Prompt

How do I extract text from JPG and PNG files with OCR?

Artificial Intelligence / Computer Vision1 observationLast seen Oct 11, 2026

Latest observation

Oct 11, 2026OpenAI APIWeb search: off

You can extract text from JPG and PNG images using OCR (Optical Character Recognition).

Common ways to do it

1) Python with Tesseract

Install:

pip install pytesseract pillow

You also need the Tesseract OCR engine installed on your system:

  • Windows: install from the Tesseract installer
  • macOS: brew install tesseract
  • Ubuntu/Debian: sudo apt install tesseract-ocr

Example:

from PIL import Image
import pytesseract

img = Image.open("image.jpg")
text = pytesseract.image_to_string(img)
print(text)

For PNG, use the same code:

img = Image.open("image.png")
text = pytesseract.image_to_string(img)
print(text)

2) Python with OpenCV + Tesseract

Useful if you want to preprocess the image first for better accuracy.

pip install opencv-python pytesseract

Example:

import cv2
import pytesseract

img = cv2.imread("image.jpg")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
text = pytesseract.image_to_string(gray)
print(text)

3) Online OCR tools

If you don’t want to code, you can use web tools like:

  • Google Drive OCR
  • Adobe Acrobat online OCR
  • OnlineOCR.net

4) Cloud OCR APIs

For higher accuracy and production use:

  • Google Cloud Vision
  • AWS Textract
  • Azure Computer Vision

Tips for better OCR accuracy

  • Use clear, high-resolution images
  • Crop to the text region
  • Convert to grayscale
  • Improve contrast
  • Remove noise
  • Rotate/deskew if needed

Example preprocessing:

import cv2
import pytesseract

img = cv2.imread("image.png")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 150, 255, cv2.THRESH_BINARY)[1]
text = pytesseract.image_to_string(thresh)
print(text)

If you want, I can also show you:

  1. how to do OCR on multiple images in a folder, or
  2. how to extract text from images in a PDF.

Observation history

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