OCR Image To Text And Document Search

What is OCR Image To Text And Document Search ?

OCR Image To Text And Document Search is a powerful tool designed to extract text from images and enable keyword searches within those documents. It leverages Optical Character Recognition (OCR) technology to convert scanned or photographed text into editable and searchable digital text. This tool is ideal for digitizing documents, archiving records, and streamlining workflows by making uneditable text sources accessible and usable.

Features

• Text Extraction: Convert images of text (e.g., scanned documents, photos, or screenshots) into editable digital text.
• Document Scanning: Built-in scanning capabilities to capture high-quality images for OCR processing.
• Multi-Language Support: Recognize and extract text in multiple languages.
• Keyword Search: Search for specific words or phrases within extracted text.
• Document Export: Save extracted text in various formats such as .txt, .docx, or .pdf.
• Cloud Sync: Store and access your converted documents across devices.

How to use OCR Image To Text And Document Search ?

1. Upload or Capture Image: Import an image containing text or use the built-in scanner to capture a new image.
2. Process Image: Initiate OCR processing to extract text from the uploaded or captured image.
3. Search Keywords: Use the search bar to find specific keywords or phrases within the extracted text.
4. View Results: Review the search results and export the text if needed.

Frequently Asked Questions

What file formats does OCR Image To Text And Document Search support?
OCR Image To Text And Document Search supports common image formats like JPG, PNG, and BMP for input, and outputs text in formats such as .txt, .docx, and .pdf.

Can I search for text in multiple languages?
Yes, OCR Image To Text And Document Search offers multi-language support, allowing you to extract and search text in various languages.

How can I improve the accuracy of text extraction?
Ensure high-quality images with clear text, avoid blurry or skewed images, and confirm that the language is supported.