Yandex Vision
Yandex Vision OCR recognizes text in an image and outputs it along with automatic punctuation. The service supports and automatically identifies more than 50 languages. Extract standard fields and recognize text in templates and documents, e.g., passports, driver’s licenses, vehicle registration certificates, and license plates. With support for Russian and English, as well as combinations of handwritten and printed texts. The service scans the table structure and outputs text in row and column coordinates. Optical character recognition (OCR), document recognition, and license plate number recognition. Yandex Vision OCR allows you to work with JPEG, PNG, and PDF formats. File sizes should be no larger than 20 MB with no more than 300 pages per file. The service can scan images and find passports from 20 countries, driver’s licenses, vehicle registration documents, and license plates.
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Tencent Cloud OCR
Tencent Cloud Optical Character Recognition (OCR) can automatically locate and recognize text in images. It features robustness and an average accuracy rate of above 95% for printed text and 90% for handwritten text. Developed independently by the Tencent YouTu Lab, OCR covers all core algorithms for identity document analysis and recognition. It supports both landscape and portrait modes, and can be applied in scenarios with perspective distortion, irregular illumination, partial occlusion and more. OCR not only provides developers with a full range of APIs that can be called directly, but also SDKs that are highly compatible and easy to use.It can recognize Chinese text, English text, Chinese/English text, numbers, and special symbols with higher accuracy. It can recognize complex text at higher accuracy and recall rates, making it suitable for scenarios with a large amount of text, long numeric strings, small font, blurry or skewed text, etc.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Dynamsoft Barcode Reader SDK
The Dynamsoft Barcode Reader is an enterprise-grade Barcode Scanner SDK engineered for exceptional performance in real-world scenarios.
Core Capabilities and Performance
The SDK is renowned for its industry-leading speed and accuracy. It can scan over 500 barcodes per minute and is optimized for high-efficiency workflows, including live video streams with multiple codes, PDF files in automated processes, and static images from high-resolution industrial cameras. In benchmark tests, the decoding algorithm demonstrated superior accuracy, recognizing significantly more codes than competing libraries across various image quality types.
Robust Decoding in Challenging Conditions
The software is specifically built to tackle difficult-to-read barcodes, reliably decoding codes that are:
- Physically compromised: Distorted, damaged, blurred, crumpled, or low-resolution.
- Environmentally challenged: In low light, with glare, shadows, or on curved or moving surfaces.
- Orientation
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