papers that should support the draft.

  4. 4

    Generate a cited synthesis and inspect the evidence coverage.

Best for

  • Creating a reviewable first draft from selected papers
  • Screening evidence before synthesis
  • Organizing findings into themes with traceable citations

Not a replacement for

  • Submitting AI output without checking every claim
  • Replacing subject expertise or academic judgment

Facts on this page

Search
Selected evidence

search results stay visible for screening before drafting

Drafting
Cited

sections remain tied to source papers for follow-up review

Workflow
Screen first

ranking and selection happen before paid review generation

Limits stated on this page

  • LitSynth drafts are starting points for human academic review, not final scholarly authority.
  • Citation audit flags support coverage, but users should verify claims before submission.
  • Access to the drafting workspace still follows the current login-first product strategy.

Keep evidence decisions visible

LitSynth treats AI as support for a review process. You keep control of which papers enter the evidence set and which claims need another check.

Generate a structured literature review draft from selected papers.

Keep citations connected to the papers that support each section.

Move from broad discovery to a narrower evidence map before writing.

Export review-ready material after checking citation coverage.

Questions researchers ask

What does a literature review generator output?

A reviewable draft can include a question and scope, thematic sections, a synthesis of selected findings, limitations and references. The example on this page shows short cited passages alongside their original papers. Actual output depends on your question, selected evidence and review mode.

Is the example a complete systematic review?

No. It is an editorial illustration based on two linked publications, not a generated LitSynth run. The publications describe the same trial and its follow-up; they are not independent trials. No exhaustive search, independent screening, risk-of-bias assessment or meta-analysis was performed.

Can I generate a literature review for free?

Viewing this example requires no account. Draft generation requires sign-in and follows the current credit policy shown in the workspace and on the pricing page. Review the selected papers and displayed cost before starting generation.

Can AI write my literature review automatically?

LitSynth can generate a cited first draft from selected papers, but the final review still needs human judgment, claim checking, and domain-specific editing.

How do I write a literature review with AI without hallucinated references?

Retrieve papers before drafting, confirm their bibliographic records, and select the evidence that fits your question. LitSynth uses that selected set for drafting and citation audit. Open the original source for important claims, check whether it supports the exact wording, and revise or remove unsupported passages. This reduces risk; it cannot guarantee a hallucination-free review.

What is different from a chatbot?

A chatbot starts from conversation. LitSynth starts from a research workflow: retrieval, relevance scoring, paper selection, synthesis, and citation audit.

Continue your research workflow

Audit citations in your draftSummarize papers before screening

Build the review, then revise any step

Search papers, screen the evidence, generate a cited draft, and return to earlier decisions whenever the scope needs to change.

Start your review
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