PaddleOCR Agent

PaddleOCR Agent is a highly efficient OCR tool based on the PaddleOCR framework, offering multi-language support and advanced text detection capabilities. It provides state-of-the-art OCR accuracy with optimized performance for various document types.

PaddleOCR Agent interface and configuration

Source Type Note: Ensure your input document matches the selected source type for optimal processing. The agent supports various formats including PDF, images, and ZIP archives.

Component Inputs

Source Type: Select input source type
Choose from PDF, Image, or ZIP formats
PDF/Image/ZIP: Upload document file
Support for multiple file formats
Google Drive URL: Optional Google Drive file URL
Direct processing from Google Drive

Component Outputs

Extracted OCR Text: Processed text output
Extracted text with formatting preservation

How It Works

PaddleOCR Agent utilizes the powerful PaddleOCR framework to perform text detection and recognition. It employs advanced deep learning models optimized for various languages and document types.

Processing Flow

Document preprocessing and format validation
Text region detection using deep learning
Character recognition and extraction
Post-processing and layout analysis
Text reconstruction and formatting
Final output generation

Use Cases

Document Digitization: Convert physical documents to digital text
Asian Language Processing: Specialized in Asian language recognition
Batch Document Processing: Handle multiple documents efficiently
Layout Analysis: Preserve complex document layouts
Cloud Document Processing: Process documents from cloud storage

Implementation Example

const paddleOCR = new PaddleOCRAgent({
  sourceType: "PDF",
  file: documentFile,  // File object or path
  googleDriveUrl: "https://drive.google.com/file/d/..." // Optional
});

const result = await paddleOCR.processDocument();

// Output:
// {
//   extractedText: "Processed document text with preserved formatting...",
//   confidence: 0.98,
//   detectedLanguages: ["en", "zh"]
// }

Useful Resources

Best Practices

Ensure proper image resolution for better accuracy
Use appropriate preprocessing for poor quality documents
Consider document orientation for optimal results
Utilize batch processing for multiple files
Monitor system resources for large-scale processing

Documentation