cad to vector
CAD to Vector
Say goodbye to manual conversion hassles and hello to seamless, accurate, and lightning-fast transformation of your CAD/JT files into high-quality Illustration vector formats. Our AI platform’s advanced computer vision and NLP engine effortlessly transform complex CAD models into vector graphics and streamline your workflow like never before.
Features
Precision Conversion
Our AI product ensures the precise conversion of intricate CAD designs to vector illustrations, capturing every detail and maintaining the accuracy of your original design.
Never miss a detail
The AI system accurately identifies curves, angles, textures, dots, cut-outs, and even minute-of-the-minute details. Extracted details are stored according to the product and product specifications.
Effortless Automation
Save valuable time and resources with our automated conversion process. No more manual tracing or adjustments are needed – our AI seamlessly handles the conversion, allowing you to focus on more creative tasks.
Multi-Format Support
Whether you work with CAD or JT files, our AI supports a wide range of formats, enabling you to convert various design files into versatile vector illustrations easily.
Impact
Benefits
Time-Efficiency
Reduce the time required for conversion compared to manual methods. Complex CAD designs are swiftly transformed into vector illustrations, enabling you to meet tight deadlines and accelerate project timelines.
Enhanced Creativity
With the manual conversion burden lifted, your creative team can dedicate more time to refining and innovating designs.
Versatile Applications
The accurate vector illustrations produced by our AI can be used for diverse applications, from marketing materials to presentations, websites, and beyond.
Error Reduction
Manual conversion often leads to errors and inconsistencies. Our AI solution ensures a high level of accuracy, eliminating human errors and providing you with flawless vector illustrations that closely resemble the original design.
Cost Savings
You can reduce the operation cost by automating a considerable amount of the conversion process.
Accurate layer information
Retain the details of CAD elements in each layer during the conversion. All the layer information helps you maintain the original CAD file’s hierarchy, structure, and organization.
Blogs
Using AI and Automation in the Finance Back Office
Posted by Recosense | No Comments
With the advent of Artificial Intelligence (AI), Machine learning (ML), Natural Language Processing(NLP), and Robotic Process Automation (RPA), businesses can streamline workflows, cut costs, and foster sustainable growth amid market challenges. Despite advancements in enterprise resource planning (ERP) systems, a substantial portion of finance back-office operations lingers as manual efforts, wasting time and resources. This blog aims to explore the tangible benefits and practical implications of integrating artificial intelligence (AI) and automation into finance back office operations, addressing the hurdles faced by these essential teams. Pain Points for Back Office Finance Teams The daily grind for back … Read More
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How to Spot Fake Bank Statements
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With evolving digital transactions and sophisticated fraud techniques, the need for robust fraud detection mechanisms is equally increasing. One area where this is particularly pertinent is in identifying fake bank statements, a common tool fraudsters use to manipulate financial information. Imagine a slow and error-prone verification process trying to interpret the increasingly sophisticated tactics employed by fraudsters. As these adversaries adapt, the risk of overlooking fake bank statements grows, potentially leading to substantial losses for institutions. A study by CFO states that 70% of financial institutions lost over $500K to Fraud in 2022. Thus, the need for an effective … Read More
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Top Trends in Investment Banking
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The investment banking sector is currently grappling with several challenges. These include dealing with capital charges, digital adoption, rigid cost structure, intricate and layered technological stacks, and increased regulatory demands. As a result, various investment banks shifted their emphasis from conventional underwriting services to concentrate more on alternatives such as mergers and acquisitions and fundraising initiatives. In addition to these challenges, investment banks must address unstructured data and document processing issues such as data volume and variety, data accuracy, privacy, and regulatory compliance. However, the upcoming trends in investment banking will help them address challenges related to data processing efficiency, … Read More
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