Is Sharly AI worth it for a solo researcher?

Yes if you work across a set of documents rather than one. Pro at $12.50/month per seat billed yearly gives unlimited uploads, reasoning, 50k context, and 1,000 messages/month, plus the confidence that your data is not used to train LLMs. If you mostly chat with a single PDF, a free single-document tool covers it for less.

Does Sharly AI integrate with Google Drive and Notion?

Yes. Sharly's pricing page lists Drive / Notion / Dropbox sync, and the upload surface accepts PDF, DOCX, PPTX, Google Docs, and Notion. That means you can pull documents from those sources rather than downloading and re-uploading them by hand.

How does Sharly AI compare to ChatPDF?

ChatPDF is built around one document at a time. Sharly answers one question across every upload in a single thread and adds Key Metrics Comparison, which labels each document's value Match, Conflict, or Data Missing. If you need to reconcile two reports that disagree, that comparison view is the reason to pick Sharly; if you only read one PDF, ChatPDF is the simpler option.

What's the cheapest Sharly AI plan?

Free is $0 per seat and includes instant summaries and AI answers, 5 docs/day, 10 documents and 50 messages a month, 10k context, and multi-format upload. Pro is the first paid tier at $12.50/month per seat billed yearly and removes the upload cap. The pricing page advertises a 20% saving for yearly billing over monthly.

What are Sharly AI's biggest limitations?

It only answers from your uploaded files — no live web search or published-database search. Free caps at 10 documents and 50 messages a month with 10k context, and semantic data extraction, citation history, and 124k context are Team-tier features rather than Pro. Team also tops out at 100 seats, with anything larger moving to Business.

Can Sharly AI replace a systematic literature search tool?

No. Sharly is deliberately a closed-world tool: docs-only answer mode means replies come only from your uploads. Use a discovery tool to find the papers, then bring the final set into Sharly to summarize, compare, and cite them in APA, MLA, or Chicago.

How long does Sharly AI take to set up?

For an individual, minutes: sign up, upload a document, and the summary with key insights appears right after upload. For a team, plan on an afternoon to create shared workspaces, invite seats, and agree on docs-only mode — SSO and admin controls only arrive on Business at custom per-seat pricing.

Is Sharly AI good for compliance and regulatory document review?

It fits the work well: Key Metrics Comparison flags where two documents disagree, inline citations link each claim to its source page, and the document viewer lets you verify without leaving the workspace. Audit logs, version history, and SSO/SAML are Business-tier, so a compliance team needing those should budget for custom per-seat pricing.

Sharly AI is live · free plan, paid from $12.50/mo billed annually · last verified 26 Oct 2026 · viability healthy

Document Q&A & Summarizing

Sharly AI

Q: Does Sharly AI keep my documents private?

Sharly lists AES-256 encryption at rest and TLS 1.3 in transit, and Pro adds an explicit no-training-data-for-LLMs policy. Docs-only answer mode restricts replies to your uploads, and Team and Business add role-based permissions, activity logs, and, on Business, SSO/SAML and private deployments.

Sharly AI is a document research assistant that summarizes, cross-compares, and citations your PDFs and reports across a single thread.

82/100Safe BetFree · from $12.50/mo billed annuallyFreemium

If your job is reconciling numbers and claims across a stack of reports, the Match/Conflict/Data Missing comparison is the feature worth switching for — a general chatbot won't flag that two documents disagree. Pro at $12.50/month per seat billed yearly is inexpensive for unlimited uploads, and Team adds semantic extraction for labs. The catch: this is a closed-world tool by design, so if you need live web results or systematic database search, it will feel narrow.

Verdict generated Oct 21, 2026

Verified 4d ago · liveness 82/100 · cite: rightaichoice.com/tools/sharly-ai

Best for

Researchers and principal investigators running literature reviews across dozens of papers
Compliance and risk analysts reconciling figures across regional or regulatory reports
Academics who need APA, MLA, or Chicago citations pulled straight from the source page
Product and strategy teams comparing competing market forecasts across documents

Not ideal for

Anyone who needs live web search or real-time data retrieval
Systematic literature search across published databases — pair with a discovery tool instead
Single-PDF casual Q&A where a free single-document tool is enough

Visit Website

IntermediateFor an individual: minutes to first value — create an account, upload a PDF, and the auto-summary with key insights appears right after upload. For a team: budget an afternoon to set up shared workspaces, invite seats, and agree on docs-only mode; SSO/SAML and admin controls sit on Business and take IT involvement.WebNo public API3.1k viewsVerified 4d ago

Pricing

Free · from $12.50/mo billed annually

FreemiumFree tier4 plans5 hidden costs

Learning curve

Intermediate

For an individual: minutes to first value — create an account, upload a PDF, and the auto-summary with key insights appears right after upload. For a team: budget an afternoon to set up shared workspaces, invite seats, and agree on docs-only mode; SSO/SAML and admin controls sit on Business and take IT involvement.

Runs on

Web

No public API · 4 integrations

Who it's for

Solo researcher or academicCompliance or risk analystResearch lab or strategy team

Live sentiment

Is Sharly AI actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

Honest verdict, not marketing
Real pros & cons from real users
Attributed quotes with receipts

Run a free scan

3 free scans · no card needed

Skip it if

Skip Sharly if you need the tool to search the live web or published literature databases on its own — Sharly deliberately answers only from the files you upload.

Skip-it-if note generated Oct 21, 2026

The 30-second take

Biggest gripe

Hitting your monthly document or message quota pauses uploads and chats until the next billing cycle, so heavy months force an upgrade rather than an overage charge.

Price reality

Pro at $12.50/month per seat billed yearly is inexpensive for unlimited uploads with 50k context, and Team at $24/month per seat billed yearly is still well below what enterprise research platforms charge. Free is a real entry point at $0 with 5 docs/day, but 10k context and 10 documents a month mean it is a demo tier. Compare against single-document tools that charge monthly for one-PDF chat — you pay a bit more here for cross-document work.

Generated Oct 21, 2026

In short

Sharly AI — Sharly AI is a document research assistant that summarizes, cross-compares, and citations your PDFs and reports across a single thread. Best for Researchers and principal investigators running literature reviews across dozens of papers, Compliance and risk analysts reconciling figures across regional or regulatory reports, Academics who need APA, MLA, or Chicago citations pulled straight from the source page. Free to start; paid plans from $12.50/mo billed annually.

No head-to-head comparison for Sharly AI yet — the alternatives below are the closest matches we list.

What is Sharly AI?

FreemiumIntermediateNo APIWeb

Sharly AI is a document research assistant built for people who work from file sets rather than the open web. It ingests PDFs, DOCX, PPTX, XLSX, Google Docs, and Notion pages, then summarizes them with key insights and bullets shortly after upload. From there you ask questions across every document in one thread, and answers come with inline citations you can hover and click to verify against the source page. A dropdown switches citation style between APA, MLA, and Chicago. The centerpiece is Key Metrics Comparison. You line up a figure across several documents and Sharly tags each row Match, Conflict, or Data Missing, which surfaces when two reports quote different numbers. A document viewer now shows the source file beside cited answers, so verification happens without leaving the app. Semantic data extraction, on Team and Business, pulls structured fields out of contracts and reports. Governance carries real weight here. Docs-only answer mode restricts replies to your uploads, files sit under AES-256 at rest and TLS 1.3 in transit, and Team and Business add shared workspaces, annotations, role-based permissions, citation history, version history, and SSO/SAML. The vendor cites 2M+ researchers and analysts. Pricing runs Free (5 docs/day) through Pro at $12.50/month per seat billed yearly, Team at $24/month per seat billed yearly up to 100 seats, and Business at custom per-seat pricing. It sits closest to ChatPDF and AskYourPDF, but those handle one document at a time; cross-document comparison and the shared team workspace are the case for moving a whole team onto it.

Key features

Cross-document Q&A answering one question across multiple uploads in a single thread
Key-metric comparison across documents with Match, Conflict, and Data Missing status
Citation-aware chat with inline source links you can hover, click, and verify
Citation format switcher for APA, MLA, and Chicago from a dropdown
Document viewer for reading uploaded files beside cited answers
Instant auto-summaries with key insights and bullets after upload
Docs-only answer mode restricting replies to your uploads
Semantic data extraction for structured data from contracts and reports
OCR (image-to-text) for scanned documents, limited on Free
Text-to-speech and speech-to-text
Saved prompts and a prompt library
Metadata extraction
Multilingual support
Model selection and tuning on paid plans
Multi-format upload for PDF, DOCX, PPTX, XLSX, Google Docs, and Notion

Behind the verdict

Plenty of AI tools read a single PDF. Fewer are built for the messy reality of five reports that should agree with each other and don't. That gap is where Sharly earns its place: the metric comparison table is the kind of thing a compliance analyst or a literature-review lead will use every week, not just once. We'd reach for it when the deliverable is a cited synthesis. A principal investigator merging a dozen papers, a risk team cross-checking regional regulatory reports, a strategy group comparing competing market forecasts — all of them need the same thing Sharly does: one thread, many documents, every claim tied back to a page. When to pass: if your research starts with a search over published literature rather than a pile of files you already have, pair a discovery tool with Sharly or skip it. Casual single-PDF Q&A is cheaper elsewhere, and anyone needing live web retrieval will find the docs-only mode a wall rather than a feature. In practice the citation handling is the quiet win. Hover-and-verify on every claim plus a format switcher saves the tedious manual reformatting academics grind through. The document viewer addition means you stop tab-hopping to check a figure. Where it bites: the tiers are gated carefully. Free caps at 5 docs/day, and semantic extraction, citation history, and SSO are Team-and-above territory, so a solo researcher on Pro won't get the structured-extraction features a contract reviewer might want. Budget for Team if you actually need those. The closest alternative is ChatPDF or AskYourPDF for single-document Q&A. They're fine and cheaper for one file. Sharly's edge appears the moment you have to compare across sources — that's the buying decision, not the summarization.

Models under the hood

GPT-4o-mini (Free)GPT-4o (paid plans)

as of 2026-10-23

Limitations

Free plan is capped at 5 docs/day, and the Pro tier ($12.5/month billed yearly) is required for high-quality answers, unlimited uploads, and reasoning capabilities.
Team is priced at $24/month per seat (up to 100 seats) with unlimited documents and chats, while Business is custom-priced per seat for unlimited seats with SSO/SAML and admin controls.
The reviewed pages do not name any underlying AI model, so model/version cannot be verified from public content.

as of 2026-10-21

Researching Sharly AI? Get your full AI stack in 60 seconds.

Free, no signup — tell us your goal and get tools matched to your budget & existing stack.

Is Sharly AI still active?

Sharly AI is live · free plan, paid from $12.50/mo billed annually · last verified 26 Oct 2026 · viability healthy.

Viability score

82/100

Safe Bet

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

Recent activity

not measured

Traction

100

Site health

User sentiment

What the vendor publishes

Last calculated: October 2026

How we score →

What do users say about Sharly AI?

What people actually say about Sharly AI — is it worth it?

Our community sentiment research written Jul 31, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.

How we verified this

Every listed fact about Sharly AI— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 26 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.

Verification history

We have re-verified Sharly AI 22 times since May 29, 2026. 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.

Oct 26, 2026 — changed summary, pricing tiers, our verdict, who should skip it, description, who it suits, features
Oct 23, 2026 — changed limitations
Oct 21, 2026 — changed switching in, setup time, switching out, pricing fit, who should skip it, our verdict, who it suits, features, hidden costs, description, summary, limitations, use cases
Oct 11, 2026 — changed pricing tiers, summary, features, our verdict, description, who it suits, who should skip it
Oct 9, 2026 — changed limitations
Sep 30, 2026 — changed setup time, who it suits, description, our verdict, features, hidden costs, integrations, limitations, switching in, switching out, who should skip it, pricing tiers, pricing fit, summary, use cases

Showing the 6 most recent of 22 verification passes.

Free to cite with attribution — this page re-verifies continuously.

How much does Sharly AI cost in 2026?

Sharly AI: Free to start; paid plans from $12.50/mo billed annually. Pricing last verified 26 Oct 2026.

Plans compared

Every published Sharly AI tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.

Sharly AI pricing plans compared
Plan	Price	Billing	Who it's for
Free	FreeVendor: “$0 per seat, billed yearly”	—	An individual testing whether cross-document Q&A beats their current single-PDF tool, with light weekly use.Adds: Starting tier: $0 with 5 docs/day, 10 documents and 50 messages a month, 10k context, and limited OCR and inline citations.
Pro	$12.50/mo billed annuallyVendor: “$12.5/month billed yearly”	monthly, billed annually	A solo researcher or analyst working through a personal document set who needs unlimited uploads and citations.Adds: Adds unlimited uploads, reasoning capabilities, 50k context, 1,000 messages/month, no LLM training on your data, and multiple shared workspaces.
Team	$24/seat/mo billed annuallyVendor: “$24/month per seat, billed yearly”	monthly, billed annually, per seat	A research lab, analyst group, or compliance team of up to 100 seats working from a shared document set.Adds: Adds semantic data extraction, 124k context, unlimited documents and chats, citation history, analytics, and team annotations at $24/month per seat billed yearly.
Business	Custom per seat, billed yearly	quote	Universities, institutions, and enterprises needing SSO/SAML, audit logs, and private deployment across unlimited seats.Adds: Adds admin dashboard with role-based access, version history and audit logs, SSO/SAML, private deployments, custom context length and model tuning, and a dedicated support line at custom per-seat pricing.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Plan

Annual total

Free

Over 12 months

Effective monthly

—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

Hitting your monthly document or message quota pauses uploads and chats until the next billing cycle, so heavy months force an upgrade rather than an overage charge.
Pro gets unlimited uploads but only 1,000 messages/month; a chat-heavy team can hit that ceiling before the month ends.
Semantic data extraction, citation history, and 124k context are Team-tier features, so a solo researcher who needs structured extraction jumps from $12.50 to $24 per seat billed yearly.
Team is capped at 100 seats — growing past that moves you to Business at custom per-seat pricing.
The $12.50 and $24 per-seat rates are yearly-commitment prices; the pricing page advertises monthly billing with 20% off for yearly, so month-to-month costs more.

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.

Hidden-cost and price-fit notes generated Oct 21, 2026

Has Sharly AI's pricing changed?

No plan price for Sharly AI has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.

Who should pick Sharly AI?

Pick Sharly AI if you are Researchers and principal investigators running literature reviews across dozens of papers, Compliance and risk analysts reconciling figures across regional or regulatory reports, Academics who need APA, MLA, or Chicago citations pulled straight from the source page, Product and strategy teams comparing competing market forecasts across documents.

Look elsewhere if you are Anyone who needs live web search or real-time data retrieval, Systematic literature search across published databases — pair with a discovery tool instead, Single-PDF casual Q&A where a free single-document tool is enough, Teams looking for a full project management or wiki platform.

Skip it if Skip Sharly if you need the tool to search the live web or published literature databases on its own — Sharly deliberately answers only from the files you upload.

Generated Oct 21, 2026

Real-world workflow fit

Concrete scenarios for the personas Sharly AI actually fits — and what changes day-one when you adopt it.

Solo researcher or academic

Upload a dozen PDFs from a literature review into one workspace, ask 'what do these studies disagree about on sample size?', and switch citations to APA from the dropdown before pasting into a draft.

Outcome: You get a cross-document answer with inline citations you can click to verify on the source page, instead of re-reading each paper to reconcile claims.

Compliance or risk analyst

Drop regional regulatory reports and internal policy documents into Sharly, then run Key Metrics Comparison on a headline figure across them.

Outcome: Each row is labelled Match, Conflict, or Data Missing, so a differing number between two reports surfaces immediately rather than at review time.

Research lab or strategy team

Set up a shared workspace with role-based permissions, have teammates annotate answers, and use Docs-only answer mode so nothing outside the upload set feeds a reply.

Outcome: Peer review happens inside the same thread as the answer, with activity logs and version history available for audit on Team and Business.

Workflow scenarios generated Oct 21, 2026

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, with conflicts flagged in the metric comparison view.
Verify every claim in a policy paper with inline APA citations pulled from the source pages.
Collaborate with your research team on a shared document set, adding annotations and inline feedback.
Extract and compare key metrics like AI policy review scores across multiple reports.
Ask a cross-document question such as 'What job sectors are most vulnerable to automation?' and get an answer with sources.
Use semantic data extraction to pull structured fields from contracts or financial reports.
Run compliance analysis by cross-referencing regulatory documents against internal policies.

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.

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.

Migrating in

→From ChatPDF: upload your existing PDF set to a Sharly workspace and re-ask the same questions across documents instead of one file at a time.
→From AskYourPDF: move your link-imported documents into Sharly and use Drive/Notion/Dropbox sync to keep the set current.
→From manual spreadsheet comparison: enter the metric once in Key Metrics Comparison and let Sharly label each document's value Match, Conflict, or Data Missing.

Migrating out

↗To ChatPDF: export your PDFs and rebuild single-document chats there if you no longer need cross-document comparison.
↗To a reference manager (Zotero, EndNote): copy the APA/MLA/Chicago citations Sharly generates into your bibliography rather than exporting a library.

Integrations

Google DriveNotionDropboxGoogle Docs

Resources & guides

Tutorials & Learning

Sharly AI Tutorial #tools #aitools #digitaltools

ToolCano

Sharly.AI Promo Code 'SAVE30' – Chat with Any PDF & Save 70%!

Discount Promo Code

YouTube returned 6 videos for “Sharly AI”, and we withheld 4: 4 could not be judged, because “Sharly AI” is a single word that other videos use for other things. Showing the 2 we can prove are about Sharly AI.