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How to Extract Text from Images and PDFs Using OCR

Free OCR guide: extract text from images, screenshots, scanned documents, and PDFs. Supports multiple languages with high accuracy.

5 min read
#OCR#Text Extraction#PDF#Productivity#How-To

OCR Text Extraction

Ever received a scanned document, screenshot, or photo that contains text you need to copy? Optical Character Recognition (OCR) converts images of text into actual editable text.

Here's how to extract text from any image or PDF using razi.pro's free OCR tool.


What is OCR?

OCR (Optical Character Recognition) is a technology that recognizes text within images. It analyzes the shapes of characters in an image and converts them into machine-readable text that you can copy, edit, and search.

Modern OCR engines use AI and machine learning to achieve accuracy rates of 95-99% on clear, printed text.


Common OCR Use Cases

  • Digitizing paper documents — Convert physical documents to searchable digital text
  • Extracting data from screenshots — Copy text from images shared in chat or email
  • Processing scanned invoices — Extract amounts, dates, and vendor names
  • Converting scanned books — Digitize printed books and articles
  • Translating foreign text — Extract text from signs, menus, or documents in other languages

How to Use the OCR Tool

Step 1: Upload Your File

Go to the OCR Tool and upload your image (JPG, PNG, WebP) or PDF file.

Step 2: Select the Language

Choose the language of the text in your document. The tool supports 100+ languages including English, Spanish, French, German, Chinese, Japanese, Arabic, and Hindi.

Step 3: Extract Text

Click "Extract Text" and the OCR engine will process your file. The recognized text appears in an editable text box that you can copy with one click.


Tips for Better OCR Accuracy

Image Quality Matters

  • Resolution: Use images with at least 300 DPI for best results
  • Contrast: High contrast between text and background improves accuracy
  • Lighting: Avoid shadows and uneven lighting in photos
  • Orientation: Ensure text is horizontal and not skewed

Pre-processing Tips

  1. Crop unnecessary areas — Remove borders, images, and decorations around the text
  2. Increase contrast — Make text darker and background lighter
  3. Straighten tilted images — Rotated text reduces accuracy significantly
  4. Use PNG over JPEG — JPEG compression can blur text edges

OCR for Scanned PDFs

Many "PDFs" are actually scanned images — they look like documents but you can't select or copy the text. The OCR tool handles these perfectly:

  1. Upload the scanned PDF
  2. The tool processes each page
  3. Get the extracted text from all pages

For native (digitally created) PDFs, you usually don't need OCR — the text is already selectable.


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Conclusion

OCR technology makes it possible to unlock text from any image or scanned document. Whether you're digitizing paperwork, extracting data from screenshots, or processing scanned books, modern OCR delivers fast, accurate results.

Try it now: Extract Text from Images for Free →

RK

Mohammed Razi Kallai

Senior Software Engineer with 10+ years of experience in full-stack development, cloud architecture, and AI automation.

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