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SPECIFICTION
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Humata vs PaperDraft

Humata

humata.ai

PaperDraft

paperdraft.org

Side by side

FigureHumataPaperDraft
Price from$49/mo£12.50/mo
Free planYesYes
Free trialYes—
Open source——
WebYesYes
APIYes—
Plans published43
Spec score · AI PDF Assistants8.0 (#11)7.9 (#14)
CitationsAnswers include citations linking to relevant sections in uploaded source files.PaperDraft searches Crossref and academic databases and can insert citations and build bibliographies in selected styles.
HeadquartersAustin, Texas, United StatesLondon, United Kingdom
ProductHumata lets users ask questions across files and receive answers based on their document contents with cited references.PaperDraft is an AI-powered academic workspace for researching, writing, citing, rewriting and managing research papers.
SupportHumata lists premium chat support on Expert and Team plans and gives [email protected] as a contact.The pricing page lists community support for Free, email support for Personal Plus and priority support for Personal Pro.

Plans

Humata

  • FreeFree
  • Team$49 a month
  • Expert$999 a month
  • EnterprisePriced on request

Humata pricing →

PaperDraft

  • FreeFree
  • Personal Plus£150 a year
  • Personal Pro£360 a year

PaperDraft pricing →

In their own words

Humata

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.

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PaperDraft

PaperDraft has no write-up on Specifiction yet; its figures are above.

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