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MathHandwriting is a tool driven by AI that transforms handwritten math equations into digital LaTeX code through an API, creating a link between analog and digital math. It is especially beneficial for students, educators, and researchers regularly handling intricate mathematical notation who wish to simplify the digitization of handwritten solutions for use in publications, presentations, or digital sharing. MathHandwriting allows users to skip the cumbersome and error-prone process of manually typing equations, thereby saving time and boosting productivity while maintaining precision in digital mathematical expressions.

Polycam is a smartphone app for 3D capture that allows users to produce high-quality 3D models from photos using any device and quickly scan spaces with a LiDAR sensor. It also provides the ability to edit 3D captures directly on the device and export them in multiple file formats, share them with friends and the Polycam community, and take measurements and create blueprints.

UBIAI's robust annotation platform offers a quick and effective solution for data labeling, training, and deploying custom NLP models. It includes an OCR Annotation tool for high-quality data labeling, team collaboration, model-assisted labeling, document classification, named entity extraction, multi-lingual annotation, and an OCR annotation tool. UBIAI allows users to streamline their NLP development process by reducing annotation time by 50-80%, lowering costs for testing and validating custom NLP models by 5 times, and decreasing the need for manual annotations by 12 times. It smoothly manages annotation complexities by unlocking data from scanned images and PDF documents. Moreover, UBIAI's auto-labeling function accelerates NLP projects, while its pre-annotation feature helps users kickstart their annotation projects efficiently. Additionally, UBIAI enables users to create training data and export models in various formats, serving as an all-in-one solution for NLP requirements.