docling-project/docling-parse

A fast, helpful, and open-source document parser

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

Collection of PDF parsing libraries like AI based docling, claude, openai, gemini, meta's llama-vision, unstructured-io, and pdfminer, pymupdf, pdfplumber etc for efficient snapshot, text, table, and metadata extraction.

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

A Docker-powered service for PDF document layout analysis. This service provides a powerful and flexible PDF analysis service. The service allows for the segmentation and classification of different parts of PDF pages, identifying the elements such as texts, titles, pictures, tables and so on.

Visual document analysis studio powered by Docling — configure the extraction pipeline, inspect text, tables and bounding boxes in the browser, then chunk, embed and index into OpenSearch and Neo4j.

Fast, open-source PDF text extraction API. Files never stored.

converts binary PDF to JSON and text, for server-side PDF processing and command-line use. Zero dependency.

python package to parse pdfs with different parsers