Humata

Humata is an AI-powered document and knowledge assistant designed to help individuals and organizations read, analyze, summarize, compare, and extract information from large collections of files. Its core experience is built around interacting with documents conversationally: users upload files, ask questions about their contents, and receive answers supported by highlighted citations that point back to the relevant portions of the source material. The platform describes itself as “AI for all your files” and is aimed at people who need to work through lengthy technical papers, reports, legal documents, research material, and other information-heavy files more quickly.

Humata’s primary feature is its document question-answering system. Users can upload one or more documents and ask questions in natural language instead of manually searching through every page. Humata analyzes the uploaded content and provides answers based on the files, with citations that allow users to trace an answer back to its supporting source. This source-linked approach is especially valuable for research and professional work where users need to verify where information came from rather than relying on an unsupported AI response.

The service is particularly well suited to PDF-based workflows. Humata’s public materials describe its ability to work with long technical papers, research publications, and other complex documents. Users can ask questions across multiple files, allowing information from several documents to be considered together. This is useful for literature reviews, due diligence, policy analysis, legal-document review, technical research, and any other situation where important information is distributed across multiple files.

Humata also supports summarization and rewriting. Users can ask the AI to produce a shorter summary of a document or request revisions to an existing summary. The company describes the system as capable of helping users move quickly through long documents while preserving access to the underlying source material. This makes it useful for people who need a quick overview before deciding which sections of a document deserve more detailed reading.

Another important capability is cross-document analysis. Humata can answer questions across multiple uploaded files, which means users are not restricted to analyzing one document at a time. This can be useful when comparing research papers, reviewing multiple contracts or reports, consolidating project documentation, or looking for information distributed across a large collection of company files. The company’s funding announcement specifically described Humata as enabling users to extract insights and answers from a single or multiple PDFs simultaneously.

The platform also emphasizes cited answers. Humata’s homepage states that answers include highlighted links into source files so users can trace insights back to the documents. This is an important distinction from general-purpose AI systems where generated statements may not have an immediately visible source. Citations do not eliminate the possibility of AI errors, but they provide a practical mechanism for checking an answer against the original file.

Humata has evolved beyond simple PDF chat into a broader knowledge-base platform. Its current messaging emphasizes allowing teams to ask questions across their files and uncover information that might otherwise remain buried in old documents. This positioning is relevant to organizations that maintain large documentation archives and need faster ways to retrieve institutional knowledge.

A key feature for organizations is the ability to embed Humata’s PDF AI into webpages. The current website states that users can include the PDF AI on a webpage with a single click, enabling customers or other visitors to ask questions about information contained in documents. This can support public-facing knowledge resources, customer help, documentation portals, and other document-driven experiences.

Humata also supports private team data rooms and role-based access controls. The company describes shared team files, user-access controls, and role-based permissions designed to limit who can see or modify particular documents. These capabilities are intended for organizations where sensitive documents need to remain accessible only to authorized team members.

Security is a major part of Humata’s enterprise positioning. The company says uploaded files are protected using 256-bit SHA encryption, and its Team and Enterprise offerings add stronger access controls and organizational security features. The current pricing page also lists department-level and folder-level permissions on the Team plan, while Enterprise includes additional security capabilities and a SOC-2 certificate.

Humata includes OCR on its Team plan and above. This is particularly useful for scanned documents and files where the text is contained inside images rather than ordinary selectable text. OCR allows the system to recognize text from those scanned materials so that users can search and ask questions about them. This expands Humata’s usefulness beyond digitally generated PDFs to document archives that may contain scanned pages.

The platform also offers response personalization on the Team tier. This allows organizations to customize how Humata responds to document questions, giving teams additional control over the way information is presented. Combined with role permissions and shared files, this makes the product more suitable for organizational knowledge-management workflows than a consumer-only PDF chatbot.

Humata has meaningful applications in legal work. Its legal product page describes workflows for case management, litigation timelines, medical chronologies, asset and liability overviews, witness lists, and other document-heavy legal tasks. The company says more than 4,000 law firms use Humata, positioning the product as a way to accelerate legal document analysis and information retrieval.

The platform is also used for research and education. Humata’s homepage features an academic user from UC Irvine describing how students can use the platform in classroom projects, while another testimonial from a postdoctoral researcher describes using Humata to make reading research papers easier and faster. The service can therefore support literature review, document comprehension, academic research, and teaching workflows.

In business environments, Humata can be used for technical reports, internal documentation, research archives, reporting, and decision support. Its company page explains that teams use the platform to uncover useful information buried in old documents and speed up reporting. This positions Humata as a knowledge-retrieval system rather than simply a PDF summarizer.

Humata’s current website says the platform has helped teams across a range of organizations, from startups to public companies. It is designed for people who need to read quickly and obtain answers from large amounts of document-based information. This enterprise orientation is reflected in its Team and Enterprise plans, which add security controls, permissions, support, and administration features.

Humata was founded in 2022, with the service publicly launching in February 2023. The company was founded by Cyrus Khajvandi and Dan Rasmuson and is based in Austin, Texas. In October 2023, Humata announced a $3.5 million seed round led by Google’s Gradient Ventures, with participation from ARK Invest and M13. At that time, the company described its platform as a way to ask AI-powered questions across files and obtain answers with highlighted references.

Humata’s current pricing uses a freemium, usage-based subscription model. The Free plan costs $0 and provides 60 free pages per month along with up to 10 answers. The Expert plan costs $9.99/month and provides 500 free pages, three users, and additional pages at $0.02 each. The Team plan costs $49 per user per month and includes 5,000 free pages, 10 users, additional pages at $0.01 each, department and folder permissions, OCR, and response personalization. Enterprise pricing is custom.

The pricing page also explains that Humata’s billing operates monthly and that certain plans use pay-as-you-go page pricing after the included monthly allowance has been consumed. This page-based structure means the cost of heavy document use can increase beyond the advertised subscription price, so organizations with large document-processing workloads should consider the included page allowance and overage rate when comparing Humata with alternatives.

Humata describes its Free offering as a complimentary way to explore the platform and specifically states that no credit card is required to get started. The company refers to this as a free trial in its FAQ, but its pricing structure is more accurately represented as a permanent Free plan rather than a separate time-limited trial.

Independent review coverage is limited but positive. Capterra currently gives Humata 5.0/5 based on one review. The verified reviewer, a founder in marketing and advertising, gave full marks for overall experience, ease of use, features, and customer service. The reviewer specifically praised the platform for saving substantial time when summarizing large documents, websites, and YouTube podcasts, and highlighted its cited answers. The reviewer noted that videos without transcripts could not be analyzed in the same way. Because there is only one verified review, this rating should be treated as a limited signal rather than a broad measure of customer sentiment.

G2 currently lists 0 reviews for Humata AI, indicating that there is not enough G2 data for a meaningful product rating. This lack of review volume is important when comparing Humata against more established software categories because the available independent evidence is still relatively small.

Humata is best suited to researchers, students, legal professionals, technical teams, analysts, consultants, and organizations with large document collections. Its strongest differentiators are document-based question answering, cited responses, cross-file analysis, OCR, web embedding, knowledge retrieval, and organizational security. It is less suited to users looking primarily for general-purpose copywriting, advanced academic citation management, or broad creative-content generation.

Pricing

• Free: $0/month — up to 60 free pages per month and up to 10 answers.
• Expert: $9.99/month — up to 500 free pages, 3 users, and $0.02 per additional page.
• Team: $49/user/month — up to 5,000 free pages, 10 users, and $0.01 per additional page.
• Enterprise: Custom pricing with personalized service and enterprise security.

Review

Humata has 5.0/5 from 1 verified Capterra review. The reviewer praised its ease of use, features, speed, and ability to summarize documents and other content quickly. The main limitation mentioned was the inability to chat with YouTube videos that lack transcripts.

G2 currently shows 0 reviews for Humata AI, so there is insufficient G2 data for a reliable product rating.