Humata

What is Humata?

Humata is an AI document research application from Tilda Technologies Inc. Its main purpose is to make long or complex documents easier to question and analyze. Users upload files, allow Humata to process them, and then interact with the resulting document collection through a conversational interface.

The product is most useful when the answer should come from a specific set of source materials. Instead of responding primarily from general web knowledge, Humata grounds its answers in uploaded documents and provides citations or page references that help users check the underlying material.

How Humata is used

A typical workflow starts with uploading one or more PDFs or other files. Users can then ask for a fact, clause, explanation, summary, or comparison. Humata returns a text response with references to relevant document pages or sections. This makes it practical for locating information in research papers, contracts, policies, manuals, technical reports, and internal knowledge collections.

Humata also supports website import, allowing users to bring website content into a document-style knowledge source for questioning. Its API can be used for programmatic document imports, conversations, and questions, while embeddable document chat lets organizations place a Humata-powered experience on a website. White-label embedding is available for enterprise use.

Core capabilities

• Document question answering: Ask questions about one file or a collection of files and receive answers grounded in their content.
• Summarization: Create shorter explanations of lengthy papers, reports, contracts, policies, and technical documents.
• Document comparison: Examine multiple files to identify differences, similarities, and relevant information.
• Citations and page references: Follow highlighted source references to check where an answer came from.
• Website ingestion: Import website material and use it as a source for document-style analysis.
• Shared document access: Team plans and enterprise controls support permissions for shared files, folders, and roles.

Who is Humata for?

Humata is a good fit for researchers, students, analysts, educators, legal and compliance teams, and businesses that regularly work with collections of documents. A researcher might use it to locate findings across several papers. A legal or operations team might search policies and contracts for specific clauses. A technical team could question manuals or internal documentation without repeatedly scanning every file by hand.

It can also complement more general research tools. Unlike an AI search product such as Perplexity, Humata is centered on documents the user provides rather than broad web discovery. It is closer to a source-grounded document workspace, with a narrower purpose than general assistants such as Claude or ChatGPT.

Pricing and access

Humata has a continuing free plan with up to 60 free pages of use. The first paid tier is Expert at $9.99 per month, including 500 free pages per month and additional-page charges. The Team plan costs $49 per user per month and includes 5,000 free pages per month. Research indicates that additional pages are billed at $0.02 per page on Expert and $0.01 per page on Team. Enterprise pricing is custom.

The page allowances are important because Humata's pricing is tied to document usage rather than being an unlimited subscription. Users who regularly analyze large files or large document collections should assess expected monthly page volume and possible overage costs. The product is available through a browser, with an API and website embedding also available. No native mobile or desktop application was verified.

API, teams, and enterprise workflows

Humata's API supports programmatic document imports, conversations, and questions. The API documentation exposes model parameters for requests, including documented selectable model values such as GPT-4o, GPT-4.1-mini, GPT-5 mini, and GPT-4 Turbo Preview. The consumer-facing application does not disclose all of its backend model routing or necessarily provide the same controls.

For organizations, Humata provides team collaboration, folder and role-based access controls, SAML 2.0 single sign-on, and enterprise options. The product can also be embedded into a website, which is relevant for organizations that want visitors or customers to question a defined document collection. Public research did not establish a broad third-party integration marketplace or confirmed webhook support.

Privacy and document handling

Humata states that it encrypts customer data at rest and in transit, does not use user-provided data to train its AI models, and allows customers to delete their data. It also states that document data used for its model is not retained beyond 30 days, while information in the dashboard remains accessible until deletion is requested. The exact treatment can vary by data type, plan, or agreement.

The company identifies AWS, Google Cloud Platform, and Supabase among its infrastructure providers and states that Humata is SOC 2 Type II compliant. SAML single sign-on, least-privilege procedures, and role or folder-level access controls are documented for relevant organizational use. Even so, users handling confidential legal, medical, financial, or regulated information should review the current privacy policy and contractual terms before uploading files to the service.

Strengths and limitations

Humata's main strength is its focused document workflow. It combines natural-language questions, multi-document conversations, summaries, comparisons, and source references in one interface. The citations are particularly useful when an answer needs to be checked against a page or passage rather than accepted as an unsupported generated response.

Its limitations follow from the same specialization. Humata is not a general web search engine, autonomous computer agent, image or video tool, coding environment, or broad workflow automation platform. Usage allowances and paid page overages may matter to heavy users. Cloud upload requirements may also rule it out for documents that cannot be processed by an external service. Although API access and enterprise controls are available, a broad ecosystem of third-party integrations was not verified.

Is Humata a good fit?

Humata is a sensible choice when the primary task is extracting, checking, or comparing information across PDFs and other document sources. It is especially appropriate when traceable citations are more important than open-ended conversation. Users whose main need is academic literature discovery may also evaluate specialized tools such as Elicit, Consensus, or Scite, depending on whether they need evidence synthesis, research search, or citation analysis.

For general-purpose writing, coding, or current web research, a broader assistant or search product may be more suitable. For document-heavy work where the source files are available and can be uploaded, Humata offers a more direct way to ask questions, summarize content, compare documents, and inspect the cited material behind an answer.