BaseParse is the ultimate Document Intelligence API for AI engineers. Its highlight? Flawlessly parsing complex research papers, exam papers, medical reports, and scanned documents into clean, structured JSON. Unlike basic OCR tools, BaseParse retains 100% of document context—preserving multi-column text, complex tables, mathematical formulas, diagrams, and reading order. Seamlessly feed high-precision data into your LLMs, RAG pipelines, and AI agents with zero information loss.
I am Rajesh Peddarla, creator of BaseParse.
While building RAG and LLM applications, I kept getting burned by bad document parsing. LLMs are powerful, but feeding them messy text from complex files leads to hallucinations and missed facts.
Standard OCR tools break when reading complex documents:
They mangle tables in medical reports
They destroy math formulas in research papers
They ruin multi-column layouts in exam papers
They strip context from scanned PDFs
I built BaseParse to solve this. Instead of returning flat text, BaseParse acts as a Document Intelligence layer that converts complex files into structured, AI-ready JSON with zero context loss.
I initially set out to build a simple OCR tool. But after testing real-world files, I realized text alone was not enough. I evolved BaseParse to preserve full layout structure, tables, formulas, diagrams, and reading hierarchy intact.
Please give it a try and let me know what you think! I would love to answer any questions and hear your feedback below.