How to Extract Text from Images (OCR) Easily
The Problem with Screenshots
We've all been there: someone sends you a screenshot of an address, a phone number, or a recipe, and you need to copy it. But it's an image. You can't highlight the text, so you resort to manually typing it out, hoping you don't make a typo.
What is OCR?
Optical Character Recognition (OCR) is a technology that analyzes the shapes of letters and numbers in an image and converts them into machine-encoded, editable text. Modern OCR engines use advanced machine learning to recognize various fonts, handwriting, and even text on distorted angles.
Common Use Cases
- Digitizing Documents: Scanning old paper documents, receipts, or business cards into searchable digital text.
- Translating Text: Extracting text from a foreign language sign in a photo to run it through a translation app.
- Data Entry: Automating the extraction of data from invoices and forms.
Browser-Based OCR
With tools like Tesseract.js, you no longer need heavy desktop software. You can upload an image to an online Image-to-Text tool, and the browser will read and output the text directly on your screen in seconds.