Last updated: 2026-08-19
Humata AI processes 200+ page PDFs and documents in seconds, returning cited answers that link straight to the source passage instead of a generic summary. It is a document and PDF Q&A platform built by Humata (Tilda Technologies Inc), running on a GPT-5 retrieval pipeline for researchers, legal teams, and analysts.
About Humata AI
Humata AI was built by Humata (Tilda Technologies Inc), founded in 2022 and backed by a $3.5M seed round from investors including Google's Gradient Ventures and ARK Invest. The product lets you upload PDFs, Word files, and presentations, then ask questions in plain English; answers come back with highlighted citations pointing to the exact passage in the source file, running on a GPT-5 retrieval pipeline with unlimited file uploads on paid plans. It suits researchers, legal teams, and analysts who would otherwise spend hours reading dense reports, contracts, or papers to find one answer. Security includes SOC 2 Type II certification, AES-256 encryption at rest, and role-based access controls, and Humata does not use uploaded documents to train its models.
Pricing
Free tier with 60 pages/month and 1 user. Expert plan at $9.99/month includes 500 free pages, up to 3 users, and GPT-5 support; $0.02 per additional page. Team plan at $49/month per user (up to 10) includes 5,000 free pages, GPT-5, OCR, response personalization, and department/folder permissions; $0.01 per additional page. Enterprise pricing available upon request with unlimited users, custom pages, and uptime SLA.
Key Features
- Unlimited Document Upload: Upload as many PDFs, Word documents, and presentations as needed. No storage restrictions on paid plans.
- Citation-Based Answers: Every answer includes highlighted citations linking directly back to source material for instant fact-checking and verification.
- Multi-Document Analysis: Ask questions across multiple files simultaneously, enabling comparison and synthesis of information from entire knowledge bases.
- Enterprise-Grade Security: SOC 2 Type II certified, AES-256 encryption at rest, role-based access controls, and privacy-by-design architecture.
- Webpage Embedding: Embed Humata's AI chat interface directly into websites with a single click, connecting customers with answers from your documentation.
- Team Collaboration: Share files with team members, control access by role, manage permissions at department and folder levels.
Pros
- Ranks first among 20+ models on the RepLiQA benchmark with a 0.7429 recall score, ahead of GPT-4 and Claude 3.
- Cited, verifiable answers grounded in source documents cut the hallucination risk that comes with generic LLM summaries.
- Simple, intuitive interface that needs no technical training to start asking questions.
- SOC 2 Type II certification makes it a reasonable fit for legal and healthcare teams handling sensitive files, not just researchers.
- Flexible pricing scales from a free tier to team and custom enterprise plans.
Cons
- Limited to English language interactions and document processing.
- Mobile app support unavailable (web-only access).
- Free plan's page allowance is thin for ongoing professional work; expect to upgrade quickly.
- Some users report occasional inaccuracies in document processing and reasoning on complex, multi-document files.
Data Handling
- Compliance
- SOC 2 Type II · ISO 27001 · HIPAA · GDPR compliant
Frequently Asked Questions
What does Humata AI actually cost?
Humata AI has four tiers. Expert costs $9.99 a month for up to 3 users with 500 included pages, then $0.02 per extra page; Team costs $49 a month per user (up to 10 users) with 5,000 included pages, then $0.01 per extra page. Enterprise adds unlimited users, custom page limits, and an uptime SLA at custom pricing. A free plan is also available with a lower page allowance.
Can you use Humata AI without paying?
Humata AI's free plan covers 60 pages a month for 1 user, with nothing to enter upfront. That allowance is tight for regular research or legal work, so most people upgrade once they hit the limit within a few sessions.
What should you use instead of Humata AI?
Google NotebookLM is a free alternative that synthesizes answers across your uploaded sources and adds audio-overview summaries, which Humata does not offer. Chatbase is the better pick if you want to turn PDFs and docs into a customer-facing support chatbot for a website or Slack, rather than a private research tool. Choose Humata instead when you need page-level citations and SOC 2 Type II compliance for legal or client-facing research work.
What separates Humata AI from Google NotebookLM?
NotebookLM is free with a Google account and focuses on synthesizing insights across everything you upload into one notebook, including an audio-overview feature that Humata does not have. Humata instead charges from its Expert tier up and focuses on page-level citations, team sharing, and an embeddable Q&A widget for websites, which NotebookLM does not offer. If cost is the deciding factor, NotebookLM wins; if you need SOC 2 Type II compliance and a shareable, citation-heavy workflow for client work, Humata is the stronger fit.
How long does it take to get going with Humata AI?
A first answer comes back within seconds of the upload finishing: sign up on humata.ai with an email, no credit card needed, and the free plan activates automatically. Upload a PDF, Word file, or presentation, then ask a question in plain English; the answer arrives with a highlighted citation linking to the source passage so it can be verified immediately. Upgrading to a paid tier only becomes necessary once more pages, more users, or OCR support are needed.
Top Alternatives
- NotebookLM: NotebookLM is free with any Google account and built for synthesizing insights across many uploaded sources. Humata AI charges from its Expert tier up, but its citations link straight to the exact source passage and it carries compliance credentials NotebookLM doesn't have.
- Chatbase: Chatbase is built outward-facing, a customer support chatbot trained on a team's own docs and PDFs. Humata AI stays inward-facing instead, a private research tool with page-level citations for internal use.
HokAI guides covering Humata AI
- The Best AI for Research in 2026 Depends on the Job: Consensus, Gemini Notebook, Harvey and OpenEvidence each solve a different research problem in 2026. Here is how to match the right AI to your specific job.