Uploaded July 2022 | Updated September 2026, 13 hours ago

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In this video we learn how to extract text from images using python. We compare three popular libraries: pytesseract, easyocr, and keras_ocr. Examples are run in a kaggle notebook on the TextOCR dataset.

Notebook used in the video: kaggle.com/code/robikscube/extracting-text-from-images-youtube-tutorial

Timeline:
00:00 Extracting Text
00:42 TextOCR Dataset
01:31 Outline and Loading Data
04:19 Plotting Text Images
06:12 pytesseract
07:38 easyocr
10:18 keras ocr
13:14 plot comparison
20:00 Results comparison

Follow me on twitch for live coding streams: twitch.tv/medallionstallion_

My other videos:

Speed Up Your Pandas Code: youtube.com/watch?v=SAFmrTnEHLg
Speed up Pandas Code: youtube.com/watch?v=SAFmrTnEHLg
Intro to Pandas video: youtube.com/watch?v=_Eb0utIRdkw
Exploratory Data Analysis Video: youtube.com/watch?v=xi0vhXFPegw

Working with Audio data in Python: youtube.com/watch?v=ZqpSb5p1xQo
Efficient Pandas Dataframes: youtube.com/watch?v=u4_c2LDi4b8

* Youtube: youtube.com/@robmulla?sub_confirmation=1
* Discord: discord.gg/HZszek7DQc
* Twitch: twitch.tv/medallionstallion_
* Twitter: twitter.com/Rob_Mulla
* Kaggle: kaggle.com/robikscube

#python #computervision #deeplearning