Doctor OCR Agent

Doctor OCR Agent is a specialized OCR solution designed for medical document processing. It offers high-precision text extraction with support for medical terminology, handwriting recognition, and complex medical document layouts.

Doctor OCR Agent interface and configuration

Processing Note: For optimal results, enable multithreading and set appropriate processing concurrency based on your system resources and document complexity.

Component Inputs

Source Type: Input source selection
PDF, Image, or ZIP formats supported
PDF/Image/ZIP: Document file upload
Medical documents and forms
Google Drive URL: Cloud storage access
Process files from Google Drive
Use Multithreading: Enable parallel processing
Improve processing speed for large documents
Processing Concurrency: Number of concurrent threads
Default: 4 threads

Component Outputs

Extracted OCR Text: Processed document text
Includes medical terminology recognition

How It Works

The Doctor OCR Agent combines advanced OCR technology with medical domain expertise to accurately process healthcare documents. It uses specialized algorithms for medical terminology recognition and supports parallel processing for improved performance.

Processing Flow

Document validation and preprocessing
Medical terminology dictionary loading
Parallel processing setup (if enabled)
Text detection and recognition
Medical term verification and correction
Results compilation and formatting

Use Cases

Medical Records: Process patient records and medical histories
Prescription Processing: Extract information from prescriptions
Lab Reports: Digitize laboratory test results
Medical Forms: Process healthcare forms and documents
Insurance Claims: Extract data from medical insurance documents

Implementation Example

const doctorOCR = new DoctorOCRAgent({
  sourceType: "PDF",
  file: medicalDocument,  // File object or path
  googleDriveUrl: "https://drive.google.com/file/d/...", // Optional
  useMultithreading: true,
  processingConcurrency: 4
});

const result = await doctorOCR.processDocument();

// Output:
// {
//   extractedText: "Patient Name: John Doe\nDiagnosis: Hypertension\n...",
//   confidence: 0.96,
//   processingTime: "1.5s",
//   detectedTerms: ["hypertension", "medication", ...]
// }

Useful Resources

Best Practices

Use high-quality scans of medical documents
Enable multithreading for large documents
Regularly update medical terminology database
Verify extracted data for critical information
Follow healthcare data privacy regulations

Documentation