Humata AI is live · free plan, paid from $9.99/mo · last verified 23 Oct 2026 · viability monitor
Humata AI
Humata AI is a PDF AI that answers questions across your documents with citations linking back to the exact source passage
Humata wins on the thing that matters most in document work: every answer points back to a highlighted passage in your own PDF. The published RepLiQA benchmark result — ahead of GPT-4, Claude 3 and Mistral — is real, if self-reported. For contract review, literature triage or any workflow where a supervisor asks "where did that come from," that traceability is the product. It is not a general assistant, and OCR, folder and department permissions, and response personalization all start at Team ($49/user/mo). If you need cheap cited PDF Q&A for one person, start on Free (60 pages/mo) or Expert ($9.99/mo, 3 users, 500 pages).
Verdict generatedVerified 7d ago · liveness 48/100 · 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
- Bulk uploaders pushing well past 5,000 pages a month and unwilling to pay overage
- Buyers wanting a general-purpose assistant wired into their existing chat stack
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Skip Humata if you want a general-purpose assistant that lives inside your chat stack — Humata is scoped to answering questions over uploaded files and citing the page.
Free stops at 60 pages a month and 10 answers, so anything beyond a quick trial pushes you onto Expert at $9.99/mo.
Humata's free tier (60 pages/mo, 1 user) is a real evaluation, and Expert at $9.99/mo is cheap for three people with 500 pages — well below most per-seat document AI tools. The step change is Team at $49/user/mo, where a 5-person team pays $245/mo mainly to unlock OCR and folder permissions. Teams under five people with a modest page volume get more value from Expert plus page overage than from Team.
In short
Humata AI — Humata AI is a PDF AI that answers questions across your documents with citations linking back to the exact source passage. 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 is Humata AI?
Humata AI — Humata AI is a PDF AI that answers questions across your documents with citations linking back to the exact source passage. 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.
Humata AI is a document Q&A workspace built for people who have to show their work: researchers, legal reviewers, analysts and students who need an answer plus the passage it came from. You upload files, ask in plain English, and each response returns with highlighted citations into the source file, so a claim can be checked in one click. The loop is deliberately narrow. The vendor advertises unlimited file uploads (capped by a monthly free-page allowance), unlimited questions, and re-prompting until a summary reads the way you want: shorten it, ask for a comparison across two contracts, search across the whole set. Every plan lists GPT-5 support, and the current pricing table adds department- and folder-level permissions, OCR for images and scanned text, and response personalization starting on the Team plan at $49/user/mo. Enterprise is quoted per user and stacks on a SOC-2 certificate and an uptime SLA. A one-click embed publishes the Q&A interface onto any webpage, which is how small teams turn an internal document set into a customer-facing answer box. On the RepLiQA document benchmark Humata published results ahead of GPT-4, Claude 3 and Mistral — the clearest published evidence for its cited-answer accuracy. Against a general assistant, Humata trades breadth for traceability: the citations are the argument, not a chat stack wired into your other tools.
Key features
- Cited answers that link back to the exact section of the source file
- Unlimited file uploads, capped by your plan's monthly free-page allowance
- Unlimited questions with re-prompting until the summary matches what you need
- 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
- 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)
- 256-bit SHA encryption at rest for uploaded files
- Role-based access control for team members
- SOC-2 certificate (Enterprise)
- Uptime SLA (Enterprise)
- API access listed in the site navigation
Behind the verdict
The honest framing of Humata is that it does one job and does it visibly. Upload a document set, ask a question, and the answer arrives with a citation you can click into the source file. The re-prompt loop is genuinely useful in practice: ask for a shorter summary, ask it to compare two clauses, ask it to sweep the whole folder for a defined term. Unlimited uploads and unlimited questions mean the ceiling is your page allowance, not your question count. Where it holds up best is high-stakes reading. The vendor's RepLiQA benchmark result — published on its blog and reported ahead of GPT-4, Claude 3 and Mistral — is the strongest available evidence that its cited extraction is accurate rather than merely confident. Legal reviewers checking liability clauses, analysts pulling defined terms out of due-diligence documents, and students quizzing themselves against textbook pages all benefit from a citation they can verify in one click. The constraints are real and mostly pricing-shaped. Free is one user and 60 pages a month with 10 answers, which is a trial in all but name. Expert at $9.99/mo covers three users and 500 pages, with $0.02 per additional page. Team jumps to $49/user/mo for 10 users and 5,000 pages at $0.01 per additional page, and it is the tier where OCR for scanned text, department-level permissions, folder-level permissions and response personalization actually turn on — so any scan-heavy or access-controlled workflow is a Team conversation. Enterprise adds a SOC-2 certificate, an uptime SLA and early access to new features, quoted per user. Against general assistants, Humata gives up breadth. It is not where you draft an email or wire up your chat stack. Against dedicated contract-analysis or e-discovery platforms, it gives up specialized review workflows. What it keeps is the citation, the folder structure, and a one-click embed that turns a document set into a customer-facing answer box. Pick it when verifiability beats versatility; skip it if you need a general-purpose assistant or you are pushing well past 5,000 pages a month without wanting overage.
Models under the hood
as of 2026-10-22
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.
- 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.
- On the security page the vendor describes SSO with Okta, Google or SAML as coming soon.
as of 2026-10-23
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Is Humata AI still active?
Humata AI is live · free plan, paid from $9.99/mo · last verified 23 Oct 2026 · viability monitor.
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 →What do users say about Humata AI?
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.
How we verified this
Every listed fact about Humata 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 23 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Humata AI 23 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.
- — changed who should skip it, switching in, pricing fit, use cases, switching out, summary, models, limitations, our verdict, setup time, description, pricing tiers, features, hidden costs
- — changed SSL certificate
- — changed description, features, who it suits, our verdict, summary, pricing tiers, who should skip it
- — changed models, limitations
- — changed use cases, who it suits, description, our verdict, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing tiers, pricing fit, setup time, summary
- — changed who it suits, pricing tiers, summary, features, description, our verdict, who should skip it
Showing the 6 most recent of 23 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Humata AI cost in 2026?
Humata AI: Free to start; paid plans from $9.99/mo. Pricing last verified 23 Oct 2026.
Plans compared
Every published Humata 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.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | One person who wants to test cited PDF Q&A on a short document or two before paying anything.Adds: Free entry point: basic features, GPT-5 support, 1 user, 60 free pages per month and 10 answers. |
| Expert | $9.99/mo | monthly | A solo professional or a small team of up to three people reading a moderate volume of documents each month.Adds: Adds 2 more users (3 total), 500 free pages per month and premium chat support, with $0.02/page overage. |
| Team | $49/user/mo | monthly, per seat | A workgroup of up to 10 that needs scanned documents searchable and per-department or per-folder access control.Adds: Unlocks OCR, department-level permissions, folder-level permissions and response personalization, and drops overage to $0.01/page with 5,000 free pages. |
| Enterprise | Custom/user/mo | quote | Larger organizations that need a SOC-2 certificate, an uptime SLA and unlimited seats on custom terms.Adds: Adds unlimited users, a custom free-page allowance, a SOC-2 certificate, an uptime SLA and early access to new features over Team. |
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.
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.
Humata's free tier (60 pages/mo, 1 user) is a real evaluation, and Expert at $9.99/mo is cheap for three people with 500 pages — well below most per-seat document AI tools. The step change is Team at $49/user/mo, where a 5-person team pays $245/mo mainly to unlock OCR and folder permissions. Teams under five people with a modest page volume get more value from Expert plus page overage than from Team.
Has Humata AI's pricing changed?
No plan price for Humata AI has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Humata AI?
Pick Humata AI if you are 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.
Look elsewhere if you are Teams whose document set is mostly scans and can't move up to Team for OCR, Bulk uploaders pushing well past 5,000 pages a month and unwilling to pay overage, Buyers wanting a general-purpose assistant wired into their existing chat stack, Enterprise buyers who need a SOC-2 certificate without a sales conversation.
Skip it if Skip Humata if you want a general-purpose assistant that lives inside your chat stack — Humata is scoped to answering questions over uploaded files and citing the page.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Humata AI actually fits — and what changes day-one when you adopt it.
Uploads 15 papers on Free, asks for each paper's methodology and sample size, then re-prompts to shorten the summaries until they fit a literature table.
Outcome: A cited reading list where every claim links to the page it came from, without paying anything for the first 60 pages.
Uploads a contract set to a Team folder, asks for every clause mentioning liability or indemnity, and checks each answer against the highlighted source passage.
Outcome: A clause inventory that a supervisor can audit in one click, with folder-level permissions keeping the rest of the team out of sensitive matters.
Loads product manuals and troubleshooting guides, then embeds the Q&A box on the customer help page.
Outcome: Customers answer their own questions from the manual, and each answer links to the section it came from instead of an unsourced paraphrase.
Use cases
- Ask a 200-page contract for every clause mentioning liability and get page-level citations.
- Upload 30 papers into a folder and ask comparative questions across the set.
- Turn product manuals into a queryable knowledge base for support agents.
- Summarize a textbook chapter and quiz yourself against 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.
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.
Free and Expert are self-serve with no credit card: sign up, upload your first PDF, and you can ask a cited question in minutes. Team takes longer in practice because folder and department permissions need planning before you upload, and Enterprise adds a sales conversation plus the SOC-2 and SLA paperwork.
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: re-upload the PDFs you would otherwise paste into chat and use Humata's cited answers where you need the source passage.
- →From manual PDF reading: upload the full document set and ask the question you would otherwise search for page by page.
- →From a shared drive of manuals: drop the folder into Humata and get a queryable knowledge base with page citations.
- ↗To a dedicated contract-review platform: Humata's output is cited answers, not a clause-tagged review workflow, so plan to re-tag on the new tool.
- ↗To a general assistant: export your summaries and re-ask the questions in a chat tool, accepting that you lose the one-click citation back to the page.
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
What are the best Humata AI alternatives?
The closest alternatives to Humata AI we list are Sharly AI, Google NotebookLM and NotebookLM. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Sharly AI | Freemium | Pricing not published | — |
| Google NotebookLM | Free | Free | — |
| NotebookLM | Free | Free | — |
Alternatives to Humata AI
View allSharly AI
Sharly AI is a document research assistant that summarizes, cross-compares, and citations your PDFs and reports across a single thread.
Google NotebookLM
Google Gemini Notebook (formerly NotebookLM) delivers source-grounded AI research with cited answers and Audio Overview podcasts.
NotebookLM
Google's source-grounded research assistant that answers only from the files you upload and cites the passage behind each claim
Tools that pair well with Humata AI
Common stack mates teams adopt alongside Humata AI, with the specific reason each pairing earns its keep.
Sharly AI
Sharly AI is a document research assistant that summarizes, cross-compares, and citations your PDFs and reports across a single thread.
Google NotebookLM
Google Gemini Notebook (formerly NotebookLM) delivers source-grounded AI research with cited answers and Audio Overview podcasts.
NotebookLM
Google's source-grounded research assistant that answers only from the files you upload and cites the passage behind each claim
Humata AI vs its closest rival
Humata AI's closest head-to-head is with Gimme Summary Ai — These two barely overlap in daily use: Gimme Summary AI is a lightweight Chrome button for skimming the web, while Humata AI is a citation-first workspace for interrogating PDFs. If your problem is 'I read too many articles,' pick Gimme Summary AI and save the money. If your problem is 'I must defend answers drawn from a stack of documents,' Humata's citations, OCR, and team permissions are the only side that actually solves it. Don't pay for Humata to summarize a news story, and don't expect Gimme Summary AI to cite page 47 of a contract. Verdict generated
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