PaddleOCR Best Practice Scenario Project Call #74833
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AI Empowerment: PaddleOCR Best Practice Project Collection is Waiting for You to Join!
Since its release, PaddleOCR has been favored by academia and industry alike for its cutting-edge algorithms and real-world applications. It has been widely adopted in many well-known open-source projects, becoming the top choice for developers in the open-source OCR field.
In May 2025, the PaddlePaddle team released PaddleOCR 3.0 as open-source, fully compatible with PaddlePaddle Framework 3.0 official release, further improving text recognition accuracy. It supports multiple text types and handwritten recognition, meeting the growing demand for high-precision document parsing in large-model applications. Combined with the ERNIE 4.5 Turbo model, it significantly enhances key information extraction accuracy, and now supports domestic hardware such as Kunlunxin and Ascend.
In July 2025, PaddleOCR 3.1 was released, bringing three major upgrades: the new PP-OCRv5 multilingual text recognition model, the new PP-DocTranslation pipeline, and support for MCP servers.
August 5, 2025 — October 30, 2025, PaddlePaddle Galaxy Community sincerely invites developers worldwide to explore the value of OCR scenarios and best practices. Combine with hot industry applications to accelerate project implementation.
👉 GitHub Link: https://github.com/PaddlePaddle/PaddleOCR
Recommended Creative Directions
To fully explore the innovation potential of PaddleOCR, combined with industry hot applications and creativity, we have carefully designed the following featured directions for reference:
Text Recognition Applications Based on PP-OCRv5
PP-OCRv5 provides high-accuracy, lightweight end-to-end text detection and recognition capabilities, suitable for the following scenarios:
Document Parsing Scenarios Based on PP-StructureV3
PP-StructureV3 provides powerful document parsing capabilities, enabling PDF/images → high-quality Markdown transformation in seconds. Combined with ERNIE model, it supports intelligent document parsing and key info extraction applications.
Building AI Agent Workflows Based on PaddleOCR MCP Server
PaddleOCR MCP Server provides PP-OCRv5 and PP-StructureV3 services, combined with ERNIE model to build AI Agent workflows.
Incentive System
Project Rating
Multi-dimensional Bonus
Mentorship Bonus
Elite Projects Sprint
Community Popularity Award (Top 10 Forks)
Surprise Prize Pool (100% guaranteed)
Developer Benefits
Participation Method
Add 【PaddleOCR】 to project title when submitting to project hub.

Scoring Criteria
Your support and participation will continue to help us build a better, more open, and powerful OCR ecosystem!
Don’t just think, take action and join now!
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