docAnalyzer vs Humata

docAnalyzer is a source-grounded AI workspace for analyzing documents and producing deliverables. Ask docAnalyzer handles requests across a workspace, Focus chat works with selected sources, and Co-work chat supports editing notes. Cited claims can link to a page, section, or spreadsheet cell in the source viewer. Batch workflows cover data extraction, per-document questions and summaries, reference audits, rewrites, and SEO metadata. It can OCR scanned pages in more than 40 languages and generate downloadable PDFs, spreadsheets, charts, diagrams, and ZIPs. Inputs include PDFs, office documents, EPUB, spreadsheets, text, HTML, and web pages; standalone image, audio, and video uploads are unsupported. Paid plans can import selected Zotero or Mendeley references, but Google Drive and OneDrive connectors are unavailable. The API is available on paid plans. The free Community plan includes monthly credits and upload limits, without API access. Paid plans start at $8 a month.

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.