In today's technological and academic research fields, the identification of molecular structures and the extraction of tabular data are indispensable. However, traditional manual processing methods are time-consuming, laborious, and prone to errors. This is especially true in scenarios such as patent applications and scientific paper writing, where processing molecular images and table data can be a cumbersome task.To address this challenge, we present the SciMind API service, developed by ProtonUnfold. By combining advanced image recognition technology and machine learning algorithms, we can quickly and accurately identify molecular structures and table data, significantly improving processing efficiency and accuracy. Additionally, our API effectively handles various complex scenarios, including multi-molecule recognition and extraction of mixed data in tables, providing users with enhanced convenience and options.
Single Molecule Recognition: With our API, you can easily upload single molecular structure images or data and quickly obtain recognition results and related information. Multi-Molecule Recognition: Our API supports batch processing of multiple molecules, allowing you to efficiently handle large amounts of molecular data and improve work efficiency. Table Recognition: In addition to molecule recognition, we also provide powerful table recognition functionality, accurately extracting tabular data from images or documents, bringing convenience to your data processing tasks.Welcome to start using our API service, allowing our technology to bring convenience and efficiency to your work! Explore the power of SciMind, developed by ProtonUnfold, and experience the future of molecular and data recognition technology.
