Humata AI
Humata AI is a PDF AI that answers questions across your documents with cited links into the exact source section — citations you can trace
Humata wins on one thing that matters more than interface polish: every answer points back to a highlighted passage in your own PDF, and on the RepLiQA document benchmark it reported top reading-comprehension performance ahead of GPT-4, Claude 3 and Mistral. For contract review, literature triage or any workflow where someone will ask "where did that come from," that traceability is the product. It is not a general-purpose assistant, and the security and OCR features most enterprises want only
Verified 7h ago · liveness 60/100 · cite: rightaichoice.com/tools/humata-ai
- Researchers triaging long technical papers and needing cited findings
- Legal reviewers checking contract clauses against the exact source text
- Students studying from PDF textbooks and lecture notes
- Analysts pulling traceable answers out of a large document set
- Teams whose document set is mostly scans and can't move up to Team for OCR
- Organizations that need SSO live today — Okta, Google and SAML are still 'coming soon'
- Bulk uploaders pushing well past 5,000 pages a month and unwilling to pay overage
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Skip Humata if your document pile is mostly scanned images and you're not ready for the Team tier — OCR for images and scanned text doesn't appear until Team, so Free and Expert would leave those files effectively unreadable to the assistant.
Page overages bite past your monthly allowance: $0.02 per additional page on Expert and $0.01 per additional page on Team, charged per page over 500 or 5,000 respectively.
A solo researcher or two-person team gets cited PDF answers on Expert at $9.99/mo with 500 free pages — cheaper than enterprise document AI suites, though comparable document-chat tools often sit in the same range. Team at $49/user/mo with 10 included users and 5,000 pages makes more sense than buying several Expert seats once you need permissions or OCR. Budget the $0.02/$0.01 per-page overage above those allowances.
In short
Humata AI — Humata AI is a PDF AI that answers questions across your documents with cited links into the exact source section — citations you can trace. Best for Researchers triaging long technical papers and needing cited findings, Legal reviewers checking contract clauses against the exact source text, Students studying from PDF textbooks and lecture notes. Free to start; paid plans from $9.99/mo.
What's new in Humata AI
Checked 7 days agoAcross the latest 1 update: 1 news mention.
What people actually say about Humata AI — is it worth it?
We scanned public community sources for Humata AI on Aug 18, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Humata 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: October 2026
How we score →Key Features
- Ask questions across uploaded PDFs and get answers with highlighted citations
- Unlimited file uploads, capped by your plan's monthly free-page allowance
- Unlimited questions — re-prompt until the summary is the length and shape you want
- Citations link every answer back to the exact section of the source file
- Compare and search across multiple documents at once
- One-click embed of the PDF Q&A into any webpage
- GPT-5 support on Free, Expert, Team and Enterprise plans
- 256-bit SHA encryption at rest for uploaded files
- Role-based access control for team members
- Department-level permissions (Team and Enterprise)
- Folder-level permissions (Team and Enterprise)
- OCR for images and scanned text (Team and Enterprise)
- Response personalization tuned to your preferences (Team and Enterprise)
- SOC-2 certificate (Enterprise)
- Uptime SLA (Enterprise)
About Humata AI
Humata AI is a PDF Q&A workspace for people who have to show their work — researchers, legal reviewers, analysts and students who need an answer plus the passage it came from, not a confident guess. You upload documents, ask in plain English, and each response comes back with highlighted citations into the source file, so a claim can be checked in one click. The core loop is deliberately narrow: unlimited file uploads, unlimited questions, and the ability to re-prompt the PDF AI — shorten this, compare those two contracts, search across the whole set — until the summary reads the way you need it. Every plan runs GPT-5 support, and the pricing table now lists Department and Folder level permissions, OCR for images and scanned text, and response personalization starting on the Team plan at $49/user/mo. Pricing is usage-metered rather than seat-metered at the bottom. Free gives 1 user 60 free pages a month; Expert is $9.99/mo for up to 3 users with 500 free pages and $0.02 per additional page; Team is $49/user/mo for up to 10 users with 5,000 free pages and cheaper $0.01/page overage. Enterprise is quoted per user for larger teams and stacks on a SOC-2 certificate, an uptime SLA and early access to new features. A one-click embed publishes the Q&A interface into any webpage, which is how small teams turn an internal document set into a customer-facing answer box. Against general assistants, Humata trades breadth for traceability: the citations and the RepLiQA benchmark result are the argument, not a chat stack that lives in your other tools.
Behind the Verdict
The reason to pick Humata over a general chatbot is narrow and real: you get an answer and the highlighted source passage together, which is the difference between a draft you can use and one you have to re-verify from scratch. It fits individual researchers and small professional teams best. Free is genuinely usable at 60 pages a month and 10 answers; Expert at $9.99/mo covers three people and 500 free pages, so a two- or three-person lab or review pod can run a real workflow on it for less than a lunch. The metered overage is where costs creep — $0.02/page on Expert and $0.01/page on Team. We'd reach for this on a 900-page technical report or a stack of vendor contracts; we'd think twice about a rolling archive of image-heavy scans. Where it bites: OCR for images and scanned text only lights up at Team, so a scanned-document workflow on Free or Expert is the wrong fit regardless of price. Department and folder level permissions and response personalization also start at Team, and the SOC-2 certificate and uptime SLA sit at Enterprise. If governance is the blocker, that's the tier you're negotiating. The closest alternative is a general assistant that can ingest files — cheaper to bundle, weaker on citations and document comparison. Humata's published RepLiQA benchmark result and its 2025 $3.5M raise led by Google's Gradient Ventures back the accuracy claim, though it's a vendor-run benchmark and worth treating as directional. Also note the homepage still says SSO with Okta, Google or SAML is "coming soon," so don't buy for identity-provider login today. In practice, teams that get the most out of it treat the free-page allowance as the budget line and the citation view as the audit trail. Two or three reviewers at Expert, then a jump to Team once scans,
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Real-world workflow fit
Concrete scenarios for the personas Humata AI actually fits — and what changes day-one when you adopt it.
Uploads a 200-page agreement, asks for every clause mentioning liability, and re-prompts until the extracted list is the right length for a memo.
Outcome: A cited clause list with highlighted source sections that can go straight into review, instead of a manual page-by-page read.
Builds a folder of 30 papers and asks comparative questions about methodology, following each cited answer back into the source paper.
Outcome: A literature summary whose claims are each traceable to a specific uploaded paper rather than to a model's recall.
Uploads product manuals, embeds the Q&A on a customer-facing help page, and scans the OCR-converted pages so scanned inserts are searchable too.
Outcome: Customers answer their own questions from the manuals with citations, reducing ticket volume for the support team.
Use Cases
- Ask a 200-page contract for every clause mentioning liability, with page citations.
- Run a literature review by uploading 30 papers into a folder and asking comparative questions.
- Turn product manuals into a queryable knowledge base for support agents.
- Summarize a textbook chapter and quiz yourself with citations back to the source pages.
- Extract defined terms from due diligence documents during corporate review.
- Embed a cited document Q&A on a client portal so customers answer their own questions.
- Check a draft summary against the source document before it goes to a supervisor.
Models Under the Hood
as of 2026-10-15
Limitations
- Every plan is capped by a monthly free-page allowance: 60 pages on Free (1 user), 500 on Expert (3 users), and 5,000 on Team (10 users), with additional pages billed at $0.02/page on Expert and $0.01/page on Team.
- Free is single-user.
- SSO with Okta, Google, or SAML is stated on the vendor's security section as coming soon rather than available today.
- OCR for images and scanned text, department- and folder-level permissions, and response personalization all start at the Team tier, so scanned-document workflows and fine-grained access control are not available on Free or Expert.
- SOC-2 certification, an uptime SLA, and early access to new features are reserved for Enterprise.
as of 2026-10-01
Verification history
We have re-verified Humata AI 22 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-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-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 22 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 Humata 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/mo
Ideal for
A solo reader testing Humata on one paper or a short contract before committing any budget.
What this tier adds
Starting tier: $0/mo, 1 user, 60 free pages monthly and up to 10 answers, with no option to buy additional pages.
Expert
$9.99/mo
Ideal for
A solo professional or a small team of up to three people with a steady but bounded monthly document load.
What this tier adds
Adds 2 more users (3 total), raises the monthly free-page allowance to 500, adds $0.02/page overage pricing, and includes premium chat support.
Team
$49/user/mo
Ideal for
A team of up to 10 that needs access control and has scanned or image-heavy documents to read.
What this tier adds
Adds department- and folder-level permissions, OCR for images and scanned text, response personalization, 5,000 free pages, and a lower $0.01/page overage.
Enterprise
Custom/user/mo
Ideal for
Larger organizations needing compliance documentation or a contractual uptime commitment.
What this tier adds
Custom pricing with unlimited users: adds a SOC-2 certificate, an uptime SLA, and early access to new features.
Where the pricing makes sense
The company stage and team size where Humata AI's pricing actually pencils out — and where peers do it cheaper.
A solo researcher or two-person team gets cited PDF answers on Expert at $9.99/mo with 500 free pages — cheaper than enterprise document AI suites, though comparable document-chat tools often sit in the same range. Team at $49/user/mo with 10 included users and 5,000 pages makes more sense than buying several Expert seats once you need permissions or OCR. Budget the $0.02/$0.01 per-page overage above those allowances.
Setup time & first value
How long it actually takes to get something useful out of Humata AI — broken out by persona, not the marketing-page minute.
Solo user on Free: sign up without a credit card and ask your first cited question within minutes. Small team on Expert: most of the setup is getting the document set right, so plan on an afternoon if you are organizing papers into folders. Team tier: allow a day if you are also configuring roles, department and folder permissions, OCR on scanned files, and the webpage embed.
Switching to or from Humata AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ChatGPT: export or collect the PDFs you were pasting into chat and re-upload them so answers come back with citations into the files.
- →From manual contract review in Word or Adobe: upload the source PDFs directly, since readable text PDFs don't need OCR.
- →From a general PDF reader (Preview, Acrobat, browser viewer): replace keyword search with question-and-answer, then follow the citations back to the same pages.
- →From a spreadsheet of extracted terms: re-derive the term list by asking questions against the source documents so every row traces to a page.
- ↗To a general assistant (ChatGPT, Claude, Gemini): re-upload your PDFs there when you need broader conversation than document Q&A, accepting you lose the highlighted source citations.
- ↗To an enterprise document AI suite: export your source files and rebuild the folder structure in the enterprise product when you need SSO running today or a larger compliance surface.
- ↗To a self-hosted or offline document search stack: download the original PDFs and re-index them locally if data residency requires the documents never leave your own infrastructure.
Resources & Guides
- Resourcehumata.ai
Humata Blog: ChatGPT for Your Data Files
Unlock AI insights for your files instantly. Ask, learn, and extract data 10X faster with Humata.
- Resourcehumata.ai
Humata Pricing: Choose the Perfect Plan for Your Needs
Explore Humata's simple and transparent pricing. From a free plan to enterprise solutions, find the right fit for your team's data needs and budget.
Tutorials & Learning
YouTube returned 6 videos for “Humata AI”, and we withheld 5: 5 could not be judged, because “Humata AI” is a single word that other videos use for other things. Showing the 1 we can prove is about Humata AI.
Official links
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