Skip to content

>>> Blog

Systematic Review Software in 2026: Covidence, Rayyan, Elicit, and Littview Compared

10 min readLittview

Choosing review software comes down to one question: which stages of your review does it cover, and how? This guide answers that stage by stage, from what each tool documents today. No scores, no opinions in the cells.

We build Littview. Every fact about Covidence, Rayyan, and Elicit below comes from their own help centers and pricing pages, checked on 3 September 2026.

Legend: documented · partial or plan-gated · not offered · n/d not in the vendor's public docs.

The four in one line

In one lineStarts atPricing model
CovidenceThe established double-screening workflow, with a path to RevManYour database exportPer review
RayyanFast collaborative screening that has grown into extraction and risk of biasYour database exportPer seat, free reviewer invites
ElicitAI search first, then screening, extraction, and reports on what it findsA research questionPer user
LittviewScreening to report in one project: AI suggests, reviewers decideYour database exportPer project; one plan covers everyone

1.Getting references in

CovidenceRayyanElicitLittview
FormatsEndNote XML, PubMed, RISRIS, BibTeX, EndNote XML, PubMed XML, NBIB, CSVRIS, BibTeX, PDF; Zotero, EndNote, MendeleyBibTeX, RIS, PubMed MEDLINE, EndNote XML; Zotero
Full-text PDFs upload or open-access link manual, bulk, or auto-retrieve (paid) upload, browser extension manual, bulk, or Zotero
Size limits15,000 refs / 50 MB per file; unlimited files100 MB per file, 10 files at a time; no article limit stated5,000 papers per review (Pro), 40,000 (Enterprise)200 refs (Free); 10,000 (Pro); custom (Institution)
Duplicate detection automatic on import semantic automatic
Resolving duplicatesAutomaticRule-based, in bulk (Essential+)Pair by pair: merge, delete, keepManually, or automatically above a similarity threshold (Pro)
Removed duplicates counted in PRISMAn/d

Covidence, Rayyan, and Littview all carry the duplicate count into the PRISMA diagram, so that number is never re-typed.

2.Screening

CovidenceRayyanElicitLittview
Your own criteria
Reviews per paperSingle or doubleBlind mode; free reviewer invites, capped by planAI screens; you review its callsAny number you choose; papers distributed and balanced across reviewers
Full-text stage
Notes and highlights notes, tags labels, exclusion reasons, notesAI quotes and exclusion reasons PDF highlights and notes, kept with the decision
Conflicts between reviewersConsensus stepSurface after unmasking Enterprise: conflicts surfaced after dual reviewSide-by-side votes and notes; owner or assistant decides
Relevance ranking "Most Relevant" AI predictions, from Free sorts by likelihood
Per-paper AI suggestionRCT tag only AI Reviewer (Business/Academic): Include/Exclude/Maybe, per-criterion Met/Not met/Unclear, reasoning Include/Exclude, confidence, criteria met, reasoning; learns from the project's own resolved papers
AI reads the full textScreening AI works on title and abstractAI Reviewer runs on title and abstract opt-in, when a PDF is attached
Who decidesHumans screen every recordReviewer; AI Reviewer votes as a memberAI decides; you can override (dual human review on Enterprise)You. The AI never records a decision

The AI column is where the four differ most. Covidence ranks and tags; Rayyan ranks on every plan and, on Business/Academic, adds an AI Reviewer that votes like a member; Elicit screens for you and lets you override. Littview's AI reads each paper against your criteria, learns from the project's past decisions once enough papers are resolved, and hands you a suggestion with its reasoning.

Also in Littview: an assistant who is not screening can resolve conflicts, so an owner who also screens is not judging their own votes. AI can be switched on or off per member.

3.Data extraction

CovidenceRayyanElicitLittview
Form builder Extraction 2 templates custom questions table columns custom questions, grouped in sections; reusable templates
Working viewPDF beside the formPDF beside the formTable with supporting quotesPDF beside the form
Answer linked to the passage supporting quote on AI suggestions ResearchPilot highlights (Business/Academic) supporting quotes highlight per answer; AI answers quote the passage and page
Second extractor two extractors + consensus blind dual extraction; mismatched answers flaggedDual review covers screening only every paper gets an extractor and a separate verifier, paired automatically across all extractors
AI pre-fill suggestions, accept or reject each ResearchPilot (Business/Academic) with the evidence passage

Covidence, Rayyan, and Littview all support double extraction. In Littview, you assign the included papers to two or more collaborators. Each paper then goes to one person to extract and to a different person to verify, and the pairs rotate so the workload is balanced across everyone.

4.Risk of bias

CovidenceRayyanElicitLittview
RoB 1 default template
RoB 2 custom template; into RevMan via CSV built in, for RCTs
Other frameworks custom templatesPlanned MMAT 2018 ready-made in the extraction template; any other checklist as custom questions

Rayyan is the only one of the four with RoB 2 built in today. Covidence ships RoB 1 as standard and handles RoB 2 as a custom template. Littview handles appraisal inside the extraction template: MMAT 2018 ships ready-made, with a section per study design and each item rated Yes, No, or Can't tell, so appraisal is recorded alongside the rest of the data, and any other checklist can be added as custom questions. Elicit has no risk-of-bias support.

5.Reporting

CovidenceRayyanElicitLittview
PRISMA 2020 flow diagram Essential+ since May 2026
Filled from the workflow ("studies not retrieved" by hand) duplicate and screening counts filled; search sources, retrieval, and included counts entered by hand counts from the project's records; search sources entered once
Diagram exportDOCXPDF, PNG, SVG, interactive HTMLWith the report (PDF, Word)SVG, PNG, DOCX
Extraction / evidence table CSV, Excel CSV CSV, Excel filterable, CSV export
Methods section draft search strategy and study characteristics included in the report drafted from your criteria, sources, screening setup, and the project's live counts, under PRISMA 2020 headings; DOCX
Results synthesis draft AI report with inline citations; PDF, Word drafted from your extracted data, with a study characteristics table and numbered citations to each paper; DOCX
RevMan study data, not Extraction 2 dataCSV only

Two tools draft the write-up. Elicit generates a cited report from what it screened and extracted. Littview builds the flow diagram, the evidence table, and the Methods and Results drafts from the same project records, so the numbers match everywhere and nothing is re-entered at submission time. Covidence's strength is the other direction: a documented path into RevMan for meta-analysis.

6.Platform and people

CovidenceRayyanElicitLittview
CollaboratorsUnlimited per reviewFree Reviewer and Viewer roles; Collaborators need a seatPer user; live co-editing on ScaleOwner's plan covers everyone: 2 invited (Free), 9 invited (Pro)
Native literature search 138M papers
APIn/d Enterprise Pro+, plus an MCP serverPlanned
MobileMobile-optimised web for title and abstract screening iOS and Android appBrowserBrowser

Elicit is the only one that searches. The other three start from your own database searches, whether PubMed, Scopus, Web of Science, or open indexes such as OpenAlex (478 million work records, per its homepage on 3 September 2026), and take the exported file.

7.Plans and pricing (3 September 2026)

FreeEntry paidHigher tiersBilled per
Covidence500-record trial$339 / yr, 1 review$907 / yr, 3 reviews; organizations customReview
Rayyan$0$4.99 / seat / mo*$8.33 / seat / mo*; Business $2,500 / yr (5 licenses); Enterprise customSeat
Elicit$0$39 / user / mo ($468 / yr)†$89 / user / mo ($1,068 / yr)†; Enterprise customUser
Littview$0$49 / mo or $539 / yrInstitution custom; credit top-ups $13 / 1,000, $29 / 2,500Project owner

*Billed annually. †Elicit's Academic pricing; Industry is $49 and $169. Pricing pages change; treat this as a snapshot.

What the free tiers hold

  • Covidence: a 500-record trial.
  • Rayyan: 3 active reviews, 2 free reviewers, duplicate detection, AI predictions.
  • Elicit: unlimited search, summaries, and chat; limited AI usage.
  • Littview: 1 project, 2 invited members, 200 references, 500 MB of PDFs, the full workflow. No time limit; AI not included.

What the entry paid tiers hold

  • Covidence Single Review: one review, unlimited collaborators, 12 months.
  • Rayyan Essential: 5 free reviewers, PRISMA, auto-resolve duplicates, mobile app. ResearchPilot needs Business/Academic.
  • Elicit Pro: the Systematic Review workflow up to 5,000 papers, 20 extraction columns.
  • Littview Pro: 9 projects, 9 invited members per project, 2,500 AI credits a month for the whole project, every AI feature.

One review, five people, one year

Annual costNote
Covidence$339Single Review; collaborators unlimited
Rayyan$60 · $2,500 with ResearchPilotOne Essential seat + 5 free Reviewer-role invites (screen only: no upload, dedup, or export) · Business/Academic, 5-license minimum
Elicit$2,340Five Pro users at Academic pricing; $5,340 on Scale for live co-editing
Littview$539One Pro plan covers all five, AI credits included

Assumes every reviewer needs a login where the vendor bills per user. Three billing models sit behind these numbers. Covidence bills per review, so one review with many collaborators is cheapest there. Rayyan and Elicit bill per person: Rayyan's free Reviewer role can screen, but anyone who uploads, deduplicates, exports, or uses ResearchPilot needs a paid seat, and the AI plans start at five licenses, so the bill grows with the group. Littview bills the project owner once; every member and the AI credits come with that one plan.

8.Which tool for which review

Three questions settle it.

Is the search still open? If so, Elicit is the only one of the four that searches. The other three start from your export.

Do you need RevMan, or a risk-of-bias tool built in? RevMan and RoB 1 point to Covidence. RoB 2 today points to Rayyan. In Littview, MMAT is ready-made inside the extraction form and any other checklist is custom questions.

Where do you want the tool to stop? If neither question applies, you are choosing between Rayyan and Littview, and the difference is where each one stops. Rayyan is built around screening, with extraction, risk of bias, and a PRISMA diagram added around it, billed per seat with AI on Business/Academic and above. Littview carries the same records from screening through extraction to the diagram, the evidence table, and the drafted Methods and Results, with an AI suggestion at each stage, on one plan for everyone.

Every tool above does the job it was built for. The question is which job yours is.

Start your review free →