Overview
Optical Character Recognition (OCR) transforms text images into editable text format, enabling the recognition of printed or handwritten content from various documents like cards, certificates, and receipts. Additionally, it offers customization options to tailor the OCR process to specific needs, facilitating faster and more efficient data entry.
Benefits
High Accuracy
Automatically detect text within images, achieving an average accuracy rate exceeding 95% for printed text and 90% for handwritten text.
High Versatility
This solution encompasses fundamental algorithms for analyzing and recognizing identity documents. It accommodates both landscape and portrait orientations and is applicable in scenarios featuring perspective distortion, varied lighting conditions, and partial obstruction.
Ease of Use
Offer developers a comprehensive suite of APIs for direct invocation, alongside SDKs that are highly compatible and user-friendly.
Features
General Print Recognition
OCR functionality facilitates the identification and interpretation of text within images, offering extensive versatility:
- Recognize text in 19 languages, including Chinese, English, Japanese, Korean, Spanish, French, German, Portuguese, and any language supported alongside English.
- Automatically detect the language and provide the text along with textbox coordinates.
- Provide support for automatic skew correction.
General Print Recognition (High-Precision)
- Accurately identify general text in Chinese, English, or both languages, as well as digits and special symbols.
- Achieve superior accuracy and recall rates in recognizing complex text, particularly in scenarios involving extensive text, long numeric strings, small fonts, and blurred or skewed text.
Malaysian ID Card Recognition
- The system can identify text and extract organized fields like identification number, name, gender, and address.
- It can also recognize various types of identification cards, including MyKad, MyPR, MyTentera, MyKAS, POLIS, and i-Kad.
- Additionally, it offers support for cropping passport photos.
Hong Kong (China) ID Card Recognition
- Utilize text recognition to extract structured data fields, including names in both Chinese and English, telegraph codes, date of birth, gender, date of issuance, and ID numbers.
- Additionally, identify permanent residents for archival purposes.
Passport Recognition
- Utilize text recognition to extract structured data fields from documents, including passport ID, name, date of birth, gender, expiration date, issuing country/region, and nationality.
- Additionally, offer support for cropping passport photos.
Scenarios
Identity Recognition
Passport Recognition
Inappropriate Text Recognition
Image-to-Text for Publications
In the financial sector,
OCR facilitates ID card recognition in banking, insurance, securities, and other situations necessitating identity verification. This minimizes the burden of data entry and enhances user experience.
In the Internet industry,
OCR serves to authenticate the identities of hosts and passengers in contexts like live streaming and e-hailing, thereby mitigating the potential for infringements and criminal activities.
In international travel scenarios,
OCR technology aids users in swiftly verifying their identities at locations such as hotels, border checkpoints, customs, and airports, thereby enhancing the overall user experience.
In the education industry,
OCR facilitates institutions such as overseas consulting services and schools in efficiently obtaining students’ identity details, thereby reducing the burden of manual data entry and enhancing operational efficiency.
In the realm of e-commerce, OCR technology can intelligently detect text within advertisements, enabling the filtering of inappropriate content and minimizing the risk of policy violations.
For video content, OCR can swiftly identify subtitles, allowing for the assessment of textual appropriateness.
In traditional news media, OCR technology streamlines the process of converting numerous paper documents into editable text, thereby simplifying text formatting and enabling efficient information retrieval.
For images featured in publications, OCR capabilities enable the conversion of images into editable text, effectively lowering labor expenses associated with categorization and retrieval tasks.
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