Sharly AI
Summarizes and answers questions across documents, with citations and OCR.
FreemiumFree planWeb
Last verified Jul 8, 2026
Decision snapshot
Fast-read signals for fit, pricing, and trust.
- Category
- Business and Productivity
- Best for
- AI summarizer
- Pricing
- Freemium
- Access
- Free plan available
What is this tool?
Sharly AI is a document-Q&A tool that answers questions across many files at once, runs automatic OCR on scanned PDFs, and extracts citations, with cross-document analysis and custom response behaviour you can tune. It is aimed at researchers and teams working through large or scanned document sets who want sourced answers. Cross-document analysis with OCR and tunable behaviour is its angle. Answers come from your files, so a check against the cited source still matters.
By QT Desk
Read full overviewHide full overview
You upload documents and it summarises them and answers questions across the set, extracting citations so each answer can be traced, running OCR on scanned PDFs, and analysing across multiple documents rather than one at a time.
It suits researchers, analysts, and teams working through long or numerous documents who want quick, sourced answers instead of reading everything.
Answers are grounded in the files you provide and citations let you verify, but it can still misread or miss context, so checking the cited source matters for anything important.
Is this right for you?
Quick fit check against how you actually work.
Choose this if
- You question many documents at once
- You want citations you can verify
- You handle scanned PDFs needing OCR
- You compare across documents
Consider alternatives if
- You need answers without source files
- You want a general web chatbot
- You handle only short, simple files
Key features
What you can actually do with this tool.
Summarization
Summarises long documents into key insights and highlights.
Question answering
Answers questions across your uploaded files.
Citation extraction
Extracts the source behind each answer for verification.
Cross-document analysis
Analyses across multiple documents, not one at a time.
Automatic OCR
Runs OCR on scanned PDFs so image-based files are searchable.
Custom behaviour
Lets you tune how the AI responds to your needs.
Plans & pricing
Pricing tiers and what's included in each.
Sharly AI has a permanent free plan with 5 documents/day, 10 documents/month, and 50 messages/month, with instant summaries and multi-format support (PDF, DOCX, Notion). The Pro plan is $12.50/month billed annually (20% annual discount), with unlimited uploads, 1,000 messages/month, advanced reasoning, and no LLM training on user data. The Team plan is $24/month per seat (billed annually) for up to 100 seats, with unlimited documents and chats, team annotations, 30-day knowledge retention, semantic extraction, and analytics. Business plan is custom per seat with SSO/SAML, admin dashboard, audit logs, and private deployments. Verified from sharly.ai/pricing on 2026-07-08.
Free
$0
- 5 docs/day, 10 docs/month, 50 messages/month
Pro
—/ year
- Unlimited uploads, 1,000 messages/month, advanced reasoning, no LLM training on data; $12.50/month billed annually
Team
—/ year
- Unlimited docs and chats, team annotations, 30-day knowledge retention, analytics; $24/seat/month billed annually (up to 100 seats)
Business
Custom/seat
- SSO/SAML, admin dashboard, audit logs, role-based access, private deployments
Pricing last checked: Jul 8, 2026Official pricing pagePricing may have changed. Always verify before purchasing.
How to use this tool
A short path to first value.
Upload the documents you need to work through.
Ask a question across the files.
Read the answer and open its citations.
Verify the cited source for important points.
Compare across documents as needed.
Summarise the set for a quick overview.
Frequently asked
Common questions about this tool, answered.
Can I trust the answers?
Treat them as grounded but checkable — citations let you verify the source, which matters because it can still misread or miss context.
Does it handle scanned PDFs?
Yes — automatic OCR makes image-based PDFs searchable, so scanned documents work alongside digital ones.
Can it work across many files?
Yes — cross-document analysis answers questions spanning a set and can compare documents, not just one.
How is it different from a general chatbot?
It answers from your uploaded files with citations rather than the open web, so it's built for working through your own documents.
How it compares
Context for choosing between this tool and alternatives.
For document Q&A, Sharly weighs cross-document analysis and citations, where Humata pairs cited answers with secure data rooms, Explainpaper focuses on explaining research papers, and TLDR This on quick summaries. Compare on whether multi-document analysis with citations is the core need.
Similar AI tools to consider
Other tools that show up for the same kind of work.
Verified against the official siteLast verified Jul 8, 2026