What Is OCR?
OCR (Optical Character Recognition) reads text from images and converts it into editable, searchable, copy-paste-able text. Modern OCR uses machine learning to recognize printed text, handwriting, and multiple languages.
How to Extract Text from an Image
- Open minifypic.com/image-to-text
- Upload your image (JPEG, PNG, WebP)
- Wait 2-5 seconds for OCR processing
- Review extracted text in the editable text box
- Copy to clipboard or download as .txt
Accuracy by Image Type
| Image Type | Accuracy | Notes |
|---|---|---|
| Screenshots (digital text) | 99%+ | Near-perfect |
| Scanned documents (printed) | 95-99% | Very good at 300 DPI |
| Photos of printed text | 90-97% | Depends on lighting |
| Whiteboard photos | 85-95% | Varies with handwriting |
| Handwritten notes | 70-90% | Depends on legibility |
Tips for Better Accuracy
- Even lighting — No shadows across text
- Shoot straight-on — Not at an angle
- Higher resolution — More detail = better OCR
- Crop first — Use Image Cropper to remove noise
- Increase contrast — Use Image Filters for faint text
Making Scanned PDFs Searchable
Use OCR PDF to add a searchable text layer to scanned PDFs — visual appearance stays identical, but text becomes selectable and searchable.
FAQ
Q: Is OCR 100% accurate? A: For clean printed text, 95-99%. Always review and correct the output.
Q: What languages does OCR support? A: 100+ languages including English, Hindi, Tamil, Bengali, Spanish, French, Chinese, Japanese, Korean, and Arabic.
Q: Can I extract text from a PDF? A: Yes. Use OCR PDF to make scanned PDFs searchable.
