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Use PaddleOCR-VL OCR online for free: Best OCR AI model

PaddleOCR-VL : Best OCR AI model How to use PaddleOCR-VL for free? Baidu dropped a new model, PaddleOCR-VL. It’s a document parsing system that can read text, tables, formulas, and even charts …

Click to upload or drag and drop

Supported formats: JPG, PNG, JPEG, BMP, PDF

File size: Up to 10MB

ℹ️ What is PaddleOCR-VL Document Parser?

  • PaddleOCR-VL is Baidu's revolutionary ultra-lightweight Vision-Language Model with only 0.9B parameters that outperforms much larger models like GPT-4o and Gemini 2.5 Pro in document parsing tasks. 2
  • This cutting-edge AI model can accurately recognize and extract text, tables, formulas, charts, and even QR codes from documents across 109 languages with exceptional precision. 1
  • Unlike traditional end-to-end models, PaddleOCR-VL uses a two-stage approach: first detecting layout elements, then recognizing each element precisely, making it faster and more stable than all-in-one systems. 2

📋 How to use PaddleOCR-VL Document Parser

  1. Upload your document by clicking the dropzone or dragging your file (supports PDF, images, and various document formats)
  2. Click the 'Parse Document' button and wait for the AI to analyze your document structure
  3. Review the extracted content including text, tables, formulas, and charts in structured format
  4. Copy the parsed content or download it for further use

🚀 Why Choose PaddleOCR-VL?

⚡ Ultra-Lightweight & Fast

  • •Only 0.9B parameters vs competitors' 70-200B parameters
  • •14.2% faster inference than MinerU2.5, 253% faster than dots.ocr 3
  • •Deployable as browser plugins with minimal resource consumption

🎯 SOTA Performance

  • •Outperforms GPT-4o, Gemini 2.5 Pro, and Qwen2.5-VL-72B 3
  • •Achieves SOTA level in almost all sub-metrics 1
  • •Leading method in OmniDocBench-OCR-block performance evaluation

🌍 Multilingual Support

  • •Supports 109 languages including Chinese, English, Japanese, Arabic, Russian 3
  • •Handles vertical text and complex writing systems
  • •Best OCR performance for Asian languages, especially Japanese 4

🎯 Advanced Document Recognition Capabilities

📊 Complex Element Recognition

  • •Accurately extracts text, tables, formulas, and mathematical equations
  • •Recognizes handwritten notes and signatures
  • •Extracts QR codes and stamps separately from documents 3

📈 Chart & Graph Analysis

  • •Supports 11 chart types: combo, pie, bar, area, bubble, histogram, line, scatter, stacked charts 1
  • •Extracts data from complex visualizations
  • •Maintains chart structure and relationships

🏗️ Smart Layout Understanding

  • •Preserves document structure and formatting
  • •Handles complex multi-column layouts
  • •Maintains reading order and hierarchical relationships

💡 Perfect For

🏢 Business & Enterprise

  • •Invoice and receipt processing
  • •Contract and legal document analysis
  • •Financial report digitization

🎓 Academic & Research

  • •Research paper and thesis digitization
  • •Mathematical formula extraction
  • •Scientific chart and graph analysis

📚 Personal & Productivity

  • •Book and magazine digitization
  • •Handwritten note conversion
  • •Screenshot text extraction

🔧 Technical Advantages

🧠Advanced Architecture

  • •NaViT-style dynamic resolution visual encoder
  • •ERNIE-4.5-0.3B language model integration 1
  • •Two-stage processing: layout detection + element recognition

⚙️Deployment & Integration

  • •Adopted by RAGFlow, MinerU, Umi-OCR, OmniParser 5
  • •Multithreaded pipeline with vLLM or SGLang backend 2
  • •Browser plugin deployment capability