Direct answer
What is Humata?
Humata is an AI document assistant that analyzes technical papers, reports, and contracts to generate answers and summaries backed by direct citations to the source file.
Humata functions as a conversational assistant specifically engineered for document workflows. Developed by Tilda Technologies Inc. and backed by Google's Gradient Ventures, the platform allows users to upload files and ask natural-language questions across their documentation library. Rather than relying on ungrounded generative responses, the service links every generated answer to specific citations within uploaded documents. This allows users to jump directly to referenced sections to verify statements in complex research papers, compliance manuals, and financial reports. In addition to answering questions, it can summarize lengthy findings, compare multiple documents, and rewrite summaries to match specific length requirements. For collaborative environments, the application includes enterprise-focused access controls. On higher tiers, teams can organize files into department- and folder-level permissions, extract text from scanned documents using built-in OCR, and manage authentication through SAML 2.0 single sign-on. Users can also embed the document AI directly into external webpages to surface answers from internal knowledge bases. Data security is governed by SOC 2 Type II compliance. The vendor states that customer documents are not used to train AI models, document data processed by models is not retained beyond 30 days, and files are encrypted both at rest using 256-bit encryption and in flight via TLS 1.3.
Unlike generic conversational models, Humata grounds its answers in user-uploaded files with verifiable citation links that point directly back to source passages.
Product capabilities
Key features
Document-Grounded Q&A with Citations
Answers natural-language inquiries by referencing uploaded files, generating source links to specific passages so users can independently verify findings.
Multi-Document Synthesis and Summarization
Analyzes multiple uploaded documents at once to summarize long technical papers, extract key themes, and execute document comparisons.
Optical Character Recognition (OCR)
Extracts text from scanned files and image-based PDFs on Team and Enterprise plans to enable search and questioning on non-digital documents.
Webpage Embedding
Allows administrators to embed the document question-answering assistant into public or internal webpages with an interactive widget.
Role and Folder Access Controls
Enables administrators to segregate internal knowledge with folder-level and department-level access permissions across multi-user teams.
Enterprise Security and Privacy Controls
Maintains SOC 2 Type II compliance, AES-256 encryption at rest, TLS 1.3 in transit, and SAML 2.0 single sign-on integration.
Workflow
How Humata works
- Upload one or more PDF documents or scanned files to your Humata workspace.
- Enter natural-language questions, comparison queries, or summarization prompts in the chat interface.
- Humata processes the document content and delivers grounded responses accompanied by citations.
- Click the embedded citation links to review and verify the exact passages inside the source PDF.
Practical fit
Who should use Humata?
Academic Literature Reviews
Extract arguments, data points, and methodology summaries across dozens of scientific papers without reading every page manually.
Contract and Compliance Due Diligence
Review dense policy documents, vendor agreements, and audit materials while auditing specific clauses using cited source passages.
Customer-Facing Documentation Chat
Embed the PDF AI directly into a company website so visitors can search product documentation, user manuals, and technical specifications.
Team Knowledge Base Retrieval
Share private folders among authorized team members to query internal policies, training documents, and strategy decks securely.
Editorial assessment
Pros and limitations
Where it is strong
- Every answer includes direct citation links back to source material in the document
- Strong security profile including SOC 2 Type II compliance and zero data training on user files
- Built-in OCR capabilities for scanned text and images on upper-tier plans
- Generous multi-user seat allowances included on paid plans (up to 3 users on Expert, 10 on Team)
- Document data used for model processing is not retained past 30 days
Where to be careful
- Free plan is limited to 60 total pages and 10 question answers
- Pay-as-you-go per-page overage charges apply once the monthly plan page allotment is exhausted
- OCR and department-level permissions require the higher-priced Team or Enterprise tiers
Commercial context
Humata pricing
At the review date in September 2026, Humata provides a free tier covering 60 pages and 10 answers. Paid plans begin at $9.99 per month for Expert (500 pages, $0.02 per additional page) and $49 per user per month for Team (5,000 pages, $0.01 per additional page). Verify current rates on the official pricing page.
| Plan | Price | What it includes |
|---|---|---|
| Free | $0 / forever free tier, no credit card required, up to 60 pages and 10 answers with single-user access. | |
| Expert | $9.99 / per month. Includes 3 users, 500 monthly pages, $0.02 per additional page, and premium chat support. | |
| Team | $49 / per user per month. Includes 10 users, 5,000 monthly pages, $0.01 per additional page, OCR, department/folder permissions, and response personalization. | |
| Enterprise | Custom / custom billing per user per month with unlimited users, custom page quotas, SOC 2 certification reports, and uptime SLA. |
Pricing, limits, taxes, model access, and regional availability can change. Verify the purchase-critical details on the official pricing page linked under Sources.
Transparent ranking
Why Humata scores 72
Each factor is scored on a 100-point scale, then combined using the public ToolsRank weights. Engagement and momentum stay at a neutral baseline until measured signals exist, so no tool can gain or lose position from numbers nobody recorded.
Compatibility
Languages, platforms, and integrations
Languages
- English
Platforms
- Web
- Cloud
Integrations & surfaces
- Okta
- Google Workspace
- Stripe
Community
Reviews and questions
No approved member reviews yet. Editorial factors above are the only rating on this page.
Reviews and questions come from Google-signed members and are checked by an editor before they appear.
Frequently asked
Humata FAQ
How does Humata differ from general chatbots like ChatGPT?+
Unlike general chatbots that rely on broad training datasets, Humata is designed specifically around uploaded documents. It scans user files to generate answers based directly on their text, providing interactive citations that point to the exact page and section from which an insight was drawn.
Does Humata use customer data or files to train AI models?+
No. Humata explicitly states that it does not use user files or prompts to train AI models. All data is handled confidentially, with document data processed by model endpoints retained for no longer than 30 days.
What is the difference between free pages and paid pages?+
Each subscription comes with a monthly allowance of free pages (for example, 60 on the Free tier, 500 on Expert, and 5,000 on Team). If you upload documents exceeding that quota, pay-as-you-go rates apply at $0.02 per additional page on Expert or $0.01 per additional page on Team.
What security compliance and encryption standards are supported?+
Humata is SOC 2 Type II compliant. The platform safeguards data using AES-256 encryption at rest, TLS 1.3 encryption in transit, application-level credential encryption, and support for SAML 2.0 single sign-on identity providers.
Can I embed Humata onto my own website?+
Yes. Humata includes a feature allowing users to embed the PDF assistant into any webpage so external clients or teammates can interact directly with uploaded documentation.
