LiteParse
Fast, local PDF parsing with spatial text parsing, OCR, and bounding boxes
Visit developers.llamaindex.ai ↗What is LiteParse?
LiteParse is an open-source PDF parsing tool designed for speed and lightweight operation. It performs spatial text parsing using PDFium, generates bounding boxes for precise text positioning, and includes flexible OCR capabilities with built-in Tesseract support or integration with external OCR servers. The tool runs entirely locally without cloud dependencies or proprietary LLM features.
LiteParse outputs structured Markdown, JSON, or plain text and includes complexity detection to route documents appropriately before full parsing. It supports multiple languages via Rust, Node.js, TypeScript, Python, and browser-based WebAssembly. The project includes worker pool mode for true parallelism and per-parse timeouts. According to the repository, it was built with Claude AI coding tools.
Momentum
Daily activity over the last 30 days: upvotes, unique visits, new GitHub stars and Hacker News points.
How do we know it's vibe coded?
vibetrend discovered LiteParse automatically. Evidence: GitHub run-llama/liteparse; repo has AGENTS.md, CLAUDE.md. View source.
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