Humata vs PDFtoChat

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.

PDFtoChat lets users upload PDFs and ask questions about papers, textbooks, and contracts. The workflow requires a free account, followed by document upload for AI analysis and conversation about its contents. The Free plan costs nothing, and access is listed for the web and self-hosted deployments. Its homepage says the source code is available on GitHub for reading, review, or contribution. The repository describes a Next.js application using Mixtral through Together AI, LangChain.js, and Chroma Cloud. Chroma Cloud supplies hybrid dense and sparse vector search with Qwen and SPLADE embeddings. Bytescale stores PDFs, Clerk handles authentication, and Vercel hosts the application and Postgres database; Neon is an alternative database for self-deployment. The template can be deployed to Vercel or another host after configuring service credentials. Scanned PDFs are not supported.