Document photos and scans
Extract text from clearly printed documents, book pages and information photos, and then manually check paragraphs and punctuation.
OCR text recognition
Picture extraction text: AI recognizes text in pictures
Upload screenshots, document photos, posters or product images to the cloud OCR interface, the recognition results will be displayed in the editable text box, and can be copied after proofreading. The current tool is not responsible for restoring the original layout, nor does it have a text file export function.
Cloud OCRResult manual proofreadingText box copy
Photos of ancient books
Text has been recognized
Suitable for these scenarios
Which pictures are suitable for OCR to extract text?
Web page and App screenshots
Extract copyable text from interface screenshots, chat screenshots, and course images. Be cautious before uploading sensitive content.
Posters and product pictures and copywriting
Extract product specifications, poster titles and operating copy, numbers, prices and units need to be focused on proofreading.
Operation path
How to identify, proofread and copy text
- Upload pictures with clear text and uniform lighting; the pictures will be sent to the cloud OCR interface for processing.
- Click Recognize and wait for the text to be displayed in the result text box.
- Proofread typos, numbers, punctuation, and order line by line, and directly modify and copy the required content.
Recommendations for improving recognition rates and protecting sensitive information
- Pictures taken head-on, with larger text, simple backgrounds, and clear contrast are generally easier to identify.
- Tables, formulas, handwriting, artistic fonts, vertical and multi-column layouts may lose structure or order.
- Sensitive images such as ID cards, contracts, medical records, and account information will be uploaded to the server, and they should be confirmed to be necessary and privacy requirements observed before processing.
Browse all image processing topics
Frequently asked questions
Picture extraction text common problems
Can OCR retain the original layout and tables?
The current results are mainly pure text, which cannot guarantee the retention of fonts, coordinates, tables and multi-column structures, and complex typesetting may cause order changes.
What text is supported for recognition?
The current interface description supports common characters such as Chinese, numbers, and English. The specific recognition effect depends on the font, clarity, and OCR service capabilities.
Are pictures recognized locally?
No. Images are uploaded to the /api/image/ocr cloud interface for identification; use caution when containing sensitive information.