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Image & Video

Paddleocr

PaddleOCR is an optical character recognition system designed to convert documents and images into structured data formats such as JSON and Markdown. It supports a wide range of text recognition tasks including printed, handwritten, and multilingual documents, with models like PP-OCRv5 and PP-Structure enabling high-precision text recognition and complex layout analysis including tables, formulas, and charts. The system provides tools for model training, inference, and deployment across multiple platforms including Windows, Linux, and MacOS. PaddleOCR also integrates advanced features such as PaddleOCR-VL for document parsing and PP-ChatOCRv4 for information extraction using ERNIE 4.5.

Updated Jan 28, 2026open-source
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Overview

PaddleOCR is an open-source OCR system supporting 109 languages and complex document layout analysis with structured output formats.

Pricing
open-source
Category
Image & Video
Company
Visual Guide
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Key Features
01
Supports recognition of text in 109 languages including digits, vertical text, and long text formats.
02
Includes lightweight and general models such as ppocr_mobile, ppocr_server, and ppocr_mobile_slim for various resource environments.
03
Provides tools like PP-Structure and PaddleOCR-VL for analyzing complex layouts including tables, formulas, charts, and preserving structure in JSON/Markdown.
04
Integrates ERNIE 4.5 for extracting information from documents to support advanced data processing.
05
Supports installation via PIP on Windows, Linux, and MacOS, with deployment options including self-hosted MCP server.
Real-World Use Cases

Document Digitization

Converting scanned documents and images into structured digital formats for archiving and search.

Multilingual Text Recognition

Extracting text from documents in multiple languages including handwritten and printed text.

Complex Layout Analysis

Parsing documents containing tables, formulas, and charts while preserving their structure in output formats.

Information Extraction for AI Pipelines

Using OCR outputs integrated with ERNIE 4.5 for automated data extraction in AI and research applications.

Quick Start
1
Install PaddleOCR
Install PaddleOCR via PIP on Windows, Linux, or MacOS.
2
Download Pre-trained Models
Obtain pre-trained models from GitHub, AIStudio, or ModelScope repositories.
3
Run Inference
Use provided tools to run OCR inference on images or documents.
4
Customize and Deploy
For custom needs, utilize training tools or deploy via MCP server with configuration files.
5
Test Online Demo
Try the online demo available on the official website beta for PDF parsing.
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Pricing
Model: open-source

PaddleOCR is open-source with free API and MCP services available in beta; no paid plans were found in verified data.

Assessment
Strengths
  • Supports 109 languages including digit, vertical, and long text recognition.
  • Lightweight models capable of running on CPUs with low resource consumption.
  • Provides structured output formats such as JSON and Markdown preserving document layout.
  • Cross-platform support with easy installation via PIP.
  • Includes integrated tools for training, inference, and deployment.
Limitations
  • Requires the PaddlePaddle framework, which limits usage to its ecosystem.
  • Deployment configurations like MCP server require custom setup and configuration.
Alternatives
Tesseract OCR→EasyOCR→MMOCR→DocTR→TrOCR→