PDF Extract Kit

Features

PDF Format Converters - Converts PDF documents into structured Markdown, HTML, and LaTeX formats while preserving layout and content quality.
PDF to Markdown Converters - Transforms PDF documents into structured Markdown format while preserving content quality and original layout.
Document Layout - Identifies structural elements in PDF reports and textbooks while ignoring noise like watermarks or blurring.
Document Layout Analysis - Uses deep learning models to identify structural document elements like tables and formulas within PDFs.
Optical Character Recognition - Extracts text from PDF documents through an OCR pipeline to enable digital analysis of visual content.
Text Extractors - Provides an OCR pipeline to retrieve written text and precise spatial metadata from PDF layers.
Text Extraction and OCR - Extracts precise text content and spatial coordinates from PDF images and documents using optical character recognition.
Document Layout Analyzers - Maps spatial relationships and structural elements within PDFs using layout detection, formula recognition, and OCR.
Content Extraction - Implements a multi-stage pipeline that sequentially performs layout detection, formula recognition, and text extraction.
Document Parsing Pipelines - Implements modular parsing pipelines that automate the extraction of data from documents for downstream translation or question answering.
Table Extraction Utilities - Detects table structures in documents and extracts content into machine-readable formats like HTML or LaTeX.
Text Extraction - Recognizes and extracts text content and precise spatial coordinates from document images.
Formula Locators - Locates mathematical formulas within multilingual documents to prepare them for subsequent recognition and extraction.
Formula Extractors - Detects and recognizes mathematical notation within documents to convert complex formulas into digital text.
Formula Recognition Engines - Translates images of mathematical formulas into editable source code using LaTeX formatting.
Image-to-LaTeX Converters - Converts images of mathematical formulas and tables into structured LaTeX code using specialized recognition models.
Extraction Model Evaluation - Evaluates parsing performance against comprehensive datasets to determine the most accurate extraction model for specific document types.
Output Format Rendering - Provides capabilities to render internal document representations into multiple target formats including Markdown, HTML, and LaTeX.
Table-to-Code Converters - Transforms images of tables into structured source code using LaTeX, HTML, or Markdown formats.
Compositional Transformation Pipelines - Allows the construction of custom extraction workflows by chaining modular components into a sequential transformation pipeline.
Data Processing - Toolkit for comprehensive PDF content extraction.
Data Processing Tools - Toolkit for structured content extraction from PDF documents.

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See all 30 alternatives to PDF Extract Kit

opendatalabPDF-Extract-Kit

Features

Open-source alternatives to PDF Extract Kit

breezedeus/Pix2Text

pymupdf/PyMuPDF

kreuzberg-dev/kreuzberg

getomni-ai/zerox

Star history

Open-source alternatives to PDF Extract Kit

breezedeus/Pix2Text

pymupdf/PyMuPDF

kreuzberg-dev/kreuzberg

getomni-ai/zerox