DocuSpark lets you securely chat with your PDFs, health reports, and forms — and then act. Extract insights, fill forms, or even send emails — all with agentic AI. Your documents stay private. No setup, no training. Just upload and go.
Private chat for documents to get answers & take action
DocuSpark lets you securely chat with your PDFs, health reports, and forms — and then act. Extract insights, fill forms, or even send emails — all with agentic AI. Your documents stay private. No setup, no training. Just upload and go.
Hey Product Hunt! 👋 We built DocuSpark because working with documents today still feels like being stuck in the past. You upload a PDF… and then what? You scroll, search manually, and hope you remember what’s where. We wanted something better — an agentic AI that not only understands your documents, but acts on them. 💡 Upload a health report? DocuSpark can generate a meal plan or suggest supplements. 📄 Filling a long form? DocuSpark can fill it out and ask if you'd like it emailed. 📁 Onboarding
Document-centric AI interaction requires secure on-device processing with precise OCR and layout understanding - enabling natural language queries while preserving sensitive data integrity through local computation.
Being able to just chat with my PDFs and forms, then instantly extract info or fill things out with AI, is incredibly powerful. Plus, knowing my data stays private is a huge relief.
Cool idea! The agentic approach sounds promising. Godspeed! 🚀
Sure! Here’s an improved version of your message with the added question: Congrats on the launch, Sudhir! Gonna try it soon. By the way, curious to know — how are you processing the data and generating responses?
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.