ChatDOC vs Humata

ChatDOC is a web document assistant that lets you converse with uploaded files in natural language. It can summarize, extract, locate, analyze, and rewrite content from PDFs, Word files, Markdown, ePub, TXT, and scanned documents. A folder upload supports questions spanning multiple documents. Responses include page and reference citations, links that highlight source passages, and highlighted numerical values for checking answers. ChatDOC provides an API for embedding document processing and generated responses in other applications. Its PDF Parser API recognizes text, tables, and images and converts PDF material into formats such as JSON. Processing requires an internet connection. The service runs on the web, through a browser extension, and via API. A free plan is available; Pro costs $8.99 a month or $89.90 a year, with larger limits.

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.