EasyOCR Agent

The EasyOCR Agent is a powerful and user-friendly OCR solution that supports multiple languages and provides high-accuracy text extraction from images and documents. It offers a simple interface while maintaining robust recognition capabilities.

EasyOCR Agent interface and configuration

Language Support Note: Make sure to specify the correct languages in comma-separated format (e.g., "en,fr") for accurate text recognition. The first language specified will be treated as the primary language.

Component Inputs

Source Type: Type of input source (PDF/Image/ZIP)
Select from available source types
PDF/Image/ZIP: Upload your document file
Supported formats: PDF, PNG, JPEG, ZIP
Google Drive URL: Optional URL to process files from Google Drive
Example: "https://drive.google.com/file/d/..."
Languages: Comma-separated language codes
Example: "en,fr,es" for English, French, Spanish

Component Outputs

Extracted OCR Text: The extracted text content from the document
Complete text extracted with layout preservation

How It Works

The EasyOCR Agent uses a deep learning-based OCR engine to recognize text in multiple languages. It processes documents in various formats and provides accurate text extraction with layout preservation capabilities.

Processing Flow

Document input validation and format checking
Image preprocessing and enhancement
Text detection using deep learning models
Multi-language recognition processing
Text extraction and layout analysis
Output formatting and delivery

Use Cases

Multi-language Document Processing: Handle documents in various languages
Batch Processing: Process multiple documents using ZIP archives
Cloud Integration: Process documents directly from Google Drive
Form Recognition: Extract text from structured forms and documents
Image Text Extraction: Extract text from images and screenshots

Implementation Example

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

const result = await easyOCR.processDocument();

// Output:
// {
//   extractedText: "Processed document content with preserved layout...",
//   confidence: 0.95,
//   processingTime: "2.3s"
// }

Useful Resources

Best Practices

Use high-quality input images for better recognition accuracy
Specify the correct primary language for improved results
Consider image preprocessing for poor quality documents
Use batch processing for multiple documents
Validate input file formats before processing

Documentation