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A Beginner’s Guide to JSON Data-interchange Format

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2 minutes, 46 seconds read

JSON stands for JavaScript Object Notation. It is a subset of JavaScript and an efficient way to deal with data over the internet. It is mainly used for exchanging and storing data. JSON organizes the data quite smoothly and enables easy access. Moreover, it collects data in “forms”, which is readable for humans.

In the early 2000s, JSON format was defined by Douglas Crockford. There are certain rules for JSON syntax which we need to follow for efficient performance. These include the use of square brackets, curly brackets, commas, and value pairs or names. When it comes to the data, then it is necessary to be in the form of value pairs or name. Along the same lines, commas separate data; square and curly brackets hold arrays and objects. Let’s dig into JSON a bit deeper.

Why JSON?

JSON is easy for servers as well. Since it deals with the pain text, it makes it easier for servers to interpret data quickly. JSON follows all JavaScript rules and its syntax works impressively on the JavaScript standards. Many people misunderstand JSON as an object. However, it is not true.

Although JSON utilizes JavaScript format, it is a completely different programming language. JSON is responsible for converting data into JS forms of objects in order to store them as text. Besides storing data, you can also use the JSON format for accessing the data.

JSON Formatter

The JSON Formatter is designed to provide the best possible debugging. It is independent and lightweight, which perfectly kicks out the issue of readability. The output from this tool is without link breaks, which saves a lot of device space. JSON Formatter is an amazing online tool that supports all browsers. All you need to do is – submit JSON format file and press enter for output!

JSON formatter

Prettifying JSON Files

There are a number of free online tools to prettify JSON files. To prettify means – making a more readable version of the data. Many people don’t have a firm grip on coding and computer terminologies. If such is the case, you can use online tools for coding and debugging. You can also prettify JSON using the following keys:

OS X: CMD+Ctrl+J

Windows: Ctrl+Alt+J

Linux: Ctrl+Alt+J

Such tools also help in converting files into the desired format. In addition to this, JSON format online provides you lots more facilities to accomplish complex tasks in minimum possible time.

JSON Format Code

Every software has its own extension for storing data and that’s simply JSON. With this extension, you can store or access the written programming code. Application/JSON is used for the Internet Media files, and for the Uniform Type Identifier, public.json is used.

In JSON, users cannot use functions but must mention them as a string. It is possible to convert such strings into functions later on.

JSON Formatter as an Independent Tool

JSON Formatter is an independent tool that provides a new structure to your coding through easy parsing. However, users need to follow all the XML procedures accurately (usually it’s a three-level process) to get full benefits of JSON coding.

You can also use online resources like JsonOnline.net to view, edit, format, and transform different JSON documents.


About the author: Urooj Ashraf is the reputation Manager at TurboRankers and has previously worked as Article writer on freelancing platforms. She’s an expert in inbound marketing, WordPress Development and lead generation. Urooj is also an author at daayri.com. Contact her.


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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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