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PaddlePaddle/PaddleOCR

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Python ◇ ai4science Apache-2.0
★92KSTARS
⑂11.6KFORKS
!259ISSUES
🏆#116GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

PaddleOCR is PaddleOCR is an open-source project written in Python: Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), PaddlePaddle/PaddleOCR has accumulated 92,020 GitHub stars and 11,594 forks. It is written in Python, licensed under Apache-2.0, and ranks #116 globally. It is actively maintained with the latest commit recorded on Sep 16, 2026.”
Repository PaddlePaddle/PaddleOCR ↗
Primary Category ai4science
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 92K stars · ⑂ 11.6K forks · #116 globally
Maintenance ● Active (Last commit: Sep 16, 2026) · 259 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 90/100 · Grade A
✅
Is PaddleOCR actively maintained in 2026?
Verdict: Actively Maintained

Yes, PaddleOCR is actively maintained. Continuous telemetry recorded the last code commit on Sep 16, 2026 (58 days ago). Supported by 92,020 stars and 11,594 community forks, this repository holds a calculated health index of 90/100, reflecting regular maintenance (58 days ago) and active community feedback (259 open).

Commit Recency
Sep 16, 2026
58 days since last push
Issue Backlog
259 Open Issues
Active Community Feedback (259 open)
Community Backing
11.6K Forks
92K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
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Momentum

+1.5K

STARS · LAST 30 DAYS

51

PER DAY

#31

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+1.5K+4.6K
Per day15151
Forks gained+0+163+580

PaddleOCR gained 1.5K stars in the last 30 days, about 51 a day, and now has 92K. It is about 7 years old and has averaged roughly 13.1K stars a year. It ranks #31 among Python repositories and #116 across all languages on GitHubRepo.

Trending Record

PaddleOCR has maintained a continuous presence across global trending indexes, peaking at #93. Below is the 30-day activity profile:

💡 Overview

PaddleOCR is an open-source project written in Python: Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai4science, chineseocr, document-parsing. 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 Python 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
$ pip install PaddleOCR

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

PaddleOCR coordinates its core functionality through a modular Python 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 PaddleOCR.

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 PaddleOCR using your package manager: `pip install PaddleOCR`

2

Initialize your project workspace or configuration file for PaddleOCR.

3

Import PaddleOCR into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 90,158 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python 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 Python 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 Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

PaddlePaddle/PaddleOCR is currently ranked #116 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#111 odysseus-dev/odysseus Python ★ 94K Compare ↗
#112 vllm-project/vllm Python ★ 93.9K Compare ↗
#113 louislam/uptime-kuma JavaScript ★ 93.4K Compare ↗
#114 OpenHands/OpenHands TypeScript ★ 93.3K Compare ↗
#115 infiniflow/ragflow Go ★ 92.2K Compare ↗
#116 PaddlePaddle/PaddleOCR This Project Python ★ 92K
#117 astral-sh/uv Rust ★ 91.8K Compare ↗
#118 home-assistant/core Python ★ 91.5K Compare ↗
#119 django/django Python ★ 91.4K Compare ↗
#120 opencv/opencv C++ ★ 91.4K Compare ↗
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Frequently Asked Questions

What does PaddleOCR do? +

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Is PaddleOCR actively maintained in 2026? +

Yes, PaddleOCR is actively maintained. The latest code push was recorded on Sep 16, 2026 (58 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 92,020 stars and 259 open issues.

What language is PaddleOCR written in? +

The primary language is Python. Topics include: ai4science, chineseocr, document-parsing, document-translation, kie.

How many stars does PaddleOCR have? +

PaddleOCR has 92,020 stars and 11,594 forks on GitHub.

How does PaddleOCR rank among GitHub repositories? +

With 92,020 stars, PaddlePaddle/PaddleOCR is ranked #116 globally across all repositories tracked on GitHubRepo and #31 among Python projects.

What license is PaddleOCR distributed under? +

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

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