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Extract text from scanned documents
SVTR OCR App

SVTR OCR App

Upload images for accurate English / Latin OCR

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What is SVTR OCR App ?

SVTR OCR App is a powerful tool designed to extract text from scanned documents and images. It specializes in accurate English and Latin OCR (Optical Character Recognition), making it ideal for users who need to convert scanned or image-based text into editable formats. The app leverages AI technology to deliver high precision and efficiency, catering to both personal and professional needs.

Features

• Upload and Process Images: Easily upload scanned documents or images for text extraction.
• Multilingual Support: Extract text in English and Latin scripts with high accuracy.
• High Accuracy OCR: Delivers precise text recognition even from low-quality images.
• PDF Compatibility: Works seamlessly with PDF files and scanned documents.
• User-Friendly Interface: Intuitive design for quick and easy text extraction.
• Real-Time Processing: Get instant results with minimal processing time.
• Editable Output: Copy or save extracted text for further use.

How to use SVTR OCR App ?

  1. Download and Install: Get the SVTR OCR App from the app store.
  2. Upload Image: Tap the upload button to select a scanned document or image from your device.
  3. Select Options: Choose the language (English or Latin) and any additional settings if needed.
  4. Process Image: Click the "Extract Text" button to start processing the image.
  5. Retrieve Text: Once processed, the extracted text will appear on the screen.
  6. Copy or Save: Copy the text to clipboard or save it for later use.

Frequently Asked Questions

What languages does SVTR OCR App support?
SVTR OCR App currently supports English and Latin scripts, ensuring accurate text extraction for these languages.

Can I edit the extracted text?
Yes, the extracted text can be copied or saved for editing in other applications like Word or Notepad.

What file formats does SVTR OCR App support?
The app supports JPEG, PNG, BMP, and PDF files, making it versatile for various document types.

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