Dynamsoft Label Recognition Description
Dynamic Label Recognition SDK locates and extracts key information from a specified region using OCR. It accurately recognizes standard symbols and alphanumeric characters from images with varying backgrounds, fonts, or text sizes.
Dynamsoft Label Recoginizer provides exceptional customizability
1. Sophisticated image pre-processing algorithms
2. Use a regular expression to improve accuracy and robustness
3. Stitch content results from neighbouring video frames
4. Specify an area to OCR texts using a reference region
Dynamsoft Label Recognition Alternatives
PackageX OCR Scanning
PackageX OCR API turns any smartphone into an incredibly powerful universal label scanner. It can read every bit of text, including barcodes, QR codes and other information on the label.
Our OCR technology is the best in the industry. It uses proprietary algorithms and deep learning models to extract information from labels.
Our OCR API has been trained using information from more than 10 million labels. This allows for the highest scanning accuracy in the market, at over 95%.
Our technology can scan in low-light conditions and read labels from any angle.
Create your own OCR scanner app to eliminate pen-and-paper inefficiencies.
Our OCR scanner allows you to extract information from printed text or handwritten labels.
Our OCR software is trained using multilingual label data extracted in over 40 countries.
Detect and extract information from barcodes or QR codes.
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ARGOS Identity
ARGOS is a platform for AI-powered digital identity. We are revolutionizing the way identity is experienced around the world. We create essential identity solutions for individuals and businesses to ensure the security of digital ecosystems worldwide. We provide services that help you identify Anyone, Anywhere, Anytime!
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OpenText Capture Center
OpenText Capture Center, previously known as DOKuStar Capture Suite, employs cutting-edge document and character recognition technology to convert various documents into machine-readable formats. The software effectively extracts data from scanned images and faxes, utilizing advanced techniques like OCR, ICR, and IDR, along with adaptive reading capabilities. By minimizing the need for manual data entry and reducing paper processing, Capture Center streamlines business operations, enhances data accuracy, and offers cost savings. The system also boosts data integrity entering your ECM or ERP platforms through automated rule-based classification, extraction, and verification processes. Additionally, it features one-click and manual exception handling to further elevate precision. OpenText Capture Center efficiently captures and digitizes documents, forms, and faxes from a variety of sources, including high-end scanners, Multifunction Peripherals (MFPs), email servers, Microsoft® SharePoint® servers, and FTP locations, ensuring a comprehensive solution for document management. Ultimately, this powerful tool not only increases productivity but also mitigates the risks associated with data entry errors.
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Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
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Integrations
No Integrations at this time
Company Details
Company:
Dynamsoft
Year Founded:
2003
Headquarters:
Canada
Website:
www.dynamsoft.com/label-recognition/overview/
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Product Details
Platforms
Web-Based
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