Polycam
|
Tags
|
Pricing model
Upvote
1
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.
Similar neural networks:
Upvote
0
Docsumo is a document processing tool driven by AI that automates the extraction of data from diverse unstructured documents like invoices, financial statements, and contracts. It leverages Intelligent OCR and machine learning to precisely capture text and data from scanned documents, PDFs, and images. Various industries might adopt Docsumo to enhance efficiency, minimize errors, save time and costs tied to manual data entry, and simplify their document processing workflows. The software's adaptability, scalability, and integration capabilities make it appealing for organizations seeking to automate and enhance their document management processes.
Upvote
0
Receipt-AI is a tool for managing receipts that leverages AI technology to save users 95% of their time. Users can simply photograph their receipt and upload it, removing the necessity to manually enter details. It supports bulk uploads and allows CSV downloads. Additionally, it enables users to connect to their Xero account to extract essential data from receipts. The service is currently offered in the US and Canada, with future expansion to other countries planned.
Upvote
0
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.