DocuLens AI turns invoices, purchase orders and contracts into structured intelligence — classification, field extraction, mismatch detection and compliance scoring — as a single Next.js application with no database and no separate backend service.
Three tools, one document
- Analyze: auto-classification with a confidence score, structured field extraction, an AI-generated executive summary, issue detection with severity flags.
- Compare: deterministic mismatch detection between two documents — amounts, dates, line items.
- Compliance: a reproducible scoring pass against a defined rule set.
Why "deterministic" is the whole pitch
An LLM given an invoice and asked "is this compliant?" will happily give you a different answer on two runs of the identical document. That's fine for a summary, unstable for anything you'd act on. DocuLens separates the two: the LLM extracts fields, and a schema-validated, deterministic layer scores them — so the same document produces the same score, every time, and you can explain exactly why.
Minimal infrastructure on purpose
No database, no auth layer, no separate backend. Enterprise-grade extraction logic, intentionally minimal infrastructure around it — a reminder that "production-grade" is about correctness and reproducibility, not how many services you're running.
Repo: github.com/Pranjulrathour/DOCULENS-AI-NEXTUPGRAD-.
GenAI engineer and AI product builder with 2+ years shipping production-grade AI systems: RAG pipelines, fine-tuned LLMs, hybrid retrieval and multi-modal apps across vision, speech and OCR, architected end to end from ingestion to deployment. Leads engineering for SCULT INDIA's 14-member team, founded the 500+ member TechVerse Enclave community and has mentored 200+ students. Three hackathon first prizes: Changethon 2025 (IIT Roorkee), Product Genesis at Vividhotsava 2025 (CSJMU Kanpur) and BYTEBATTLE (MeetKats).
Open to GenAI roles, hackathon judging, mentorship sessions and guest talks at colleges. Email pranjulrathour41@gmail.com.
