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opendataloader-project/opendataloader-pdf

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25,769 stars·2,438 forks·Java·Apache-2.0·29 viewsopendataloader.org↗

Opendataloader Pdf

This project is a PDF data extraction tool and document preprocessor designed to convert PDF files into structured formats such as Markdown, JSON, and HTML. It functions as an OCR document parser for scanned files, an accessibility automator for generating PDF/UA compliant metadata, and a loader for AI orchestration frameworks like LangChain.

The software distinguishes itself through specialized handling of complex document elements, including the conversion of mathematical formulas into LaTeX and the generation of natural-language descriptions for charts and images. It utilizes recursive segmentation to determine correct reading orders in multi-column layouts and employs border-cluster detection to preserve the integrity of merged-cell tables.

Broad capabilities include optical character recognition, semantic document chunking for retrieval optimization, and noise reduction to strip headers and footers. It also features security utilities for decrypting password-protected files, sanitizing sensitive private data, and filtering invisible content to prevent prompt injection.

The project supports high-throughput batch processing and provides structure visualization tools to overlay detected semantic elements onto original documents for verification.

Features

  • Structured Data Extraction - Converts PDF documents into structured machine-readable formats like JSON, Markdown, and HTML.
  • Structured PDF Conversions - Converts PDF documents into structured Markdown, JSON, and HTML formats optimized for use with large language models.
  • Document Layout Analysis - Analyzes multi-column document layouts using XY-Cut algorithms to determine the correct logical reading sequence.
  • Retrieval Optimization - Splits content based on semantic elements and headings to optimize data retrieval for AI models.

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  • Semantic Chunking - Splits documents into meaningful segments based on structural boundaries like headings and tables for AI retrieval.
  • OCR Document Parsers - Uses optical character recognition to digitize scanned PDFs while preserving complex multi-column reading orders.
  • Optical Character Recognitions - Integrates OCR engines to convert image-based PDF pages into machine-readable text and structure.
  • Accessible PDF Generation - Automatically generates structural tags for legacy PDFs to ensure screen-reader compatibility and accessibility.
  • Accessibility Standard Exports - Converts tagged documents into PDF/UA-1 or PDF/UA-2 compliant outputs to meet official accessibility standards.
  • Reading Order Predictors - Employs recursive segmentation to predict and ensure the correct logical reading sequence in multi-column layouts.
  • Table Structure Detections - Analyzes document layouts using border-cluster methods to preserve the structural integrity of tables.
  • Structure Tree Parsing - Parses the internal PDF structure tree to map semantic roles and hierarchies for accessibility and data extraction.
  • Semantic Element Extraction - Provides extraction of PDF content with semantic labeling for elements like headings, paragraphs, and tables.
  • Document and LLM Preparation - Provides a preprocessing pipeline that cleans noise, sanitizes data, and performs semantic chunking for AI retrieval.
  • Structured Data Exporters - Generates hierarchical JSON representations of detected elements like tables and lists for downstream processors.
  • Tabular Structure Detection - Identifies tabular structures using line border analysis and spatial clustering to preserve merged-cell integrity.
  • Optical Character Recognition - Processes image-based PDF pages to identify text and create searchable layers across multiple languages.
  • Image Description Generation - Generates AI-driven text summaries of images and charts to provide accessibility alt-text.
  • LangChain Tool Integrations - Integrates document loading capabilities with the LangChain orchestration framework for LLM-powered applications.
  • Visual Content Analysis - Analyzes visual chart data to generate natural-language descriptions for improved interpretability.
  • Document Noise Reductions - Removes non-content elements such as headers, footers, and watermarks to improve data quality.
  • Image Extractions - Extracts images from PDF pages and exports them as standalone files or Base64 encoded strings.
  • Document Loaders - Functions as a document loader that integrates structured PDF content into the LangChain orchestration framework.
  • Technical Content Conversions - Recognizes complex table structures and mathematical notations to transform them into machine-readable data.
  • Page Coordinate Mapping - Provides bounding boxes for extracted elements to map content back to original page coordinates for citations.
  • Formula Extractors - Identifies mathematical formulas in PDFs and converts them into LaTeX format for technical precision.
  • AI Content Filters - Filters hidden text and prompt injection attempts from document content to ensure AI safety.
  • Content Sanitization - Uses pattern matching to replace sensitive private data and strip invisible text to prevent prompt injection.
  • Data Sanitization - Replaces sensitive private information such as emails, phone numbers, and credit cards with placeholders.
  • Invisible Text Removal - Removes invisible or off-page text to prevent prompt injection attacks and strip machine-only content.
  • Batch Document Processing - Processes multiple PDF files in a single execution to increase throughput and reduce startup overhead.
  • Complexity-Based Routers - Routes simple text pages through fast paths and complex pages to AI backends to optimize processing.
  • Accessibility Compliance Verifiers - Validates PDF documents against industry standards to ensure logical structure and accessibility compliance.
  • Structural Tag Extractions - Extracts logical structural tags to identify the hierarchy and roles of content elements within PDFs.
  • Tabular Data Extraction - Implements specialized detection of table borders and merged cells to preserve the structural integrity of tabular data.

    • Star history

    Star history chart for opendataloader-project/opendataloader-pdfStar history chart for opendataloader-project/opendataloader-pdf

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Projects sharing features with Opendataloader Pdf

    These projects share indexed features with Opendataloader Pdf. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • kreuzberg-dev/kreuzbergkreuzberg-dev avatar

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      Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into clean, structured text and metadata. It is built around a compiled Rust core that can be used as a native library, a command-line tool, a REST API server, or a WebAssembly module for browser-based processing. The system is designed to run entirely on self-hosted infrastructure, with no data leaving the user's environment. What distinguishes Kreuzberg is its breadth of integration surfaces and its pipeline architecture. It exposes extraction capabilities through native bindings fo

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    • ds4sd/doclingDS4SD avatar

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      Docling is a multimodal content converter and document parser designed to transform PDFs, Office files, and HTML into structured Markdown or JSON for generative AI applications. It functions as an OCR document processor and a PDF layout analyzer that extracts tables, charts, and hierarchical structures while preserving the original page layout. The system operates as a local-first inference engine, allowing for the processing of sensitive data in air-gapped environments without external network connectivity. It can also be deployed as an API or a Model Context Protocol server to provide parsi

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    • breezedeus/pix2textbreezedeus avatar

      breezedeus/Pix2Text

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      Pix2Text is an optical character recognition system and document conversion tool designed to transform images and PDFs into Markdown. It functions as a multilingual OCR engine supporting over 80 languages, a LaTeX formula recognizer for mathematical notations, and a parser integrated with vision language models. The project utilizes a hybrid pipeline to separate plain text from mathematical formulas and tabular structures within a single pass. It converts recognized formulas into LaTeX expressions and transforms detected tables and layouts into structured Markdown formatting. The system incl

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      pymupdf/PyMuPDF

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      PyMuPDF is a comprehensive PDF manipulation library and document analysis tool. It serves as a text extraction tool, OCR engine, and image converter, providing a programmatic interface to edit, merge, split, and optimize PDF and Office documents. The project distinguishes itself through high-performance capabilities, including the use of C-bindings for low-level manipulation and parallelized page processing to accelerate workloads. It provides specialized conversion paths, such as transforming PDF content into Markdown for retrieval-augmented generation and large language model pipelines. It

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    Frequently asked questions

    What does opendataloader-project/opendataloader-pdf do?

    This project is a PDF data extraction tool and document preprocessor designed to convert PDF files into structured formats such as Markdown, JSON, and HTML. It functions as an OCR document parser for scanned files, an accessibility automator for generating PDF/UA compliant metadata, and a loader for AI orchestration frameworks like LangChain.

    What are the main features of opendataloader-project/opendataloader-pdf?

    The main features of opendataloader-project/opendataloader-pdf are: Structured Data Extraction, Structured PDF Conversions, Document Layout Analysis, Retrieval Optimization, Semantic Chunking, OCR Document Parsers, Optical Character Recognitions, Accessible PDF Generation.

    Which projects share features with opendataloader-project/opendataloader-pdf?

    Projects with overlapping indexed features include: kreuzberg-dev/kreuzberg — Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into… ds4sd/docling — Docling is a multimodal content converter and document parser designed to transform PDFs, Office files, and HTML into… breezedeus/pix2text — Pix2Text is an optical character recognition system and document conversion tool designed to transform images and PDFs… pymupdf/pymupdf — PyMuPDF is a comprehensive PDF manipulation library and document analysis tool. It serves as a text extraction tool,… protectai/llm-guard — LLM Guard is a security firewall and guardrail framework designed to scan and sanitize inputs and outputs for large… opendatalab/mineru — MinerU is a document parsing pipeline designed to transform unstructured files into machine-readable, structured data.…

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