Sharly AI
Document AI workspace for summarizing, comparing, and citing sources with verifiable insights.
Sharly AI is a dependable workhorse for document-centric research, delivering verifiable, collaborative analysis with robust citation support. It shines for researchers, analysts, and compliance teams who need traceable answers from dense files. However, if you require web search or real-time data, consider tools like Elicit or Perplexity. For document-only workflows, 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 on Business tier
- Researchers who need systematic database search (use Elicit instead)
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Skip Sharly AI if you need live web search, real-time data, or systematic database searching (like Elicit), or if you require transparent per-seat pricing for enterprise-scale deployments.
The free tier limits you to 5 docs/day and 50 messages/month, so heavy usage requires upgrading to Pro at $12.50/seat/month.
Sharly AI's freemium model is best for individual researchers and small teams; Pro at $12.50/seat/month (yearly) is cheaper than most AI research tools like ChatGPT Plus ($20/mo) and Elicit (custom), but Team at $24/seat/month is comparable to Notion AI. For document-centric analysis with citations, Sharly offers competitive pricing for solo users, but enterprises needing SSO/SAML must negotiate custom pricing similar to competitors like Glean.
In short
Sharly AI — Document AI workspace for summarizing, comparing, and citing sources with verifiable insights. 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/user/mo.
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.
Average across the 2 sources that answered — each source counts once, not each post.
- +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: September 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 and inline feedback
- Docs-only answer mode for private reasoning
- Document viewer (new in March 2025)
- Semantic data extraction for structured data
- Inline citations with source page links
- Role-based permissions for team access
- Activity logs for audit trail
- AES-256 encryption at rest and TLS 1.3 in transit
- Multi-format upload (PDF, DOCX, XLSX, PPTX, Google Docs, Notion)
- OCR (image-to-text), text-to-speech, speech-to-text
About Sharly AI
Sharly AI is a document-focused AI research assistant for researchers, analysts, product managers, and compliance teams who need to extract insights from dense files while maintaining full traceability. You can upload PDFs, DOCX, XLSX, PPTX, Google Docs, and Notion documents, then receive instant summaries, key highlights, and structured insights. The tool supports cross-document Q&A, allowing you to ask a question across multiple uploads and get a single answer backed by sources from each document. You can also compare key metrics across documents to surface patterns, conflicts, or missing data. Citation-aware chat attaches verifiable sources to every reply, with a dropdown to switch between APA, MLA, and Chicago formats. For teams, Sharly offers a shared workspace with annotations, inline feedback, and collaborative Q&A, plus role-based permissions and activity logs for control. Security features include AES-256 encryption at rest and TLS 1.3 in transit, and a docs-only answer mode keeps reasoning private. Recently, Sharly added a document viewer and semantic data extraction for pulling structured data from files, standard on Team and Business plans. Pricing starts free (5 docs/day, 10 documents/month, 50 messages/month), scaling to Pro at $12.50/seat/month (billed yearly) for unlimited uploads and reasoning, Team at $24/seat/month for up to 100 seats with semantic extraction, and Business with custom pricing for SSO/SAML and private deployments. Unlike general-purpose chatbots that may hallucinate sources, Sharly anchors every answer to specific pages, making it a reliable choice for verifiable document analysis. However, it lacks web search and real-time data retrieval, so it is not a replacement for tools like Elicit for systematic database search or ChatGPT for general queries.
Behind the Verdict
Sharly AI positions itself as a document-first research assistant, and that focus is its greatest strength. Unlike general-purpose chatbots that generate plausible-sounding sources, Sharly anchors every claim to specific pages in your uploaded documents, with citation formats (APA, MLA, Chicago) selectable from a dropdown. This makes it a trustworthy tool for academic writing, compliance checks, or any scenario where sourcing matters. The cross-document features are particularly useful: you can compare key metrics across multiple PDFs or ask a single question that draws answers from several files, with each part of the response linked back to its source. This capability is rare among document tools and is a differentiator for analysts synthesizing market reports or researchers comparing studies. On the collaboration side, the shared workspace, annotations, and activity logs make it suitable for small research teams and compliance teams that need an audit trail. The docs-only answer mode is a privacy feature that ensures the AI only uses your own files, not external knowledge, which is valuable for confidential research. Where Sharly falls short is in real-time or web-based research. It cannot search the live web or pull in recent data, so it is not a substitute for search-centric tools like Perplexity or Elicit. If your workflow depends on finding new information, you'll need to pair Sharly with a search tool. The pricing is modest for solo researchers and teams, with a free tier that is enough to test the waters. The Pro tier at $12.50/seat/month (yearly) is affordable, and the Team tier at $24/seat/month adds useful features like semantic extraction and knowledge retention. The Business tier is custom-priced, which may be a turn-off for budget-conscious enterprises. Overall, Sharly AI is a reliable, affordable choice for document-centric research, especially if citation accuracy and source transparency are critical. It is not a replacement for a full research platform like Elicit, but for analyzing and synthesizing your own document collections, it is a strong option.
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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 multiple PDF research papers, ask cross-document questions about methodology, and verify every answer with inline citations in APA format.
Outcome: Gather synthesized insights from multiple papers with traceable sources, saving hours of manual note-taking and citation checking.
Upload internal policies and regulatory documents, use docs-only mode to ensure answers stay within your files, and generate a cross-referenced compliance report.
Outcome: Produce a compliance briefing where every claim is backed by a specific page and citation, reducing risk of misinterpretation.
Compare market research reports and user feedback documents, comparing key metrics to identify conflicts and gaps in data.
Outcome: Uncover inconsistencies between reports and get a structured summary of key findings, ready to share with your team with annotations.
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 2026-08-31
Limitations
- Free tier limits to 5 docs/day, 10 documents/month, and 50 messages/month.
- Pro and Team tiers have message and context limits (1,000 messages/month on Pro; 50k context length on Pro, 124k on Team).
- Business tier requires custom pricing and does not list message limits.
- There is no web search or real-time data retrieval; it only analyzes uploaded documents.
- Business tier does not publicly list per-seat pricing.
- The tool may not be suitable for large-scale systematic reviews that require database searching.
as of 2026-08-29
Verification history
We have re-verified Sharly AI 19 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — 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-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
Showing the 6 most recent of 19 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—solo users who need occasional document summaries and citations without paying.
What this tier adds
Free entry point: 5 docs/day, 10 documents/month, 50 messages/month, limited inline citations.
Pro
$12.50/seat/month (billed yearly)
Ideal for
Solo researchers who need unlimited uploads, high-quality answers, and reasoning capabilities with solid citation support.
What this tier adds
Adds unlimited uploads, 1,000 messages/month, reasoning capabilities, no training data for LLMs, and advanced security.
Team
$24/seat/month (billed yearly)
Ideal for
Research teams, analysts, and labs working across documents with collaboration, annotations, and knowledge retention.
What this tier adds
Adds up to 100 seats, unlimited documents & chats, team annotations, knowledge retention, semantic extraction, and analytics.
Business
Custom per seat, billed yearly
Ideal for
Institutions requiring enterprise-grade security, scale, and support—such as universities or large compliance teams.
What this tier adds
Adds unlimited seats, admin dashboard, role-based access, version history, audit logs, SSO/SAML, private deployments, and dedicated support.
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 freemium model is best for individual researchers and small teams; Pro at $12.50/seat/month (yearly) is cheaper than most AI research tools like ChatGPT Plus ($20/mo) and Elicit (custom), but Team at $24/seat/month is comparable to Notion AI. For document-centric analysis with citations, Sharly offers competitive pricing for solo users, but enterprises needing SSO/SAML must negotiate custom pricing similar to competitors like Glean.
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.
Solo users can be up and running in under 5 minutes: sign up, upload a document, and get a summary instantly. Teams may need 15–30 minutes to set up a shared workspace, invite members, and configure roles.
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 Google Docs: Upload or sync your Google Docs directly via Drive integration to start analyzing them in Sharly.
- →From Notion: Connect your Notion workspace to import documents and ask questions across your notes.
- →From local files: Upload PDF, DOCX, PPTX, XLSX files—no conversion needed.
- ↗To Notion: Export your research summaries and citations from Sharly to Notion for documentation or knowledge base.
- ↗To Google Docs: Copy-paste cited answers directly into Google Docs for drafting papers or reports.
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
YouTube returned 6 videos for “Sharly AI”, and we withheld 5: 5 could not be judged, because “Sharly AI” is a single word that other videos use for other things. Showing the 1 we can prove is about Sharly AI.
Official links
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Frequently Asked Questions
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