SomeAI.org
  • Hot AI Tools
  • New AI Tools
  • AI Category
  • Free Submit
  • Find More AI Tools
SomeAI.org
SomeAI.org

Discover 10,000+ free AI tools instantly. No login required.

About

  • Blog

© 2025 • SomeAI.org All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
OCR
OCR Using GOT And Tesseract

OCR Using GOT And Tesseract

Extract text from images using OCR

You May Also Like

View All
⚡

Typress OCR Space

Convert images of text into editable text

0
🐠

QwenOCR

Convert images to text using OCR

0
📸

OCR Image To Text

Extract text from images using OCR

18
⚡

PaddleOCR

Extract text from images in multiple languages

15
🔥

EasyOCR

Extract text from images

177
🐠

QwenOCR

Convert images to text

0
🔥

Jinhybr OCR Donut CORD

Extract text from images

0
🐠

QwenOCR

Recognize text from images

0
🚗

South Korean License Plate Recognition

Recognize South Korean license plate numbers

7
🐨

Surya OCR

Surya OCR

0
📈

Manga OCR

Extract text from manga images

9
📷

GOT OCR Transformers

Demo of GOT-OCR 2.0's Transformers implementation

65

What is OCR Using GOT And Tesseract ?

OCR Using GOT And Tesseract is a powerful tool designed to extract text from images using Optical Character Recognition (OCR) technology. It combines the capabilities of two advanced technologies: GOT (a pre-trained model for text detection) and Tesseract (an open-source OCR engine). This combination enables highly accurate text extraction from various types of document images.

Features

• Text Extraction from Images: Extract text from scanned documents, photos, and other image formats. • Multi-Language Support: Recognize and extract text in multiple languages thanks to Tesseract's robust language capabilities. • High Accuracy: GOT's text detection technology ensures that text is precisely identified and localized within images. • Flexibility: Works with various image formats and resolutions, making it suitable for a wide range of OCR applications. • Open-Source: Built on Tesseract, a widely-used and trusted OCR engine, ensuring customizability and community support.

How to use OCR Using GOT And Tesseract ?

  1. Install Dependencies: Ensure you have Tesseract-OCR installed on your system. Install any additional libraries required for image processing and text detection.
  2. Load the Image: Import the image file (e.g., .jpg, .png) from which you want to extract text.
  3. Preprocess the Image: Apply any necessary preprocessing steps, such as converting the image to grayscale or binary, to improve OCR accuracy.
  4. Detect Text Regions: Use GOT to detect text regions within the image. This step ensures that only relevant areas are processed for OCR.
  5. Run OCR: Apply Tesseract to the detected text regions to extract editable text.
  6. Export the Text: Save or display the extracted text for further use.

Frequently Asked Questions

What languages does OCR Using GOT And Tesseract support?
OCR Using GOT And Tesseract supports a wide range of languages, including English, Spanish, French, German, Italian, Chinese, Japanese, and many others, thanks to Tesseract's extensive language support.

Can this tool work with non-Latin scripts?
Yes, Tesseract supports many non-Latin scripts, including Arabic, Hebrew, Russian, and others, making this tool versatile for global use cases.

Why is the combination of GOT and Tesseract better than using Tesseract alone?
The integration of GOT's text detection capabilities ensures that text is accurately identified and localized within images, which improves the overall accuracy of OCR results compared to using Tesseract alone.

Recommended Category

View All
🌜

Transform a daytime scene into a night scene

✨

Restore an old photo

🌈

Colorize black and white photos

🗂️

Dataset Creation

⭐

Recommendation Systems

🔖

Put a logo on an image

🎮

Game AI

🎤

Generate song lyrics

🕺

Pose Estimation

🌍

Language Translation

🤖

Chatbots

🚫

Detect harmful or offensive content in images

🚨

Anomaly Detection

✂️

Background Removal

👗

Try on virtual clothes