[GitHub Trending] firecrawl/pdf-inspector

6.3 relevance

Rust library for PDF inspection and classification, useful for data engineering pipelines but not directly in reader's focus.

Languages github.com

Answer the board on AI readiness

Arrive with evidence, not opinion. See how your foundation benchmarks against your peers, get a clear read, and leave with a ranked place to start.

Why It Matters

For platform engineers building document processing pipelines, pdf-inspector eliminates the cost and latency of cloud OCR for most PDFs, offering a fast, local Rust alternative with structured output that integrates directly into data engineering workflows.

Key Takeaways

Evaluate pdf-inspector as a drop-in replacement for PyMuPDF or OCR-based PDF parsers in your data extraction stack to reduce infrastructure costs and latency for text-based documents.

Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions. - firecrawl/pdf-inspector

Summary

Firecrawl released pdf-inspector, a Rust library that classifies PDFs as text-based or scanned in 10-50ms and extracts structured Markdown with position-aware text, multi-column layout, and table detection. It skips OCR for the ~54% of text-based PDFs, processing them locally in under 200ms, while offering selective OCR via PP-OCRv6 for scanned pages. Benchmarks on the opendataloader-bench corpus show it outperforming liteparse, pymupdf4llm, and markitdown in overall accuracy (0.875) and speed (0.470s for 200 docs), with bindings for Python, Node.js, and browser WebAssembly.

Author

firecrawl