DeinPDF vs Humata

DeinPDF is a browser-based assistant for asking questions about contracts, invoices, letters, and technical documents. Users can upload PDFs and images, including scanned pages, then ask questions across one or several documents in a temporary chat with page references. The service can summarize long documents and translate them into more than 16 languages. Suggested actions can help surface legal risks, deadlines, payment terms, action items, and obligations, or explain documents in simpler language. In instant mode, the file, index, and chat are erased after the conversation, with confirmation. The maker says documents are stored in Germany and AI processing takes place in the EU, with no transfer to third countries; it also says user documents and inputs are not used to train models. Security features listed include two-factor authentication, SSL/TLS encryption, and tenant isolation. DeinPDF works in a browser and can be added to an iPhone or Android home screen without an app store. There is no monthly base fee or forced subscription. Usage-based charges apply, with €0.50 starting credit and top-ups from €10. The terms warn that AI output may be incorrect or misleading and does not replace professional advice.

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.