How to Extract Text from Images (OCR) for Free
By Aliyan Sahil ·
Optical character recognition turns a screenshot or scanned page into text that can be copied, searched, and edited.
What is OCR?
OCR (Optical Character Recognition) is a technology that converts images of text into machine-readable text. OCR analyzes the visual patterns in an image and converts recognized characters into editable text that can be copied, searched, and modified. This is useful for digitizing scanned documents, screenshots, and photos containing printed text.
Why use the OCR tool
Typing out text from a photo or scanned document by hand wastes time and introduces errors. The OCR tool reads the characters directly from the image and returns them as editable text within seconds.
Step 1: Upload the image
Go to the OCR tool and upload a screenshot, scanned document, or photo containing printed or typed text. Clearer, higher‑resolution images generally produce more accurate results.
Step 2: Run the extraction
The tool processes the image automatically and displays the recognized text in a panel beside the original, ready for review.
Step 3: Copy or export the result
Select the extracted text to copy it directly, or export it as a plain text file for use elsewhere.
Key Takeaways
• OCR converts printed or typed text in images into editable digital text.
• Best results come from clear, high-resolution images with good contrast.
• Handwritten text is recognized less reliably than printed text.
• Straightening tilted images before upload improves recognition accuracy.
• Good lighting and minimal blur in the original image improve OCR results more than resolution.
Tips
- Straightening a tilted or skewed photo before uploading improves recognition accuracy noticeably.
- Good lighting and minimal blur in the original photo matter more than the overall image resolution.
- Handwritten text is recognized far less reliably than printed or typed text, so results may need manual correction in those cases.