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Optical Character Recognition

문서Optical Character Recognition

Strengths

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마지막 업데이트 시간: 2026-10-22 14:51:05
AI 번역

Cutting-Edge Algorithms

Leveraging Tencent's powerful deep learning algorithms and leading OCR technology, OCR achieves an average recognition accuracy rate of over 95% for printed text and over 90% for handwritten text. It has an average recognition speed of 2 ms per character for GPU and 6 ms per character for CPU. In addition, its algorithm models are continuously optimized and iterated.

Stable Services

With its high availability and performance proven by massive volumes of end users and complicated application scenarios, OCR has been widely adopted by Tencent's core businesses such as WeChat, QQ, Tencent Social Ads and WeBank as well as prestigious customers like Kuaishou, SF Express, SinoTrans and Dianping.com.

Ease of Use

With a simple and intuitive demo and high compatibility, OCR not only has APIs that can be called directly, but also provides a variety of SDKs for developers.

Wide Range of Application

OCR can recognize printed and handwritten text on dozens of types of cards and documents such as ID cards, road-worthiness certificates, driver's licenses, business licenses, business cards and invoices and offers custom templates for text recognition to meet diverse requirements in different scenarios.

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