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Image to Text

  • Updated

How to Convert an Image to Text in Kadal

 

The Image-to-Text tool allows users to extract and process textual information from images using advanced AI models.

This feature supports multiple functionalities, including:

  1. Optical Character Recognition (OCR): Extracts readable text from scanned documents, screenshots, or photos.
  2. Image Description: Generates a concise, context-aware summary of the image’s content.
  3. Alt Text Generation: Creates descriptive alternative text for improved accessibility and SEO optimization.
  4. Meta Tagging & Categorization: Classifies images based on extracted text and content characteristics. By leveraging AI-powered text recognition, this tool simplifies data extraction and enhances accessibility, making it a valuable asset for content creators, researchers, and businesses.

 

Steps:

  1. Access the Tool:
    • Navigate to the AI Services section.
    • Click on the “Image to Text” card.
  2. Upload an Image:
    • Under Input Settings, click + “Add Image” to select the image file.
    • Supported formats: JPEG, PNG, BMP, and TIFF.
  3. Select Processing Options:
    • Image Description: Enables AI-generated context-based descriptions of the image.
    • Optical Character Recognition (OCR): Extracts text from the image for further processing.
  4. Under the Advance setting, choose Alt Text Length:
    • Select the preferred length for automatically generated alt text (word count).

Note: Alt Text Length Considerations: 

      • Short: Ideal for quick descriptions.
      • Medium: Provides slightly more context. 
      • Detailed: Best for accessibility compliance.
  1. Select AI Model:
    • Choose from available AI models for text extraction and processing (e.g., GPT, Gemini, LLaMA).
  2. The pre-configured prompt remains as is to ensure optimal performance.
  3. Provide Context (Optional):
    • Add additional context or instructions to refine output accuracy.
    • Suggested inputs: industry-specific terminology, formatting preferences, or specific extraction focus areas.
  4. Generate Output:
    • Click “Generate” to process the image and extract text-based outputs.

 

Understanding the Output

The Image-to-Text tool generates multiple output components, each serving a distinct purpose:

  1. Uploaded Image: Displays a preview of the original image uploaded for processing.
  2. Alt Text: Provides a concise description of the image for accessibility purposes.
  3. Description: Generates a more detailed AI-driven summary of the image’s visual content.
  4. OCR Text: 
    • Extracts and displays all readable text found within the image.
    • Useful for scanned documents, signs, handwritten notes, or printed materials.
  5. Meta Tags: AI-generated keywords that classify and enhance searchability.
  6. Category:
    • Assigns the image to a predefined category based on content analysis.
    • Example: Education, Literature, Workspace
  7. Once processing is complete, users can download the extracted text and metadata.
  8. Click the Download icon at the top-right corner of the page.

 

Best Practice:

  • Use High-Resolution Images: Ensure text is clear and legible to improve OCR accuracy.
  • Avoid Noisy Backgrounds: Images with clean, high-contrast text yield better results.
  • Choose the Right Description Length: When generating alt text, select an appropriate length (short, medium, or lengthy) based on the content’s use case.
  • Validate OCR Output: Manually verify extracted text for potential errors, especially for handwritten or stylized fonts.
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