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Best of · 22 tools ranked

Best Free AI Research Tools

Find the best free AI research tools by what the free plan lets you do before a limit stops you: a search allowance, a seed list, a page count or a monthly pot of reports. The page is split into systematic review platforms, literature search tools and paper readers, so you compare like with like. Each entry names the limit that matters most.

Updated 3 October 2026Ranked by our score, worked out from each vendor’s own pages.How we score →All AI Research Tool →

Our top 3 Free AI Research Tools

#1 in systematic review platforms

Rayyan: #1 in systematic review platforms

From $8.33 · free plan
8.2Score 8.2 out of 10

Screening references is the whole job here. Rayyan covers deduplication, PRISMA flow diagrams and an app for iOS and Android with offline support, and a free tier is available indefinitely.

#1 in literature search tools

Elicit: #1 in literature search tools

From $19 · free plan
7.8Score 7.8 out of 10

The free Basic plan gives limited use of the Research Agent and Research Reports, and it is more than a teaser.

#1 in paper readers

Anara: #1 in paper readers

From $12 · free plan
7.3Score 7.3 out of 10

Free means 2,000 AI words and 5 uploads a day, with each import capped at 20MB or 120 pages, so it suits steady daily reading better than one marathon session.

Best free systematic review platforms

3 picks

Free AI for systematic reviews comes in a few forms. Silvi allows unlimited reviews but keeps its AI on Rapid, and Sysrev allows unlimited public projects but holds private ones for Premium. Rayyan has a free tier with no end date and is the one built around screening, deduplication and PRISMA diagrams. Pick Silvi for traced PDF data extraction, Sysrev for open team labelling and Rayyan for screening.

#1Rayyan: Best for screening references for a systematic review

8.2Score 8.2 out of 10

Free plan, limits not published

Paid $8.33/mo
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Rayyan homepage

Screening references is the whole job here. Rayyan covers deduplication, PRISMA flow diagrams and an app for iOS and Android with offline support, and a free tier is available indefinitely. The AI-powered tools are listed under the paid Essential plan, which is billed quarterly. It does no database searching of its own, so you bring RIS or BibTeX files from PubMed or Embase. Pick it over Silvi when you screen away from a desk.

  • The Systematic Auto-Resolver deduplicates references quickly using a configurable protocol, solving one of the most tedious parts of multi-database systematic reviews.
  • ResearchPilot AI provides zero-shot relevance ratings, meaning it can score reference relevance without requiring training examples from the user.
  • The tool does not perform its own database searches, users must import references manually from external sources like PubMed or Embase in RIS or BibTeX format.

#2Silvi: Best for auditable reviews with traced PDF extraction

5.5Score 5.5 out of 10

Unlimited reviews, manual screening and data extraction, no AI

Paid $43 (€40)/mo
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Show more about Silvi
Silvi homepage

Silvi's free Basic plan allows unlimited reviews with manual screening and data extraction that keeps a link to the highlighted spot in the PDF, but no AI. AI screening and extraction start on Rapid. You import from PubMed, OpenAlex and ERIC or from Zotero, since search happens on those sites. There is no mobile app. Pick it over Rayyan when you want each extracted value tied to its place in the source.

  • Built specifically for systematic literature reviews, covering the full review pipeline from search to data extraction and synthesis.
  • Database imports from PubMed, OpenAlex, and ERIC are supported, though search happens on each database's own site before importing into Silvi; Zotero import is also supported.
  • No mobile app, limiting flexibility for researchers whose workflow moves across devices or contexts.

#3Sysrev: Best for labelling document sets with a team

5.1Score 5.1 out of 10

Unlimited public projects and reviewers, lifetime public storage

Paid $50/mo
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Sysrev homepage

Free covers unlimited public projects, unlimited reviewers and lifetime storage for public projects, so it fits an open review with a team of any size. Private projects, the Auto Labeler and Sysrev Analytics sit behind Premium. It searches PubMed and OpenAlex and takes PDFs, text and JSON, while other sources need your own documents. Pick it over Silvi when many reviewers must label together without paying.

  • Supports a wider range of input formats than most competitors, including PDFs, title-abstract pairs, plain text, and structured JSON.
  • The AI Auto Labeler automates document labeling, reducing manual workload for large document sets.
  • No general web search, though PubMed and OpenAlex search are built in, for other sources, users must supply their own documents.
All systematic review platforms, ranked →

Best free literature search tools

12 picks

Any AI literature review tool free to use counts something: queries at AnswerThis, messages and reviews at Consensus, seed articles at ResearchRabbit, inputs at Litmaps. Semantic Scholar counts nothing at all. Elicit and Undermind meter their deeper searches, while Scite's free tier runs through ChatGPT or Claude. Use Semantic Scholar to find papers, Elicit or Undermind to synthesise them, ResearchRabbit or Litmaps to map them.

#4Elicit: Best for searching papers and pulling out data

7.8Score 7.8 out of 10

Limited Research Agent and Research Reports

Paid $19/mo
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Show more about Elicit
Elicit homepage

The free Basic plan gives limited use of the Research Agent and Research Reports, and it is more than a teaser. Search runs across 138 million papers without needing exact keywords, and results can come back as a table or CSV. Heavier use moves to Plus. Choose Elicit over Consensus when you want data pulled out of papers, not a quick read on a claim. It searches a curated academic database, not the open web.

  • Semantic search across 138 million academic papers means users don't need exact keyword phrasing to find relevant literature.
  • Built specifically for rigorous, citation-dependent research workflows rather than general-purpose AI use.
  • Not designed for general-purpose AI queries, so users expecting quick answers or tidy summaries will be disappointed.

#5Paperguide

7.7Score 7.7 out of 10

Free plan, limits not published

Paid $19/mo
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Show more about Paperguide
Paperguide homepage
  • Answers to research questions cite every claim to its source paper.
  • Systematic reviews run from protocol through dual screening to PRISMA reporting, from Plus up.
  • There is no citation map and no alerts for new papers.

#6AnswerThis: Best for citation-backed literature reviews from scratch

6.8Score 6.8 out of 10

5 basic queries, 50 PDF library, 250M+ paper search, AI Writer

Paid $35/mo
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Show more about AnswerThis
AnswerThis homepage

Five basic queries and a 50 PDF library come with the free plan, plus the 250 million paper search and an AI Writer that turns several papers into a cited summary. Zotero and Mendeley sync is included from free upward, capped at the same library size. Systematic review pipelines start on Pro with two a month. Choose it over ResearchRabbit when you want a written, cited summary and not only a map of related papers.

  • PRISMA-compliant systematic review pipelines set it apart from lighter competitors like Consensus or Research Rabbit.
  • Searches a database of over 250 million papers, giving researchers broad and deep coverage.
  • Free users face PDF upload caps, limiting usability without a paid plan.

#7Consensus: Best for seeing how evidence backs a claim

6.7Score 6.7 out of 10

Unlimited basic searches, 10 Pro messages, 3 Deep reviews

Paid $20/mo
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Consensus homepage

Unlimited basic Papers searches come free, along with 10 Pro messages and 3 Deep reviews each month, and the reset date shows in account settings. Answers draw on over 220 million peer-reviewed papers, and the Consensus Meter shows how strongly the evidence supports or contradicts a claim. There is no mobile app. Pick it over Elicit when you need a fast read on a yes or no question, not extracted data.

  • Pulls answers from over 220 million peer-reviewed papers, not blogs or news articles, ensuring high-quality academic sources.
  • The Consensus Meter provides a visual summary of how strongly existing evidence supports or contradicts a claim, saving synthesis time.
  • No mobile app exists, which is a significant gap for clinicians needing quick literature checks away from their desk.

#8R Discovery: Best for staying current with new papers

6.5Score 6.5 out of 10

Free plan, limits not published

Paid $6/mo
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Show more about R Discovery
R Discovery homepage

R Discovery is for staying current: it recommends papers from interests you set, keeps a reading list and gives AI summaries for deciding what deserves a full read, though those summaries are for triage and not for what a paper argues. It claims 300 million articles and has iOS and Android apps and a Chrome extension. CSV, Excel and XML exports belong to Prime. Pick it over Semantic Scholar if you want recommendations pushed to you.

  • Covers a very large article database for broad literature access.
  • AI-generated summaries help researchers quickly triage papers and decide what is worth reading in full.
  • AI summaries are useful for triage only and do not capture what a paper actually argues at a deeper level.

#9Semantic Scholar: Best for broad paper search with no plan cap

6.0Score 6.0 out of 10

Full access to search across 236M+ papers, Semantic Reader, Scholar's Hub, and API

Not listed
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Semantic Scholar homepage

There is no paid tier to run into: search across 236 million papers, the Semantic Reader and the API are all free. Search is semantic, so loose or conceptual queries still return relevant papers, and the Reader adds extracted citation data and AI summaries on the paper itself. It has no browser extension or mobile app. Pick it first when the goal is finding papers, then add Elicit or Consensus for synthesis.

  • Completely free with no paywalls, paid plans, or enterprise pricing tiers, the entire tool is accessible without any cost.
  • Indexes over 200 million papers across STEM, social sciences, and humanities, making it one of the largest academic search databases available.
  • As a free, nonprofit tool, it likely lacks the customer support infrastructure and dedicated account management that paid enterprise tools offer.

#10Scite: Best for seeing whether later papers back a claim

5.8Score 5.8 out of 10

Free Connect tier, used through ChatGPT or Claude, no credit card

Paid $20/mo
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Scite homepage

The free Connect tier works through ChatGPT or Claude and needs no credit card, so you ask in those apps while Scite supplies the evidence. Its Smart Citations label a paper as supported, contradicted or merely mentioned by later research, down to the sentence. The full site, with Assistant queries and Smart Citation Reports, starts on Basic. Choose it over Consensus when you need to see how later papers treated one specific claim.

  • Smart Citations tag exactly how each paper was treated by later research, supported, contradicted, or mentioned, giving researchers meaningful context beyond raw citation counts.
  • Full-text search across 300 million+ scholarly articles, preprints, patents, and datasets rather than just metadata or abstracts.
  • No mobile app is available, limiting access for researchers who work on the go.

#11Undermind: Best for deep searches that follow citation trails

5.4Score 5.4 out of 10

Strong AI models, deep searches, reports, shared projects, standard rate limits

Paid $20/mo
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Undermind homepage

Free gives deep searches, reports and shared projects at standard rate limits, while Pro raises usage tenfold. It reads full texts, follows citation trails, asks follow-up questions before searching, and links every claim in a report to its source paper. It is English-only and web-only. Pick it over Elicit when finding every relevant paper matters more than a table, and over Keenious when you want depth over a field overview.

  • Traceable inline citations allow every claim in a generated report to be verified by clicking through to the original source paper.
  • The system reads papers at full-text level rather than just abstracts, enabling deeper comprehension than most literature search tools.
  • Undermind is English-only, limiting its usefulness for researchers working in or across other languages.

#12Keenious: Best for mapping an unfamiliar field visually

5.1Score 5.1 out of 10

5 AI responses per conversation, 3 conversations a day, 3MB uploads

Paid $10/mo
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Keenious homepage

The free tier gives five AI responses per conversation, three conversations a day and 3MB uploads, which dense PDFs outgrow fast. What you get is the field map, showing how clusters of research relate, plus conversational explanation for someone entering an unfamiliar topic. Unlimited conversations arrive on Individuals. Pick it over ResearchRabbit when you want a field overview before you have any seed papers. It has no mobile app.

  • Field map visualization shows how different research clusters relate to each other, offering a genuinely unique spatial view of academic literature.
  • Combines visual research mapping with conversational AI in a way that competitors like Elicit and Consensus do not replicate.
  • Free tier document upload is capped at 3 MB, which is too small for many dense academic PDFs.

#13Litmaps: Best for tracking a topic as a citation graph

4.0Score 4.0 out of 10

Up to 20 inputs, 2 Litmaps, 100 articles per map, basic search, monthly literature alerts

↻ Renews monthlyPaid $12.50/mo
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Litmaps homepage

Free allows 20 inputs, 2 Litmaps and 100 articles per map, with basic search and monthly alerts, and a literature review passes 20 seed papers quickly. Maps turn citation networks into explorable graphs, and you can bring in references by BibTeX or RIS. Exports cover BibTeX, RIS and CSV, with two-way Zotero sync on Pro. Pick it over ResearchRabbit when a date-against-citations graph helps you think.

  • The interactive visual citation graph format is genuinely differentiated from standard database-style literature review tools.
  • Automatic 'Alerts' feature passively monitors for new relevant literature, which is valuable for researchers with ongoing long-term projects.
  • Export supports BibTeX, RIS, and CSV, with no browser extension or Google Docs/Notion export available (a two-way Zotero sync is now documented on Pro).

#14ResearchRabbit: Best for finding related work from seed papers

4.0Score 4.0 out of 10

Unlimited searches across 310M+ articles, up to 50 seed articles, unlimited library and collections, collection sharing

Paid $12.50/mo
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ResearchRabbit homepage

Searches, library and collections are unlimited on free, and you start from up to 50 seed articles, from which it follows citation patterns and author networks across 310 million papers. Zotero sync is well built. The seed cap is the catch, since a large review outgrows it, and ResearchRabbit+ allows 300. Pick it over Litmaps when you want the larger seed list. There is no mobile app or browser extension.

  • Visual citation mapping gives research a spatial shape rather than a flat list, making it easier to spot clusters and connections.
  • Zotero integration is genuinely well-built, syncing collections automatically without manual exports between tools.
  • The free tier caps seed articles at 50, which may limit users working on large-scale systematic reviews.

#15Connected Papers

3.8Score 3.8 out of 10

Free plan, limits not published

Paid $10/mo
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Show more about Connected Papers
Connected Papers homepage
  • The free tier includes every feature and 5 graphs a month.
  • Prior Works and Derivative Works views show a field's earlier and later papers.
  • It has no AI reading, answering, summarizing or writing features.
All literature search tools, ranked →

Best free paper readers

7 picks

Free AI for research papers is metered by what you upload. Anara counts words and uploads per day, Humata pages per month, Avidnote words and readings, Logically interactions and Scholarcy summaries. NotebookLM and Explainpaper are the easiest to plan around, with a 50-source notebook and unlimited highlight explanations. Pick NotebookLM for several sources at once, Explainpaper for one hard paper and Anara for cited answers.

#16Anara: Best for cited answers across your document library

7.3Score 7.3 out of 10

2,000 AI words/day, 5 uploads/day, 20MB/120 pages per import, GDPR only

Paid $12/mo
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Anara homepage

Free means 2,000 AI words and 5 uploads a day, with each import capped at 20MB or 120 pages, so it suits steady daily reading better than one marathon session. Answers trace back to the source passage, and it searches your uploads and academic databases together. Zotero and Mendeley connectors start on Plus. Pick it over Google NotebookLM when you want outside papers searched alongside your own files.

  • Supports document libraries of up to 10,000 pages per upload, far exceeding most comparable tools.
  • Every AI-generated answer is traceable back to the specific source passage, eliminating hallucinated citations.
  • Founding date and headquarters are not publicly disclosed.

#17Scholarcy: Best for turning papers into quick flashcard summaries

6.0Score 6.0 out of 10

Up to 10 summaries, export one flashcard at a time, range of file formats

Paid $10 (€8.99)/mo
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Scholarcy homepage

Up to 10 summaries come free, each turning a PDF or Word file into a flashcard-style breakdown, with flashcards exported one at a time. It cannot search databases or find papers, so it works once you already hold the papers. Zotero integration is available, and the library and one-click bibliographies arrive with the paid plan. Pick it over Explainpaper when you need whole papers summarised, not single passages explained.

  • The flashcard-based summary format is specifically tailored to academic reading workflows, making it more useful than generic AI summarizers.
  • The Enhance feature allows users to dial in summary depth, from a single-sentence overview to a detailed researcher-level breakdown.
  • Scholarcy is not a discovery engine, it cannot search academic databases or find papers for you, limiting its utility in the research workflow.

#18Logically: Best for writing and citing in one workspace

5.5Score 5.5 out of 10

All products, limited to 5 AI interactions/day per feature, 100MB storage, standard AI models

Paid $30/mo
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Logically homepage

Five AI interactions per feature each day and 100MB of storage come free, spread across a writer, research assistant, reference manager and PDF annotator. Free exports carry a PDF watermark. Citations run to over 10,000 styles, and Claude, Gemini and ChatGPT models are all available. Pick it over Scholarcy when you write and cite in the same place. The Unlimited plan removes the daily counts and has a 50% student discount.

  • Bundles a document writer, research assistant, reference manager, and PDF annotator into one unified workspace, eliminating the need to switch between multiple tools.
  • Supports three AI models, Claude, Gemini, and ChatGPT, within the same product, which is rare among competitors that typically commit to a single model.
  • Documentation is vague about how to switch between AI models and when each one is used.

#19Google NotebookLM: Best for questions about sources you upload

4.9Score 4.9 out of 10

Up to 50 sources per notebook, standard Audio and Video Overviews

Not listed
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Google NotebookLM homepage

Free allows up to 50 sources per notebook with standard Audio and Video Overviews, and answers come only from what you upload, each with a citation to the passage. It takes PDFs, Google Docs, audio, video, URLs and plain text. It cannot fill gaps from outside knowledge, so it will not find papers for you. Pick it over Humata when your sources are mixed formats. Plus raises the ceiling to 100 sources.

  • The free tier is genuinely capable, handling up to 50 sources per notebook without requiring a paid subscription.
  • Responses are constrained strictly to user-uploaded sources, with citations pointing back to the exact document and passage, making outputs verifiable.
  • Output formats like slide decks and infographics feel outside the tool's core identity and may reflect feature sprawl rather than focused improvement.

#20Avidnote: Best for transcribing and coding interview recordings

3.8Score 3.8 out of 10

5,000 AI words, 10 AI readings, 2 hrs transcription, 300 MB storage, 10 paper uploads

Paid $19/mo
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Avidnote homepage

The free plan holds 5,000 AI words, 10 AI readings, 2 hours of transcription, 300MB and 10 paper uploads, which works as a taster of the whole workspace. It reads and annotates PDFs, transcribes interviews and codes themes, which is what sets it apart for qualitative researchers. Documents are not used for AI training. Pick it over Logically when your raw material is interview recordings.

  • All-in-one research workspace keeps PDF reading and note-taking in the same window, eliminating constant context switching.
  • Automatic interview transcription supports numerous languages and delivers transcripts in minutes from uploaded audio files.
  • Founding date and corporate history are not publicly available.

#21Humata: Best for asking questions across your own PDFs

3.5Score 3.5 out of 10

Sixty pages a month for one user, no credit card needed

↻ Renews monthlyPaid $9.99/mo
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Show more about Humata
Humata homepage

Free caps out at sixty pages a month and one user, so it suits a short reading list, not a library. What it does well is questions across several files with inline citations that point to the exact source page. It has no web search and no connection to academic databases. Expert raises the allowance to 500 pages a month and up to 3 users. Pick it over Explainpaper to compare several PDFs at once.

  • Inline citations link directly back to the exact source page, making claim verification fast and reliable.
  • Cross-document querying allows users to actively compare and search across multiple files simultaneously, not just read them in parallel.
  • No web search capability whatsoever, if the answer isn't in an uploaded file, Humata cannot find it.

#22Explainpaper: Best for decoding confusing passages in one paper

3.3Score 3.3 out of 10

Unlimited highlight explanations, follow-up questions, Zotero import, basic AI models

Paid $16/mo
Show details
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Explainpaper homepage

Unlimited highlight explanations and follow-up questions are free, and Zotero integration comes on both plans. Select a confusing passage and it explains it in plain language at an adjustable difficulty. Full-paper summaries, paper Q&A and math or figure explanations need Pro, which has a 7-day trial. It works one paper at a time with no cross-paper synthesis. Pick it over Scholarcy to understand a paper, not skim many.

  • The highlight-and-explain mechanic is intuitive and works well for breaking down confusing academic text into plain language.
  • Explanations are adjustable for complexity, making the tool useful for both undergraduates and graduate students.
  • No web search or academic database search capability, limiting users to only the papers they manually upload.
All paper readers, ranked →

How to choose a free AI research tool

A free research plan can mean a search engine with no meter at all, a reader that stops after a handful of uploads, or a review platform that holds its AI back for paying customers. What separates these tools is the stage of a project they serve and the unit they ration, whether that is messages, pages, seed papers or hours of transcription. This guide sorts the tools on this page by job, shows what each free plan counts, and then matches them to the kind of researcher you are.

Start with the job, not the tool

Research work moves through stages, and the tools here each cover one or two of them. Naming your stage first saves you from signing up to a reader when you needed a search engine.

  • Finding papers. You have a question and no reading list yet. Semantic Scholar, Elicit, Consensus, AnswerThis, Undermind, R Discovery and Keenious all search the literature, each with its own way of ranking and summarizing what comes back.
  • Mapping a field. You already hold a few good papers and want their neighbors. ResearchRabbit and Litmaps grow a visual map from papers you give them, and Keenious draws a field map from a topic.
  • Reading your own files. The PDFs are on your desk and you want answers from them. Google NotebookLM, Anara and Humata answer across many documents, while Explainpaper, Scholarcy and Avidnote work on one paper at a time.
  • Screening for a formal review. Thousands of records need an include or exclude decision. Rayyan and Silvi take records from your database searches, and Sysrev has PubMed and OpenAlex search built in.
  • Judging a claim. You want to know whether the evidence holds. Consensus summarizes how papers line up on a question, and Scite shows whether later papers supported or contradicted a given one.

Pick the stage you are in this month and find the matching row below.

Your stage Start with Runner-up and the trade-off
Opening a new topic Semantic Scholar Elicit builds tables from papers, yet its free allowance for the Research Agent is limited
Settling a yes or no question Consensus Scite is sharper on single papers but reaches you through ChatGPT or Claude on its free tier
Growing a reading list ResearchRabbit Litmaps plots papers against time, and its free map holds fewer inputs
Building a thesis library Anara Humata counts pages by the month, which a full library will outrun
Making sense of one dense paper Explainpaper Scholarcy gives flashcard summaries, but only up to ten of them
Running a team review Sysrev Silvi adds collaboration on its Plus plan
Writing with citations in one place Logically Anara cites the exact passage, though its free plan counts words by the day

What you actually get for free

The same word covers very different amounts of work, so it helps to see what each kind of tool rations and what that means over a normal week.

  • Search engines. Semantic Scholar rations nothing, and its whole product is free with no paid tier. ResearchRabbit allows unlimited searches over 310 million articles and puts its cap on the seed list, at 50. Consensus gives unlimited basic searches, then 10 Pro messages and 3 Deep reviews a month, which suits one serious question a week and not a daily habit. Keenious allows 3 conversations a day with 5 AI responses in each, so ask the narrow questions first.
  • Screening platforms. Silvi offers unlimited reviews on its free Basic plan, with manual screening and data extraction but no AI. Sysrev offers unlimited public projects and reviewers, which fits open work and rules out confidential data. Rayyan lists a free tier too, and brings deduplication and PRISMA flow diagrams to the screening stage.
  • Document readers. Anara counts by the day, with 2,000 AI words and 5 uploads, so a thesis chapter goes in over a week. NotebookLM counts sources, up to 50 in a notebook. Humata gives 60 pages a month to a single user. Avidnote gives 5,000 AI words, 10 AI readings and 2 hours of transcription, which tests the method more than it covers a project.
  • Mapping tools. Litmaps stops at 20 inputs, 2 maps and 100 articles per map, with monthly alerts. A literature review passes 20 seed papers quickly in most fields.

Which tool fits which researcher

  • Undergraduates writing a first paper. Start with Semantic Scholar to find sources at no cost, then use Explainpaper when a passage will not make sense. Its free plan gives unlimited highlight explanations and follow-up questions, and it imports from Zotero.
  • Thesis writers with a long reading list. Start with Anara, because every answer points back to the exact source passage. Add NotebookLM for the audio and video overviews across up to 50 sources.
  • Clinicians and systematic reviewers. Start with Rayyan for deduplication and PRISMA diagrams, since it is described as the most widely adopted review platform. Add Silvi if you want every extracted value tied to a highlight in the PDF.
  • Researchers entering a new field. Start with Keenious to see how clusters of work relate, then move to ResearchRabbit once you have a handful of papers to seed. Undermind suits the deeper question that follows, because it follows citation trails and reads full text.
  • Qualitative researchers. Start with Avidnote, which transcribes interview audio in numerous languages and helps code the transcripts. Pair it with Logically if you also need citation styles and a place to write.
  • Staff working with private files. Start with Humata or NotebookLM, which answer from what you upload. Neither supplements gaps in your sources from the open web.

Where free plans stop

Limit Tools What happens when you hit it
Size of an upload Anara (20MB or 120 pages), Keenious (3MB) A long or image-heavy PDF has to be split or compressed
Daily count Anara, Logically (5 AI interactions per feature), Keenious The count returns tomorrow, so you lose time and not money
Monthly count Consensus, Humata The pot refills on the first of the month, or a paid plan removes the wait
Seeds, inputs and maps ResearchRabbit (50 seeds), Litmaps (20 inputs, 2 maps) A big topic outgrows the project
Library size AnswerThis (50 PDFs), Avidnote (10 uploads), Scholarcy (10 summaries) The next paper needs a paid plan or a deleted one
Held-back features Silvi (AI), Sysrev (private projects), Explainpaper (paper Q&A) The feature sits on a paid plan
Export marks Logically PDF exports carry a watermark

Most of these ceilings are easy to live with if you plan around them. Give each research question its own project so seed counts never collide, run unmetered searches before spending a metered one, and keep your daily Anara words for the chapter you are writing now. Uploads fail more often than answers do, so check file sizes before a long session.

What you give up by staying free

Several free plans hold back whole capabilities, not only volume. Silvi's free Basic plan has no AI screening or data extraction, Sysrev keeps private projects and its Auto Labeler for Premium, and Explainpaper keeps full-paper summaries, math and figure explanations for Pro. Scite's free Connect tier works through ChatGPT or Claude, while its paid plans add Assistant queries, full-text search and larger collections.

Access terms differ too. Free Anara covers GDPR, with SOC 2 Type II and ISO 27001 sitting on Enterprise. Logically's free plan uses standard AI models and 100MB of storage, and its advanced and reasoning models arrive with the paid plan. Collaboration is the other common gap: Silvi keeps collaborative reviews for Plus, and Litmaps keeps team-wide collaboration for its Team plan.

Privacy and who sees your documents

Unpublished manuscripts, interview audio and grant drafts deserve a closer look at how a tool treats what you upload. These tools state that your content is not used for training.

Tool What is stated
Anara Not used for training; GDPR on free
AnswerThis Not used for training
Avidnote Not used for training; encrypted
Consensus Not used for training
Google NotebookLM Not used for training
Humata Not used for training
Keenious Not used for training; ISO 27001
Logically Not used for training
ResearchRabbit Not used for training
Scite Not used for training
Silvi Not used for training
Undermind Not used for training

Put confidential material in one of these and keep the rest of your sources wherever you like. If a funder or ethics board asks for named security certifications, Keenious lists ISO 27001 and Anara Enterprise lists SOC 2 Type II and ISO 27001.

Mistakes to avoid

  1. Asking a reader to find papers. Scholarcy, Explainpaper and Humata work on documents you bring, and none of them searches academic databases. Find your papers first in Semantic Scholar or Elicit, then upload.
  2. Reading the Consensus Meter as a verdict. A color bar can flatten a contested question. Open the cited papers behind it before you quote it.
  3. Starting a big review in a mapping tool. Litmaps stops at 20 inputs on the free plan and ResearchRabbit at 50 seeds. For a formal review, move to Rayyan, Silvi or Sysrev for the screening itself.
  4. Treating the free Scite as the full product. The Connect tier runs through ChatGPT or Claude. Unlimited Assistant queries and collections belong to the paid Basic plan.
  5. Arriving at Rayyan with nothing to import. Rayyan does not run database searches of its own, so records come from PubMed or Embase as RIS or BibTeX files. Export from the source database first, in a format Rayyan accepts.

When it is worth paying

You have outgrown a free plan when your work bends around its meter. Saving a Consensus message for tomorrow, cutting a PDF to fit a 20MB ceiling, or deleting a seed paper to make room are the usual signs.

If you are Upgrade to What changes
Mapping a large topic ResearchRabbit+ or Litmaps Pro 300 seeds and Signals alerts, or unlimited inputs and weekly alerts
Writing with a heavy PDF load Anara Plus Double the daily words and uploads, 100MB files, Zotero and Mendeley connectors
Running AI-assisted screening Silvi Rapid Bulk screening, AI screening and AI data extraction
Asking evidence questions often Consensus Pro Unlimited Pro messages and 15 Deep reviews a month
Transcribing many interviews Avidnote Professional 10 hours of transcription and 100,000 AI words a month
Reading many papers at once Elicit Plus Standard usage of the Research Agent, Research Reports and systematic reviews

Check the audience before you buy. Elicit and Undermind price academic and industry users differently, and Litmaps offers education and commercial pricing. Yearly billing takes about 40% off Consensus and Scite, 52% off Silvi and 20% off Undermind, while Rayyan bills quarterly and has no monthly plan. Logically gives students 50% off, and Explainpaper, Scholarcy, Scite and Undermind all list a trial.

Using two free tools together

Because the meters differ, two free tools can carry a project that neither could alone.

  1. Scope. Run a deep search in Undermind to see which papers matter, and let it follow the citation trails you would otherwise chase by hand.
  2. Test. Take the claims you plan to rely on to Consensus for the evidence picture, and to Scite to see how later papers treated them.
  3. Read. Upload the papers that survive to Anara or Explainpaper and work through the passages that matter.

A second common pairing is a shared reference library. Collect papers in Zotero, which ResearchRabbit, Elicit, Scholarcy, Explainpaper and Silvi all connect to, so one collection feeds your mapping, reading and screening without retyping a reference.

What would this stack cost you?

Add our top picks (Rayyan, Elicit, Anara) to the calculator and see the monthly total, then swap in the plans you would pay for.

How we picked

Every tool here is ranked by its score, and each score is worked out from the vendor’s own published pages: pricing, plans, features and terms. No score is adjusted by hand. All 22 tools have enough published facts to be scored, and on average 98% of each score comes from facts the vendor publishes. The facts behind these scores were checked between 14 September 2026 and 29 October 2026.

Scores compare tools that do the same job, which is why the list is grouped by job: a video editor and a grammar checker are never ranked against each other.

Ranked asOn this pageWhat we scoreScoring guide
Literature search tools13 reviewed126 criteria, 29 checked facts: finding papers, reading and analysing papers, systematic reviews, pricing, citing and writing, accessHow we score these →
Paper readers8 reviewed76 criteria, 29 checked facts: finding papers, reading and analysing papers, systematic reviews, pricing, citing and writing, accessHow we score these →
Systematic review platforms4 reviewed36 criteria, 27 checked facts: running the review, extraction and analysis, teams, pricing, finding papers, citing and exportsHow we score these →

Common questions

Which free AI research assistant gives the most each month?

It depends on the meter. Semantic Scholar has no cap at all, so it gives the most for searching. Consensus gives a monthly pot of Pro messages and Deep reviews, Humata a monthly page count, and Anara a daily allowance of words and uploads. For heavy reading in a few weeks, a monthly pot goes furthest; for a steady habit, a daily one does.

Is there an AI tool to summarize research papers free?

Yes, several, each with a different limit. Scholarcy gives up to 10 flashcard-style summaries, Google NotebookLM answers from up to 50 uploaded sources and adds Audio Overviews, and Explainpaper explains highlighted passages without a cap. Whole-paper summaries are a Pro feature on Explainpaper. Choose Scholarcy for one summary per paper and NotebookLM for summaries across many sources.

Is there an AI citation finder free of charge?

Scite's free Connect tier works inside ChatGPT or Claude and draws on Smart Citations, which show whether later papers supported, contradicted or only mentioned a claim. Consensus links each answer to peer-reviewed papers, Undermind links every claim in its reports to a source, and Semantic Scholar's Reader shows extracted citation data on the paper itself.

Can I move free AI research results into Zotero or Mendeley?

Partly, and it varies. ResearchRabbit syncs collections with Zotero, Explainpaper and Silvi import from it, and AnswerThis syncs with Zotero and Mendeley from the free plan, capped at its library size. Litmaps exports in BibTeX, RIS and CSV formats, and Zotero sync runs both ways on Pro. Anara's connectors start on Plus, and R Discovery's reading list sync is on Prime.

How many papers do free AI research tools search?

The indexes run from 138 million papers at Elicit and over 220 million at Consensus to 236 million at Semantic Scholar, over 250 million at AnswerThis and 310 million at ResearchRabbit. R Discovery claims 300 million articles. Size matters less than the kind of search, since Elicit searches a curated academic database, and Consensus includes licensed full text.

Which free AI research tools work on a phone?

Rayyan and R Discovery have iOS and Android apps, and Rayyan's works offline. Google NotebookLM has apps for both too, while Anara has an iOS app but nothing for Android. Consensus, Scite, Semantic Scholar, Undermind, Keenious, ResearchRabbit and Silvi have no mobile app, so for reading on a commute, pick from the first four.

Can I do a whole systematic review on a free plan?

For screening and extraction, yes: Silvi gives unlimited reviews with manual screening and extraction by hand, Sysrev gives unlimited public projects and reviewers, and Rayyan keeps a free tier open without a time limit. The AI steps are where the plans split. Silvi's start on Rapid, Sysrev's Auto Labeler sits on Premium and AnswerThis's systematic review pipelines begin on Pro.

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