ChatPDF vs Humata

ChatPDF lets users summarize documents and ask questions about their contents using conversational AI. Answers include citations that point to references in a PDF, and users can organize files in folders or discuss multiple PDFs in one conversation. It accepts PDFs in any language and supports conversations in any language; listed file types also include Word, PowerPoint, Markdown and text. Sharing links can be created, with access permissions managed or revoked. ChatPDF says documents are encrypted during transfer and storage and can be deleted by the user. Queries are routed dynamically between GPT-4o and GPT-4o-mini. The service works in a browser on any device and is listed for Android, iOS, Linux, macOS and Windows. Its backend API accepts uploaded PDFs or public URLs and lets users query them to build custom PDF chatbots. The API documentation limits each PDF to 2,000 pages or 32 MB and describes the chat API as stateless. The Free plan costs nothing and allows two documents per day.

Humata is a document question-and-answer service for finding information across uploaded files. Ask questions about document contents, search for answers, summarize findings, or compare documents; responses include citations that link to relevant sections in source files. Users can also embed Humata’s PDF AI in a webpage, while its API provides programmatic access to documents, conversations, and answers. The product is available on the web and through an API, with file uploads supported. The Free plan costs nothing and includes one user and up to 60 pages of monthly use. Expert costs $999 a month for three users and 500 pages, with $0.02 per additional page. Team costs $49 a month per user for 10 users and 5,000 pages, with $0.01 per additional page. Humata supports SAML 2.0 sign-on and states that it encrypts customer data at rest and in transit, is SOC 2 Type II compliant, and does not use user-provided data to train its models.