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opendataloader-project/opendataloader-pdf

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

Java ◇ a11y Apache-2.0
★29.5KSTARS
⑂2.8KFORKS
!91ISSUES
🏆#445GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Momentum

+737

STARS · LAST 30 DAYS

25

PER DAY

#19

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+175+737+2.3K
Per day252525
Forks gained+14+56+140

opendataloader-pdf gained 737 stars in the last 30 days, about 25 a day, and now has 29.5K. It is about 1 year old and has averaged roughly 29.5K stars a year. It ranks #19 among Java repositories and #445 across all languages on GitHubRepo.

Trending Record

opendataloader-pdf has maintained a continuous presence across global trending indexes, peaking at #3192. Below is the 30-day activity profile:

💡 Overview

opendataloader-pdf is an open-source project written in Java: PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

Engineered for speed, consistency, and developer ease, it solves common hurdles in a11y, accessibility, ai. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Java for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/opendataloader-project/opendataloader-pdf.git
cd opendataloader-pdf

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

opendataloader-pdf coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with opendataloader-pdf.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install opendataloader-pdf using your package manager: `git clone https://github.com/opendataloader-project/opendataloader-pdf.git`

2

Initialize your project workspace or configuration file for opendataloader-pdf.

3

Import opendataloader-pdf into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `opendataloader-pdf --help` to verify successful setup.

👍 Strengths

Active community backing with 29,480 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Java for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Java and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

opendataloader-project/opendataloader-pdf is currently ranked #445 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#440 jordanbaird/Ice Swift ★ 29.8K Compare ↗
#441 micro-editor/micro Go ★ 29.7K Compare ↗
#442 nautechsystems/nautilus_trader Rust ★ 29.6K Compare ↗
#443 Anil-matcha/Open-Generative-AI JavaScript ★ 29.6K Compare ↗
#444 composer/composer PHP ★ 29.5K Compare ↗
#445 opendataloader-project/opendataloader-pdf This Project Java ★ 29.5K
#446 chroma-core/chroma Rust ★ 29.4K Compare ↗
#447 karakeep-app/karakeep TypeScript ★ 29.4K Compare ↗
#448 nrwl/nx TypeScript ★ 29.4K Compare ↗
#449 JunkFood02/Seal Kotlin ★ 29.4K Compare ↗
#450 deskflow/deskflow C++ ★ 29.3K Compare ↗

Frequently Asked Questions

What does opendataloader-pdf do? +

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

What language is opendataloader-pdf written in? +

The primary language is Java. Topics include: a11y, accessibility, ai, bounding-box, document-parsing.

Is opendataloader-pdf actively maintained? +

Yes, the last recorded push was on Oct 6, 2026 with 91 open issues being tracked.

How many stars does opendataloader-pdf have? +

opendataloader-pdf has 29,480 stars and 2,808 forks on GitHub.

How does opendataloader-pdf rank among GitHub repositories? +

With 29,480 stars, opendataloader-project/opendataloader-pdf is ranked #445 globally across all repositories tracked on GitHubRepo and #19 among Java projects.

What license is opendataloader-pdf distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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