liteparse

Streamline document processing with LiteParse batch-parse. Process multiple PDFs DOCXs and images with one command or API call minimizing resource overhead.

Control link extraction in LiteParse markdown output. Learn how to enable or disable links using the CLI flag or LiteParseConfig for precise control over your markdown.

Master LiteParse Node.js bindings with this guide. Learn to parse PDFs, perform OCR, and generate Markdown using type-safe TypeScript and Rust native binary integration.

Explore the OCR merge algorithm in LiteParse's ocr_merge.rs. Discover its two-stage pipeline for efficient OCR processing, parallel execution, and seamless text model integration.

Control LiteParse Markdown image output modes (placeholder embed off) with image_mode parameter or CLI flag. Customize how raster images appear in your Markdown.

Generate PDF screenshots with custom DPI using LiteParse. Simply set the dpi field on LiteParseConfig before creating an instance and call screenshot() for desired resolution.

Learn how to handle large PDF documents in LiteParse by overriding the default max_pages limit using CLI flags or code configurations for efficient parsing.

Learn to use the LiteParse Rust API directly in your custom applications. Explore the LiteParse struct and its async parse methods for efficient file and byte data processing.

Discover LiteParse's PDFium thread safety mechanism. Learn how a process-wide mutex prevents undefined behavior in the native library, ensuring safe PDF operations.

Easily control concurrent OCR workers in LiteParse. Set num_workers in LiteParseConfig or use the --num-workers CLI flag for efficient page processing.

Learn how LiteParse's is_complex command quickly analyzes PDFs for complex content using text density image coverage garbled text detection and vector outline analysis before OCR.

Easily integrate LiteParse with EasyOCR and PaddleOCR HTTP servers using its REST API for powerful OCR capabilities. Streamline your text extraction workflows today.