Application Scenario

Documents Archiving
Extract the text in the image data to provide a basis for subsequent data post-processing (such as retrieval, translation, etc.)
Education and Research
Expedite research processes by extracting text from printed materials and converting it into digital text, aiding in content analysis and information retrieval.
Card information extraction
Extract the key information from the card, such as ID card, driving license, driver's license, bank card, business license, etc.

WebAPI

Printed character recognition
Multilingual image and text recognition, supporting print recognition in 32 languages
Scan recognition
Scanning recognition is suitable for hardware scenarios such as scanner pens and supports 9 languages.

Q&A

 

1.What is OCR, and how does it work?

OCR stands for Optical Character Recognition, a technology that converts different types of documents—such as scanned paper documents, PDFs, or images captured by a digital camera—into editable and searchable data. It works by identifying and interpreting characters within an image, allowing the extraction of text.

2.In what scenarios can OCR be beneficial?

 

OCR is beneficial in various scenarios, including document digitization, automated data entry, language translation, text search in images, receipt etc.

 

3. What languages does OCR support?

Our OCR supports 31 languages, including but not limited to English, Spanish, French, German, Chinese, Arabic, and many more.

4. Could text with rotated directions be recognized ?

 Deflection of the text and the horizontal axis less than ±15° are supported.

5. What's the requirements for pictures to be recognised?

a. Pixel requirements: at least 15px on the shortest side and 4096px on the longest side

b. Size requirement: <4MB

c. Format requirements: JPEG, PNG, BMP

6. How accurate is OCR technology?

OCR technology has achieved high levels of accuracy, especially in recognizing printed text. Accuracy can vary based on factors such as the quality of the input image, the clarity of the text, and the language being processed. Continuous advancements in OCR algorithms contribute to ongoing improvements in accuracy.

 

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