Image OCR Text Recognition

Upload images to extract text content, supporting multiple image formats and languages

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Image OCR Settings

Drag and drop image here, or

Recognition Results

Not Processed

Please upload an image and start OCR recognition to view results

1

Select Recognition Language

Select the appropriate recognition language based on the text in the image. Default is English.

2

Upload Image

Drag and drop image to the upload area or click the browse button to select image files. Supports JPG, PNG and other formats.

3

Click the "Start Recognition" button. The system will perform OCR text recognition on the image. If there is a lot of text, recognition will be slower.

4

View Results

After recognition is complete, you can view the recognition results, confidence level and other information, and copy or download the text content.

5

Notes

Higher image quality results in better recognition. If there is a lot of text, recognition will be slower. Please be patient.

Basic Knowledge of OCR Text Recognition

What is OCR?

OCR (Optical Character Recognition) refers to the process of scanning characters and then translating them into electronic text based on their shapes. Simply put, it is the technology to extract text content from images.

How OCR Works

OCR technology typically includes the following steps: image acquisition, image preprocessing (denoising, binarization), text area detection, character segmentation, feature extraction, character recognition, and post-processing optimization, ultimately outputting editable text.

OCR Application Scenarios

Document digitization processing
ID card information extraction
Invoice and receipt automatic entry
Book and newspaper content conversion
Text search within images
Multilingual translation assistance

Supported Languages

This tool supports OCR recognition for multiple languages, including:

English
Simplified Chinese
Traditional Chinese
Japanese
Korean
French
German
Spanish

Tips for Improving OCR Recognition Accuracy

Ensure the image is clear, avoiding blurry or low-resolution images
Try to keep text horizontally aligned, avoiding excessive tilting angles
Select the correct recognition language for optimal results
Ensure sufficient contrast between text and background
For complex documents, try segment recognition to improve accuracy