Sharly AI
AI research assistant that summarizes, compares, and cites documents with source-backed answers and team collaboration.
Sharly AI earns its place for teams and individuals who live in documents and need citations they can trust. Unlike generic AI chatbots that hallucinate sources, Sharly anchors every answer to specific pages and offers APA/MLA/Chicago switching. The cross-document comparison and shared workspace are genuine time-savers for literature reviews and compliance analysis. If you need web search or real-time data, look elsewhere—Elicit covers systematic search, and ChatGPT with browsing handles web queries. For verifiable, collaborative document analysis, Sharly is a solid, affordable pick.
Verified 1d ago · liveness 82/100 · cite: rightaichoice.com/tools/sharly-ai
- Researchers conducting literature reviews with multiple papers
- Analysts comparing reports for compliance or risk analysis
- Product teams synthesizing market research and user feedback
- Academics needing accurate citations in APA/MLA/Chicago
- Teams requiring a full project management or wiki platform
- Budget-conscious teams needing transparent per-seat pricing (Business tier custom)
- Researchers who need systematic database search (use Elicit instead)
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Skip Sharly AI if you need web search or real-time data retrieval, or if you require a full project management/wiki platform—this tool is strictly for verifiable, source-backed document analysis.
The Free tier is capped at 5 docs/day and 50 messages/month—if you hit the limit mid-cycle, uploads and chats pause until the next billing period.
Sharly AI's free tier is generous for casual users (5 docs/day), and Pro at $12.50/seat/mo (yearly) undercuts many competitors like Elicit (starts at $12/mo but with limited features). Team at $24/seat/mo is competitive for labs. However, business pricing is custom, so larger orgs may find transparent alternatives like Notion AI (flat per-seat) easier to budget for.
In short
Sharly AI — AI research assistant that summarizes, compares, and cites documents with source-backed answers and team collaboration. Best for Researchers conducting literature reviews with multiple papers, Analysts comparing reports for compliance or risk analysis, Product teams synthesizing market research and user feedback. Free to start; paid plans from $12.5/mo.
What's new in Sharly AI
Checked yesterdayAcross the latest 1 update: 1 feature update.
What people actually say about Sharly AI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
19 mentions across 2 sources (Product Hunt, Lemmy) · researched Jul 31, 2026.
- +Saves significant time on dense document review.
- +Citation-aware chat grounds every answer with page links.
- +Cross-document Q&A pulls insights from multiple uploads in one thread.
- +Simple and fast to get started, praised by users.
- +Outperforms ChatGPT for document-specific tasks (files, webpages).
- −Limited independent feedback; all reviews are launch-day positives.
- −No data on long-term reliability or support responsiveness.
- −Potential free-tier limitations are unclear to users.
- −No offline or desktop app; requires internet connection.
- −May be overkill for simple document lookup tasks.
- • Upgrading to Pro or higher may be necessary quickly as free tier likely limits file counts and questions.
- • Larger teams might need Enterprise for collaboration features like team workspaces.
Viability Score
How well maintained and how widely used is Sharly AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: July 2026
How we score →Key Features
- Instant document summaries and key insights
- Cross-document comparison of metrics
- Citation-aware chat with APA, MLA, Chicago formats
- Cross-document Q&A in one thread
- Shared workspace for team collaboration
- Collaborative Q&A with annotations
- Docs-only answer mode (private reasoning)
- Document viewer with semantic data extraction
- Inline citations with source page links
- Role-based permissions for team access
- Activity logs for audit trail
- AES-256 encryption at rest, TLS 1.3 in transit
- Multi-format upload (PDF, DOCX, XLSX, PPTX, Google Docs, Notion)
- Google Drive, Dropbox, Notion sync
- OCR (image-to-text), text-to-speech, speech-to-text
About Sharly AI
Sharly AI is a document-focused AI research assistant for individuals and teams who need to extract, compare, and cite insights from dense files with full traceability. You can upload PDFs, DOCX, XLSX, PPTX, Google Docs, and Notion documents, then instantly get summaries, key insights, and highlights. The tool's citation-aware chat attaches verifiable sources to every reply and lets you switch between APA, MLA, and Chicago formats from a dropdown. It supports cross-document Q&A, so you can ask a question across multiple uploads and get a single answer backed by sources. A shared workspace enables team collaboration with annotations, inline feedback, and collaborative Q&A. For teams, features like role-based permissions, activity logs, and version history provide control, while AES-256 encryption and TLS 1.3 protect your data. Sharly also includes a document viewer and semantic data extraction (added in March 2025) to pull structured data from documents. With a freemium model starting at $0/seat/month, Sharly is built for researchers, analysts, product teams, and compliance professionals who need verifiable, collaborative research—without the web search or real-time data capabilities of general-purpose chatbots.
Behind the Verdict
Sharly AI addresses a specific pain point: making document research verifiable and collaborative. Its strengths are clear. The citation-aware chat is a standout—every answer comes with inline citations linked to source pages, and you can switch citation styles on the fly. This is a huge credibility boost for academic work, compliance reports, or market research. The cross-document Q&A is genuinely useful: upload multiple PDFs and ask a question like 'What job sectors are most vulnerable to automation?' and get an answer synthesized from all sources with references. The shared workspace with annotations and collaborative Q&A makes it a team tool, not just a solo utility. For enterprise, role-based permissions, activity logs, version history, SSO/SAML, and private deployments (on the Business plan) cover security needs. Weaknesses are just as important. Sharly lacks web search and real-time data retrieval, so it's not a replacement for a general research assistant if you need current information. The free tier is limited to 5 docs/day and 50 messages/month, which may feel restrictive for heavy users. The Business tier is custom-priced, so budget-conscious teams won't see transparent per-seat costs. Also, while the document viewer and semantic extraction are new (March 2025), they may still be maturing. Where it fits: academic researchers doing literature reviews, analysts in compliance or risk, product teams synthesizing market research, and consultants working with large document sets. Where it doesn't: if you need a full project management or wiki platform, or if you require systematic database search (use Elicit) or web access. Overall, Sharly is a focused, credible tool for verifiable document research. It's not a wrapper—it has proprietary citation engine, cross-document comparison, and team collaboration features that go beyond a simple prompt UI. For teams that value traceability, it's worth the $24/seat/month Team plan.
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Real-world workflow fit
Concrete scenarios for the personas Sharly AI actually fits — and what changes day-one when you adopt it.
Upload a batch of journal PDFs for a literature review, ask Sharly to summarize each, then use cross-document Q&A to compare findings. Cite every claim in APA by switching the citation format.
Outcome: You get a structured literature review with inline citations, saving hours of manual reading and formatting.
Upload regulatory guidelines and internal policy documents, then ask Sharly to identify conflicts or missing data. Use the docs-only mode to ensure answers are based only on your files, and share the workspace for team review.
Outcome: You quickly surface compliance gaps and collaborate with your team, with a full audit trail for accountability.
Upload market research reports and customer feedback files, use semantic data extraction to pull key metrics, then ask cross-document questions to synthesize insights. Share findings with the team via annotations.
Outcome: You get a clear synthesis of market trends and customer needs, with sources attached, to guide product decisions.
Use Cases
- Summarize lengthy clinical trial reports and extract key safety data in minutes.
- Compare two market analysis PDFs to find conflicting assumptions about battery prices.
- Verify every claim in a policy paper with inline APA citations from source documents.
- Collaborate with your research team on a shared document set, adding annotations and feedback.
- Extract and compare key metrics like 'AI Policy Review' scores across multiple reports.
- Ask cross-document questions, such as 'What job sectors are most vulnerable to automation?' and get answers with sources.
- Use semantic data extraction to pull structured data from contracts or financial reports.
- Conduct compliance analysis by cross-referencing regulatory documents and internal policies.
Models Under the Hood
as of 2026-08-01
Limitations
- Free tier limits to 5 documents per day and 50 messages per month.
- Pro plan offers unlimited uploads and 50k context.
- Team plan supports up to 100 seats and 124k context.
- Business plan requires custom pricing; no transparent per-seat cost.
- Lacks web search and real-time data retrieval; cannot pull current information from the internet.
- Document viewer and semantic extraction are new (March 2025) and may still be maturing.
- No offline mode.
as of 2026-07-31
Verification history
We have re-verified Sharly AI 15 times since . Each pass re-reads the vendor's own pages and updates only what actually changed.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 15 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Sharly AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/seat/month
Ideal for
Individuals exploring AI research tools with light document needs—up to 5 docs/day and 50 messages/month.
What this tier adds
Starting tier: instant summaries and AI answers, but with daily document and message caps.
Pro
$12.50/seat/month billed yearly
Ideal for
Solo researchers who need unlimited uploads, higher context (50k), and citation format switching.
What this tier adds
Adds unlimited uploads and messages, 50k context, reasoning capabilities, and no training data for LLMs.
Team
$24/seat/month billed yearly
Ideal for
Research teams, analysts, and labs collaborating across documents—up to 100 seats.
What this tier adds
Adds team annotations, knowledge retention, semantic extraction, and analytics; context grows to 124k.
Business
Custom per seat, billed yearly
Ideal for
Institutions needing enterprise-grade security, scale, and support—unlimited seats and custom models.
What this tier adds
Adds admin dashboard, role-based access, version history, audit logs, SSO/SAML, and private deployments.
Where the pricing makes sense
The company stage and team size where Sharly AI's pricing actually pencils out — and where peers do it cheaper.
Sharly AI's free tier is generous for casual users (5 docs/day), and Pro at $12.50/seat/mo (yearly) undercuts many competitors like Elicit (starts at $12/mo but with limited features). Team at $24/seat/mo is competitive for labs. However, business pricing is custom, so larger orgs may find transparent alternatives like Notion AI (flat per-seat) easier to budget for.
Setup time & first value
How long it actually takes to get something useful out of Sharly AI — broken out by persona, not the marketing-page minute.
Individuals: under 5 minutes to sign up, upload a doc, and get a summary. Teams: under 10 minutes to set up a shared workspace, invite members, and start collaborating. Enterprise: 1-2 days for admin setup, SSO, and permissions configuration.
Switching to or from Sharly AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Notion AI: Manually export your documents as PDFs or connect Notion directly—Sharly's Notion sync lets you import docs without leaving your workspace.
- →From ChatGPT: Upload your existing document files to Sharly; you'll get citations and team features that ChatGPT lacks for document analysis.
- ↗To Elicit: If you need systematic literature search, export your uploaded documents and move to Elicit's search-based workflow.
- ↗To Notion AI: If you need a broader workspace, you can export summaries and insights as text and paste them into Notion.
Integrations
Resources & Guides
- Resourcesharly.ai
Sharly AI Pricing | Research Assistant for Individuals, Teams, and Enterprises
Choose the right Sharly plan for high-impact research. Compare Pro, Team, and Business tiers designed for analyst, labs, and institutions. Collaborate securely and cite with confidence.
- Resourcesharly.ai
Sharly AI Use Cases | Research Assistant for Compliance, Academia, and Strategy
See how Sharly accelerates research workflows for compliance teams, academic researchers, and decision-makers. Spot conflicts, cite sources, and extract insights—securely, at scale.
Tutorials & Learning
Official links
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Common stack mates teams adopt alongside Sharly AI, with the specific reason each pairing earns its keep.
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