LiteParse
Apache-2.0 local PDF/doc parser — PDFium + OCR, no cloud required
AI Agents / Tooling · Apache-2.0 · 12.9k
Reviewed 2026-09-30 · last push 2026-10-12 · repo checked 2026-10-19
What's Good
Apache-2.0 (run-llama/liteparse). Rust core with Python, Node, and WASM bindings. ~2–5ms/page PDFium path, bundled Tesseract or HTTP OCR, complexity detection before heavy parse, page screenshots for multimodal agents, worker-pool mode with per-parse timeouts. Docs at developers.llamaindex.ai/liteparse.
The Catch
Vs LlamaIndex (framework) and cloud LlamaParse: LiteParse is the local OSS parser binary/bindings; LlamaParse cloud is the upsell for dense tables/scans/handwriting. Hard docs still want LlamaParse or another heavy parser — do not pretend local PDFium equals production OCR SaaS.
Verdict
Apache local parse when agents need fast PDF→Markdown on-box — not LlamaParse cloud; escalate hard scans deliberately.
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