whereismyai
PDF Inspector
PDF Inspector is a fast Rust library that classifies PDFs and extracts structured text, bypassing OCR when unnecessary to optimize processing speed and costs.
PDF Inspector is a Rust library designed for efficient PDF classification and text extraction. It identifies whether documents are text-based, scanned, or mixed by sampling content streams, allowing for per-page routing decisions. The library parses documents once, enabling rapid extraction of text and structure into Markdown format, including tables, headings, and lists. It supports bindings for Python, Node.js, and browser WebAssembly. This tool is built to reduce latency and infrastructure costs by avoiding OCR for native-text documents while providing selective OCR capabilities for scanned pages.
PDF Inspector at a glance
- Best for: Software engineer
- Runs on: Web, Rust, Python, Node.js, CLI
- Pricing: Free
- Released: February 2026
- Category: AI productivity tool
- Website: github.com/firecrawl/pdf-inspector
Key features
- Smart document classification for text-based, scanned, or mixed PDFs
- Position-aware text extraction with font and coordinate data
- Markdown conversion including tables, headings, and code blocks
- Dual-mode table detection using drawing operations and text heuristics
- Selective per-page OCR routing to minimize processing overhead
- Browser WebAssembly support for local parsing without server round trips
- Multi-column and reading order detection
- CID font support for various character encodings
Use it for
- Optimizing document processing pipelines for large-scale ingestion
- Routing scanned documents to OCR while extracting native text directly
- Converting financial documents and legal papers to structured Markdown
- Parsing research papers for local analysis or RAG pipelines
Alternatives to PDF Inspector
- Docling — Provides advanced PDF understanding and local execution for sensitive data.
- Pagesift — Extracts web data with high memory efficiency and speed for AI agents.
- docTR — Extracts text and layout details from documents using deep learning.
- OpenDataLoader PDF — It ranks first in benchmarks for layout and table extraction without needing a GPU.
- deepdoctection — Orchestrates layout analysis, OCR, and model fine-tuning in PyTorch pipelines.
- RapidOCR — It converts PaddleOCR models to ONNX format for fast inference and deployment.
- MiniCPM OCR — Efficient document parsing with correctness assessment and high throughput.
- Xberg — Extracts documents, code, images, and audio using one native-Rust engine.
- Sparrow — Extracts structured data locally from documents without cloud dependencies.
- jscpd — A native Rust binary that runs fast without a Node.js runtime and integrates with AI agents.
- MinerU — Parses complex documents and tables into structured markdown for agents.
- CamLabs.ai — Verifies if redacted text can still be copied out of a PDF file.
All PDF Inspector alternatives