PaddleOCR is an open-source OCR and document parsing toolkit from the PaddlePaddle ecosystem. It helps convert images and PDF documents into text or structured data for applications and AI workflows.

Is this the official PaddleOCR website?

No. This is an independent developer resource. Official project information is available from the PaddlePaddle PaddleOCR GitHub repository and official documentation.

Which PaddleOCR modules should developers compare first?

Start with PP-OCRv5 for general text recognition, PP-StructureV3 for document structure parsing, and PaddleOCR-VL for vision-language document understanding.

Independent developer resource

PaddleOCR Resource Hub

Practical notes for evaluating PaddleOCR as an OCR and document parsing engine for multilingual text, scanned files, tables, formulas, charts, and AI-ready structured output.

Compare modules Open GitHub

Languages: 100+
Outputs: Text, JSON, Markdown
Focus: OCR + document AI

TEXT TABLE FORMULA JSON

Overview

OCR that fits document-heavy AI pipelines.

PaddleOCR turns PDFs and images into machine-readable text or structured data. It is useful when an application needs multilingual recognition, document layout parsing, key information extraction, or a preprocessing layer for retrieval and large language model workflows.

The official ecosystem spans lightweight recognition models, structure-aware conversion, browser inference, server deployment, and high-performance backends for production environments.

Core modules

Start with the capability that matches the document problem.

Text recognition

PP-OCRv5

General OCR for multilingual and mixed-language documents, natural scenes, screenshots, IDs, and printed or handwritten text.

Good first choice for text extraction.
Designed for efficient deployment.
Useful before search, indexing, and review workflows.

Layout parsing

PP-StructureV3

Structure-aware conversion for complex PDFs and images when tables, text coordinates, and page structure matter.

Targets Markdown and JSON conversion.
Preserves finer-grained document coordinates.
Useful for enterprise document automation.

Document VLM

PaddleOCR-VL

A compact vision-language model family for robust document understanding across skewed scans, screen photos, illumination issues, and complex elements.

Recognizes text, tables, formulas, and charts.
Designed for resource-efficient parsing.
Useful when OCR needs semantic document context.

Developer workflow

A compact path from install to structured output.

pip install paddleocr
paddleocr predict -i ./sample.png

1

Choose the pipeline

Use PP-OCRv5 for recognition, PP-StructureV3 for layout parsing, or PaddleOCR-VL for document VLM workflows.
2

Validate on real documents

Test scanned PDFs, mobile photos, screenshots, multilingual files, and tables before choosing deployment settings.
3

Ship with matching docs

PaddleOCR 3.x has interface changes, so keep implementation notes aligned with the version in production.

Official resources

Use this hub as a map, then verify details at the source.

GitHub repository Source code, releases, issues Official documentation Install, quick start, pipelines Online experience Try PaddleOCR in a browser

FAQ

Common evaluation questions.

What is PaddleOCR best used for?

PaddleOCR is a strong fit for OCR, multilingual text recognition, document parsing, table extraction, and preprocessing documents for AI systems.

Is PaddleOCR only for Python?

Python is the common starting point, but the official ecosystem also documents deployment and integration paths for service, C++, and high-performance inference scenarios.

Is this website official?

No. PaddleOCR Resource Hub is an independent informational site. PaddleOCR is maintained by the PaddlePaddle project, and official decisions should be verified through the linked project pages.