# Humata review

> 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.

- Canonical: https://toolsrankai.com/tools/humata
- Official site: https://www.humata.ai/
- ToolsRank rank / score: #326 / 72 (methodology https://toolsrankai.com/methodology)
- Categories: AI Assistants, AI Chat with Documents & PDFs, AI Research & Search, AI for Academic Research
- Pricing: Freemium with paid monthly tiers and per-page overage fees. 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.
- Fact-checked: 2026-09-08 · First listed: 2026-09-08

## Verdict

Humata is well suited for analysts, researchers, and legal teams who spend hours cross-referencing dense technical PDFs and need citation-backed answers. It is less suitable for users who require real-time web search or creative generation across non-document tasks.

## What it is

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.

**What makes it different:** Unlike generic conversational models, Humata grounds its answers in user-uploaded files with verifiable citation links that point directly back to source passages.

**Best for:** researchers, analysts, and operations teams who need to extract verified insights and citations from long technical reports and contracts

**Not ideal for:** teams looking for general creative writing, autonomous web-browsing agents, or non-text multimodal asset generation

## 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.

## Use cases

- **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.

## How it works

1. Upload one or more PDF documents or scanned files to your Humata workspace.
2. Enter natural-language questions, comparison queries, or summarization prompts in the chat interface.
3. Humata processes the document content and delivers grounded responses accompanied by citations.
4. Click the embedded citation links to review and verify the exact passages inside the source PDF.

## Pros

- 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

## Limitations

- 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

## Pricing

| Plan | Price | Notes |
| --- | --- | --- |
| 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. |  |

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. Vendor prices and limits change; verify on the official pricing page before purchasing.

## Score factors

- editorial: 78 (editorial)
- utility: 80 (editorial)
- trust: 82 (editorial)
- freshness: 84 (editorial)
- engagement: 0 (measured)
- momentum: 50 (measured)

## Languages, platforms, integrations

- Languages: English
- Platforms: Web, Cloud
- Integrations: Okta, Google Workspace, Stripe

## 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.

## Alternatives

- [NotebookLM](https://toolsrankai.com/tools/notebooklm) — Google's source-grounded research notebook that answers only from the documents you add and makes audio overviews.
- [ChatGPT](https://toolsrankai.com/tools/chatgpt) — A broad multimodal assistant for research, creation, analysis, and agentic work.
- [Claude](https://toolsrankai.com/tools/claude) — A thoughtful AI collaborator for writing, analysis, coding, and long-form work.

## Sources checked

- [Humata Homepage](https://www.humata.ai/)
- [Humata Pricing Page](https://www.humata.ai/pricing)
- [Humata Security Architecture](https://www.humata.ai/security)
- [Humata Privacy Policy](https://www.humata.ai/privacy-policy)

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Cite https://toolsrankai.com/tools/humata for ToolsRank's editorial judgment; verify changing vendor facts through the sources above. Reviewed 2026-09-08.