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Silvi logo

Silvi Review

Silvi, a systematic review platform, screens references with include and exclude decisions, removes duplicates, and generates the PRISMA flow diagram plus a risk-of-bias check. Extracted data links back to the exact paragraph in the PDF, and collaborative reviews start on a paid plan.

Visit SilviFrom $43.20/mo

Research-based review. Features and prices are checked on the vendor's own website, and the score is worked out from those facts. We haven't tested it hands-on yet.

The verdict

Worth paying for if you run formal systematic reviews needing PRISMA output and a risk-of-bias check; it does not search a paper database, only imports references you already found.

Pros

  • 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.
  • PDF highlighting system automatically stores both extracted data and source location, providing full traceability essential for rigorous systematic reviews.
  • AI screening and data extraction tools operate in a human-in-the-loop model, letting researchers validate and correct suggestions rather than being locked into automated decisions.
  • Collaboration features include task assignment, blinding, and conflict resolution between reviewers — methodologically meaningful, not just surface-level.
  • Positioned as a more affordable alternative to Covidence while covering comparable systematic review workflow stages.
  • Web-based interface is clean and modern, avoiding the dated UX associated with older academic research tools.

Cons

  • No mobile app, limiting flexibility for researchers whose workflow moves across devices or contexts.
  • Relatively niche tool with limited user feedback and community discussion, making it harder to assess real-world reliability at scale.
  • Database coverage, while solid, does not include every source academic researchers may need for comprehensive systematic reviews.
  • As a smaller Copenhagen-based tool, long-term support, development roadmap, and enterprise reliability are less proven than established competitors.
  • Limited public user reviews make it difficult to verify how well AI screening accuracy holds up across different research domains.
  • The tool's niche focus means it is not suitable for general AI research, note-taking, or broader literature management tasks.
From $43.20/moFree plan YesFree trial No
3.6/10

Spec Score

Silvi against 4 systematic review platforms
#4
of 4 systematic review platforms
-0.8
vs the average
100%
from published facts
Ahead of other systematic review platforms
Nothing clearly above the average
Behind other systematic review platforms
Access, teams and privacy-3.5Pricing-1.6Finding papers-1.4
Every criterion
Tap a row for the facts
Finding papers0.0
-1.4 vs 1.4 avg0 of 20 points
Searches a database of papersno0 / 3
Answers a research question from the literatureno0 / 2.5
Map of connected papersno0 / 1.5
Alerts for new papersno0 / 1.5
Shows if later papers support or dispute a paperno0 / 1.5
Why these numbers

Searches a database of papers: Docs for every database (PubMed, OpenAlex, ERIC, Web of Science, Scopus, etc.) describe searching on the external site and importing/saving results into Silvi -- no in-app search of a paper index.

Answers a research question from the literature: No feature answers a research question across the literature; AI is scoped to screening and extraction tags. Checked homepage, pricing feature table, docs.

Map of connected papers: No citation graph/map feature in the pricing feature table or homepage.

Alerts for new papers: No alerts/saved-search-notification feature found in the pricing table, homepage, or docs.

Shows if later papers support or dispute a paper: No feature classifies whether later papers support/contradict/mention a paper; feature table covers importing, screening, extraction, collaboration, analysis, exporting only.

Reading and analysing papers3.5
+0.3 vs 3.3 avg8.8 of 25 points
Ask questions of a paperno0 / 2
Pulls data from many papers into a tableyes2 / 2
Summarises papersno0 / 1.5
Answers show the passage they came fromyes1.5 / 1.5
Reads tables and figuresno0 / 1.5
Writes a literature review for youno0 / 1.5
Why these numbers

Ask questions of a paper: AI extraction is tag/field-based extraction across a set of studies, not a free-form chat Q&A with one document.

Pulls data from many papers into a table: Also 'Qualitative coding' and downloadable CSV/Excel result table per silvi.ai/docs/data-extraction.

Summarises papers: No per-paper summary feature listed in the pricing feature table, homepage, or docs (searched summar).

Answers show the passage they came from: Extracted data links back to its exact paragraph in the source PDF for verification.

Reads tables and figures: No mention of reading tables, figures or equations on the pricing feature table, homepage, or extraction docs (searched figure, table -- 'table' hits refer only to Silvi's own extracted-data output table).

Writes a literature review for you: Silvi manages the review workflow (screening, extraction, PRISMA) but does not draft a literature review/report itself.

Systematic reviews8.0
-0.3 vs 8.3 avg8 of 10 points
Screening with include and exclude decisionsyes3 / 3
AI help with screeningno0 / 2
Removes duplicate referencesyes2 / 2
PRISMA flow diagramyes1.5 / 1.5
Risk of bias assessmentyes1.5 / 1.5
Why these numbers

Screening with include and exclude decisions: Full include/exclude screening workflow with conflict resolution and reviewer assignment (also in the Collaboration feature row).

AI help with screening: A genuine false for the FREE tier and true from Rapid up. Recorded for the free tier because that is where the ladder starts.

Removes duplicate references: Listed as a standard feature under Importing Studies in the pricing feature table (available even before AI tiers).

PRISMA flow diagram: PRISMA flow-chart generation is listed directly in the Screening row of the feature table.

Risk of bias assessment: Announced as new on the homepage. Second of four in the type.

Pricing4.0
-1.6 vs 5.6 avg8 of 20 points
Monthly price, cheapest paid plan (academic rate if offered)$43.2/mo4 / 10
Yearly price, sold by the year onlydoes not applyn/a
Why these numbers

Monthly price, cheapest paid plan (academic rate if offered): Rapid, the cheapest paid plan, on monthly billing. Monthly ladder: Basic €0, Rapid €40, Plus €120, Enterprise Custom (billed annually). Yearly-billed ladder: €0, €19, €59. ⚠ The field name says usd but the value is EUR - see currency below and the note in currency_note.

Citing and writing5.2
+0.4 vs 4.8 avg7.8 of 15 points
Works with Zotero, Mendeley, EndNote and othersZotero2 / 3.5
Export formatsCSVExcel2 / 2.5
Helps you write and adds citationsno0 / 1.5
Browser extensionyes1.3 / 1.3
Word or Google Docs add-inno0 / 1.3
Why these numbers

Works with Zotero, Mendeley, EndNote and others: Named in the homepage integration list alongside PubMed, which is a source rather than a manager and is recorded separately as pubmed_integration.

Export formats: Pricing table also lists 'Export references' but does not name a citation format (e.g. RIS/BibTeX), so only the confirmed data-table formats are listed here.

Helps you write and adds citations: No manuscript-writing or citation-drafting assistant found on pricing, homepage or docs.

Browser extension: Dedicated privacy terms page for a 'Silvi Browser Extension' that integrates with the platform account.

Word or Google Docs add-in: No Word or Google Docs add-in found on pricing, homepage, docs index, or sitemap (searched word, google docs).

Access, teams and privacy3.0
-3.5 vs 6.5 avg3 of 10 points
University or library licenceno0 / 3
Shared projects with your teamyes2 / 2
APIno0 / 2
Mobile appno0 / 1
Works in languages other than Englishno0 / 1
Does not train AI on your datayes1 / 1
Why these numbers

University or library licence: No library/institution licence, OpenAthens or link-resolver mentioned on pricing (Enterprise tier offers SSO and custom integrations, not institutional access) or homepage (searched institution, library).

Shared projects with your team: Collaborative reviews first appear on the 'Rapid Plus' plan (€59/month); the free Basic and €19 Rapid plans do not include it.

API: No published API found; Enterprise plan offers 'Custom integrations' but no public API is named on pricing, homepage or docs (searched api).

Mobile app: No iOS/Android app mentioned on pricing, homepage or sitemap; only a browser extension was found (searched app, ios, android).

Works in languages other than English: No statement about non-English language support found on pricing, homepage, or docs (searched language).

Does not train AI on your data: Explicit statement that uploaded article content is not collected/used; general usage-data (interaction behavior, not document content) is used to improve features.

yesnonot published average for systematic review platforms
How the Spec Score works

Scored from what Silvi publishes on its own site. Not a hands-on test.

Compared with 4 systematic review platforms. Facts checked 14 Sep 2026.

A fact the vendor does not publish gets half the points, or the typical value for a number, and says so. It never counts as a no. How we score.

Our research on Silvi started not with the product itself but with a pricing page that immediately separates it from most of what we cover in this category. Four plans, monthly billing toggle, no credit card required to start. That kind of setup tells you something about who's being targeted before you read a single feature bullet.

Silvi homepage screenshot
Silvi, Homepage

What is Silvi?

Silvi is a web-based tool built specifically for systematic literature reviews. Not general AI research. Not note-taking. Systematic reviews, the structured, auditable, methodologically rigorous kind that show up in academic journals and clinical guidelines.

It's based out of Copenhagen and markets itself to researchers, academics, and scientific teams. The workflow covers the full review pipeline. You pull studies in from databases, screen them against your inclusion criteria, extract data from PDFs with direct highlighting, and then organize everything into tables and plots. That's the loop.

No mobile app. No browser extension. Web-only, which is fine for structured work, but something to flag if your workflow moves around.

Silvi Features: Search, Synthesis & Research Capabilities

Silvi features screenshot
Silvi, Features

PubMed, OpenAlex, and ERIC are supported for import, though you search on each database's own site and then import results into Silvi rather than searching in-app. Zotero import is supported too, alongside a few others via RIS files. That covers most of what academic researchers actually need. Not everything, but most.

The PDF highlighting system is what Silvi pushes hardest in its own docs. You highlight text directly in the paper, and the tool stores both the extracted data and the source location automatically. For systematic reviews, that traceability is the whole point. You can always trace what you pulled and from where, which isn't decorative. It's methodologically necessary.

One thing we kept seeing in the vendor documentation: the AI screening suggestions and AI-assisted data extraction are available from the paid Rapid plan, which starts at €40 per month billed monthly, or less on annual billing. The free Basic plan supports manual screening and transparent data extraction, but not the AI features. Worth being clear about that, because the pricing page bundles "AI for screening" and "AI for data extraction" explicitly under Rapid, not Basic.

Honestly, the "you review what the AI extracts" philosophy is the right one for science. You stay in control. That's not how every AI tool approaches it.

Collaboration features cover task assignment, blinding of reviewer decisions, and conflict resolution. Blinding in particular is methodologically important for double-blind screening, and it's good that it's there. The Plus plan at €120 per month adds PubMed integration and collaborative reviews as distinct features, which suggests Silvi is pitching the higher tier at teams rather than solo researchers.

Silvi Research Quality: How Accurate and Trustworthy Is It?

Here's the problem. Silvi isn't listed on G2, Capterra, or Trustpilot. No verified user reviews anywhere we looked. That's not a death sentence for a niche academic tool, but it makes quality assessment harder than we'd like.

What we do have is the product design as evidence. The emphasis on transparent, source-linked extraction suggests the team understands what scientific rigor actually requires. They're not summarizing papers. They're building an audit trail. That tracks with what good systematic review methodology demands.

We're cautious, though. AI extraction in systematic reviews is still an area where errors carry real consequences. No independent benchmarks we could find. Whether the AI's baseline extraction quality is good enough to save time without introducing noise, we can't say yet. No one outside the vendor has published anything on it that we could cross-reference.

Silvi Source Coverage: What Does It Actually Search?

PubMed is the big one for life sciences. OpenAlex is broad and open. ERIC covers education research. That combination is genuinely useful for a tool at this price point.

What's missing is direct integration with Cochrane, Embase, and Scopus. Silvi does publish instructions for importing records from Cochrane and Scopus using RIS files, and Ovid access can get you into Embase indirectly. But Silvi does not provide a direct integration with any of those three by name. Clinical researchers doing medical systematic reviews may find the database coverage thin. Cochrane in particular is essentially required for health intervention reviews.

The import system compensates somewhat. Workable. Not clean.

Is Silvi Easy to Use for Researchers and Professionals?

The free Basic plan requires no credit card. That's a real signal about the onboarding philosophy, not just a marketing line.

The screening workflow supports bulk screening from the Rapid plan upward, which matters when you're working through several hundred papers and need to shift between fast passes and careful reads. Academic tools often force one mode. Silvi apparently doesn't.

We didn't find significant complaints about usability anywhere, but the thin feedback trail cuts both ways. Could mean the tool is intuitive. Could mean the user base is small enough that patterns haven't surfaced yet. We lean toward the former given the product design, but we're not certain.

Silvi Pricing: Is It Worth It vs Free Alternatives?

Silvi pricing screenshot
Silvi, Pricing

Four tiers. Basic is €0 per month, with unlimited reviews, manual screening, and transparent data extraction. No credit card required. Rapid is €40 per month billed monthly, adding bulk screening, AI screening, and AI data extraction. Plus is €120 per month billed monthly, layering in PubMed integration, collaborative reviews, and blinding of reviewer decisions. Enterprise is custom, billed annually, with custom integrations, Single Sign-On, and flexible invoicing.

Compared to Covidence, which charges per review and gets expensive fast for teams, the Plus tier at €120 per month looks reasonable if you're running multiple reviews simultaneously with a full team. That's the comparison that matters most in this category.

The refund policy isn't published anywhere we looked. Annoying. Especially for academic researchers working on grant money with tight budgets. Live chat support is Plus and Enterprise only. Basic users get email. Not great.

Silvi vs Covidence: Which AI Research Tool Is Better?

Covidence is the established name in systematic review software. Well-funded, widely adopted by universities, and it has Cochrane's backing. That last point matters if your review is heading toward Cochrane publication.

Silvi is cheaper and has AI extraction built more natively into the workflow. Covidence's AI features are newer and feel more bolted on, from what we've seen in the docs and what little user commentary exists. Silvi's PDF highlighting and transparent data linking look more native to the core workflow.

The gap in database coverage is where Covidence still wins, particularly for clinical teams. If you're in education research or need OpenAlex's breadth, Silvi starts to look more competitive. If your institution already has Covidence seats purchased, the switching cost probably isn't worth it unless you have a specific reason.

For teams comparing alternatives in the broader research tool space, Elicit is worth a look too, though it approaches systematic reviews differently and leans more toward question-based synthesis than structured extraction workflows.

Who Should Use Silvi? (And Who Shouldn't)

Academic researchers running education or social science reviews. That's the natural fit. The ERIC integration alone signals where they're aiming.

Small research teams doing multiple reviews simultaneously will get more out of the Plus pricing than paying per-review elsewhere. Solo researchers on the Basic plan have a real option here. Unlimited reviews at €0 is genuinely useful, not just a lead magnet.

Clinical researchers who need direct Embase or Cochrane access. Not the right tool, or at least not a complete one. Plan around the RIS import workaround or look elsewhere first.

Silvi Review Verdict

Silvi is a focused tool doing a specific job. It doesn't try to be a general AI research assistant. It won't write your introduction or find you papers across the open web. What it does is manage the structured, methodological work of a systematic review, and it does that with more thought than most tools at this price.

The transparent extraction model, with source-linked highlights and audit traceability, is the best thing about it. Science requires that. Silvi builds it in from the start rather than treating it as a premium add-on.

What holds it back: the database gaps are real, the independent review trail is essentially nonexistent, and the refund policy silence is a small but genuine annoyance. AI extraction quality is unverified by any external source we found. Fair. But worth knowing before you build a review workflow around it.

For the price, trial it on the free plan. We've seen worse tools charge more with less justification.

How Silvi compares

Silvi scores 3.6 out of 10 among the systematic review platforms we rate. These two do the same job and are the closest to it, compared on what each vendor publishes.

3.6Silvi
vs
4.1Covidence

Covidence

Silvi's cheapest paid plan, Rapid, is 40 euros a month; Covidence costs $339 a year. Both only import references you already found elsewhere rather than searching a paper database themselves. Silvi has a browser extension that Covidence lacks, but Covidence includes AI assisted screening and unlimited collaborators from its cheapest plan, where Silvi holds AI screening back until Rapid and only adds team collaboration on the pricier Rapid Plus plan at 59 euros a month.

Pick Covidence if you want AI screening and unlimited collaborators from the start.
Pick Silvi if you want a browser extension and don't need collaboration yet.

Silvi vs Covidence →
3.6Silvi
vs
6.0Rayyan

Rayyan

A browser extension is Silvi's answer to Rayyan, which does not have one. Rayyan counters with a mobile app, an institutional library licence route, and AI powered screening suggestions you accept or delete, where Silvi holds AI assisted screening back until the pricier Rapid tier. Silvi's cheapest paid plan, Rapid, is 40 euros a month; Rayyan's cheapest paid plan is $8.33 a month, billed quarterly.

Pick Rayyan if you want AI assisted screening from the entry plan.
Pick Silvi if you want a browser extension over a mobile app.

Silvi vs Rayyan →

Frequently Asked Questions

Does Silvi work for medical systematic reviews?

It can, but with caveats. The PubMed integration is solid. The absence of direct Embase or Cochrane access is a real gap for clinical researchers. You can import from those databases via RIS files or through Ovid, which adds steps to an already labor-intensive process. Workable. Not ideal.

Is Silvi's free plan actually useful, or is it limited to the point of being useless?

Based on vendor documentation and what the pricing page shows, the free Basic plan includes unlimited reviews, manual screening, and transparent data extraction. That's more than a teaser. The AI features, specifically AI screening and AI data extraction, are gated behind the paid Rapid plan. So the free tier is genuinely functional, but not the full product. Check that distinction before assuming everything's included.

How does Silvi compare to Elicit for systematic reviews?

They're solving related but different problems. Elicit is stronger for open-ended question synthesis and quick literature scans. Silvi is built for the full structured review pipeline, screening workflows, collaborative blinding, and PRISMA-compatible outputs. If you need a full audit trail and team collaboration, Silvi is the more relevant choice. Early-stage exploratory research, Elicit may be faster.

Silvi is featured in

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