A document-chat platform aimed at research-heavy students and small teams. Upload PDFs (and other formats), ask questions, get cited answers. SOC-2 compliant and SSO-capable on higher tiers.
System Verdict
Pick Humata if you need more than 2 PDFs per day at a lower price than ChatPDF Plus. The Student tier at $1.99/mo is the best-priced option in the category for light research. Expert at $9.99 roughly matches ChatPDF’s value but caps at 500 pages. Team tier at $49/user adds SSO, department-level folders, and OCR for scanned documents.
Skip it for casual single-doc use. ChatPDF free (2/day, 120-page cap) handles most one-off needs without paying. Also skip if you’re already paying for ChatGPT Plus, Claude Pro, or Gemini Advanced, all of which handle PDFs natively.
Who pays which tier: Student $1.99 for heavy academic PDF workflows. Expert $9.99 for solo professionals. Team $49/user for regulated small teams (legal, medical, finance) where SOC-2 + SSO matter.
Key Facts
| Free tier | 60 pages/month, 10 answers |
| Student plan | $1.99/mo, 200 pages |
| Expert plan | $9.99/mo, 500 pages, 3 users, premium chat support |
| Team plan | $49/user/mo, 5,000 pages, department folder permissions, OCR, 10 users |
| Enterprise | Custom pricing |
| Compliance | SOC-2 compliant; SHA-256 encryption; SSO on higher tiers |
| File types | PDF, DOCX, TXT, more |
| Additional pages | $0.02/page (Expert), $0.01/page (Team) |
When to pick Humata
- Student researchers. $1.99/mo is genuinely cheap for 200 pages of academic document analysis. Most competitor student tiers start at $5-$10.
- Small professional teams. Team at $49/user with 5,000 pages + folder permissions covers most legal or medical small-firm use cases.
- OCR for scanned PDFs. Team tier handles image-based PDFs that free tools often fumble.
- SSO + SOC-2 requirements. Required for regulated use. Humata ships these without bumping to enterprise pricing immediately.
When to pick something else
- Free, occasional use: ChatPDF free tier (2 PDFs/day).
- Multi-document research: NotebookLM (free, Gemini-powered, handles 50 sources per notebook).
- Self-hosted / privacy-first: AnythingLLM (open source, MIT license).
- Already paying for ChatGPT/Claude/Gemini: Use native PDF upload. No need for a second subscription.
Pricing
| Plan | Price | Pages / Features |
|---|---|---|
| Free | $0 | 60 pages/month, 10 answers |
| Student | $1.99/mo | 200 pages |
| Expert | $9.99/mo | 500 pages, 3 users, $0.02/page overage |
| Team | $49/user/mo | 5,000 pages, 10 users, OCR, folder permissions, $0.01/page overage |
| Enterprise | Custom | Unlimited + advanced security |
Prices verified 2026-04-18 via humata.ai/pricing.
Best plan recommendation
Use Free only for a few papers or one small project. Student is the obvious first paid plan for academic users because the price is low and the page allowance fits regular reading without jumping to a professional subscription. Expert is the better solo-professional tier when the workflow involves client files, research packets, or recurring PDF review. Team is the first plan to consider for shared folders, SSO, OCR, and departmental document workflows.
Before paying, upload the actual documents you care about: scanned PDFs, tables, long contracts, academic papers, and mixed-format files. The value depends less on the chat interface and more on whether citations point to the right pages, OCR works on your scans, and the plan limit matches your monthly page volume.
Failure modes
- Page cap is enforced strictly. Upload 10 PDFs averaging 60 pages = 600 pages, which blows through Expert tier fast. Monitor usage.
- Citation quality varies. Works well for factual questions against well-structured documents. Struggles on inferential questions requiring cross-document synthesis.
- No multi-document chat on lower tiers. Folder-level access is a Team-tier feature.
- Mobile experience is limited. Web-first product; PWA exists but lacks some features.
- Figure and chart interpretation is weak. Like most RAG-based tools, charts and diagrams inside PDFs often get skipped.
Against the alternatives
| Humata | ChatPDF | NotebookLM | AnythingLLM | |
|---|---|---|---|---|
| Free tier | 60 pages/mo | 2 PDFs/day | Unlimited (50 sources/notebook) | Self-hosted |
| Starting paid | $1.99 (Student) | $19.99/mo | Gemini Advanced $19.99 | $0 self-host or $25 cloud |
| Team features | SOC-2 + SSO | Custom | No team tier | Multi-user native |
| OCR | Team tier | Yes | Yes (Gemini) | Depends on vector DB |
| Best for | Student + small team | Quick single-doc | Multi-source research | Self-hosted enterprise |
Methodology
Produced by the aipedia.wiki editorial pipeline. Last verified 2026-04-18 against humata.ai/pricing and PaperGuide 2026 PDF AI roundup.
FAQ
Is Humata really cheaper than ChatPDF? For Student-tier volume (200 pages/month), yes, by ~$18/month. For unlimited use at Expert tier ($9.99), roughly even. For very high volume, Team or Enterprise pricing applies.
Does Humata support OCR? Yes, on the Team tier. Useful for scanned contracts, historical documents, or image-based PDFs.
How accurate is Humata for legal documents? Decent for direct factual questions with citation verification. Always review cited pages. Not a substitute for attorney judgment on material questions.
Is the free tier usable for a term paper? Yes, if your source material fits within 60 pages/month. One textbook chapter, a few papers, done. Heavy reading requires Student tier ($1.99).
Related
- Category: AI Research
- See also: ChatPDF · NotebookLM · AnythingLLM
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According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/humata/) aipedia.wiki Editorial. (2026). Humata — Editorial Review. aipedia.wiki. Retrieved May 8, 2026, from https://aipedia.wiki/tools/humata/ aipedia.wiki Editorial. "Humata — Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/humata/. Accessed May 8, 2026. aipedia.wiki Editorial. 2026. "Humata — Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/humata/. @misc{humata-editorial-review-2026,
author = {{aipedia.wiki Editorial}},
title = {Humata — Editorial Review},
year = {2026},
publisher = {aipedia.wiki},
url = {https://aipedia.wiki/tools/humata/},
note = {Accessed: 2026-05-08}
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