PDFtoChat
pdftochat.com
What it is
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.
Spec sheet
- What it does
- PDFtoChat lets users upload a PDF and ask questions about its contents.Read 7 Oct 2026 · pdftochat.com
- Purpose
- PDFtoChat lets users ask questions about uploaded papers, textbooks and contracts.Read 7 Oct 2026 · pdftochat.com
- Support
- The opened product pages do not specify a customer support channel or service level.Read 7 Oct 2026 · pdftochat.com
- AI providers
- The homepage says PDFtoChat is powered by Together.ai and Mixtral.Read 7 Oct 2026 · pdftochat.com
- Application stack
- The repository lists Next.js and LangChain.js among the technologies used by the project.Read 7 Oct 2026 · github.com
- Authentication
- The repository README lists Clerk for user authentication.Read 7 Oct 2026 · github.com
- Document retrieval
- The repository says Chroma Cloud provides hybrid dense and sparse vector search using Qwen and SPLADE.Read 7 Oct 2026 · github.com
- Free access
- The homepage says users can chat with PDFs for free and create a free account.Read 7 Oct 2026 · pdftochat.com
- Hosting and database
- The repository README lists Vercel for hosting and Postgres, with Neon as an alternative database option for self-deployment.Read 7 Oct 2026 · github.com
- Implementation limit
- The README lists support for images in PDFs as a future task.Read 7 Oct 2026 · github.com
- Language model
- The repository says Mixtral inference through Together AI powers the language model.Read 7 Oct 2026 · github.com
- Notable limitations
- The repository lists adding PDF deletion, protecting chat API routes, and support for images in PDFs as future tasks.Read 7 Oct 2026 · github.com
- Open source
- The homepage says the source code is available on GitHub to read, review or contribute to.Read 7 Oct 2026 · pdftochat.com
- PDF storage
- The repository README lists Bytescale for PDF storage.Read 7 Oct 2026 · github.com
- Privacy and security
- The opened homepage and repository pages do not state a privacy policy, security certification, or compliance claim.Read 7 Oct 2026 · pdftochat.com
- Project stack
- The maker’s repository README describes a Next.js app using Mixtral through Together AI, Chroma Cloud, LangChain.js, Bytescale, Vercel and Clerk.Read 7 Oct 2026 · github.com
- Security caveat
- The README lists protecting API routes by checking that users are signed in as a future task.Read 7 Oct 2026 · github.com
- Self deployment
- The repository README says the template can be deployed to Vercel or another host and requires configuring its listed service credentials.Read 7 Oct 2026 · github.com
- Self hosting
- The repository says the project can be deployed to Vercel or another host, with Together AI, Chroma Cloud, Bytescale, Clerk, and hosting configured.Read 7 Oct 2026 · github.com
- Storage and hosting
- The repository lists Bytescale for PDF storage and Vercel for hosting and the Postgres database.Read 7 Oct 2026 · github.com
- Use cases
- The homepage describes using it with papers, textbooks, and contracts.Read 7 Oct 2026 · pdftochat.com
- Vector search
- The repository README says Chroma Cloud provides hybrid dense and sparse vector search, with embeddings generated using Qwen and SPLADE.Read 7 Oct 2026 · github.com
- Workflow
- Users sign up, upload a PDF for AI analysis, then ask questions about it.Read 7 Oct 2026 · pdftochat.com
Plans and prices
Strong points and limits
Strong points
- Free account and plan
- Questions about uploaded PDFs
- Open-source code on GitHub
- Web and self-hosted access
- Hybrid vector search described
Limits
- Scanned PDFs are not supported
- Free account required
- PDF image support is a future task
- Chat API sign-in protection is a future task
Who it suits
PDFtoChat suits readers who want to question uploaded papers, textbooks, or contracts through a web or self-hosted application. It also suits developers interested in deploying its open-source template.
Verdict
PDFtoChat provides a focused PDF-questioning workflow with a free plan and deployable source code. Review its listed future tasks and service-credential requirements before self-hosting.
Where Specifiction places it
- AI PDF Assistants#15 of 277.9