The Evolution of Software Development, from Basic to ChatGPT
The Art of Creation
Software development… This process often begins with a market need. It’s discussed internally and then translated into a set of requirements for the software developer. That developer draws inspiration from these requirements. This “inspiration aspect” might sound poetic—especially if you’re just looking for practical software development or a developer for your custom solution. But realize this: software development is a dance between logic and creativity. It’s a craft EasyData has mastered for decades. Our customers and our willingness to think outside the box led us to develop technical drawing recognition, which continues to evolve based on client feedback.
Software Development at EasyData
What began with pioneering work in the scanning and data capture industry has grown into an international software development firm specializing in data science. Over the past 25 years, EasyData’s technical experts have become specialists in machine learning (ML) and large language models (LLMs). Where software development once focused on scanning and recognizing invoices, today’s solutions go far beyond.
How It All Began
EasyData’s story started in the late 1990s, when the scanning and data capture industry was still in its infancy. Digitizing documents using office printers with scanning capabilities was revolutionary. Back then, OCR (Optical Character Recognition) was the standard. Simple text recognition transformed how businesses handled administration—invoices, forms, and contracts could suddenly be processed digitally. But OCR had limitations: it recognized text but couldn’t interpret meaning. This became EasyData’s first challenge.
Machine Learning Transforms Software Development
With machine learning algorithms, software development has completely changed. You can even ask ChatGPT to write code—with spectacular results. Thanks to this breakthrough, data isn’t just recognized; it’s understood. A unique query to ChatGPT, DeepSeek, or a similar platform can significantly accelerate development. We offer this technology both in our cloud and offline in your own fully secured environment.
ChatGPT can assist with coding, but its real power lies in revealing patterns in documents or data.
A Revolution in Automated Document Processing
Thanks to EasyData’s developers, you now have access to a platform where these algorithms work specifically for your industry. You can upload large volumes of documents in one go—and the software doesn’t just extract text but analyzes context. This is document processing as it was meant to be.
This evolved model represents a revolution in automation. Where you once had to manually verify data, the software now handles it independently.
Because innovation shouldn’t just solve problems—it should redefine what’s possible.
Experience the future of document processing—try EasyData today.
EasyData Saw an Opportunity
Giving meaning to recognized text is no simple task. It requires not just expertise in image recognition but also in pattern detection and—for instance—financial data analysis. This brings today’s software development to new frontiers, leveraging approaches like Proximal Policy Optimization (PPO), Natural Language Processing (NLP), and similar algorithms.
Among these “similar algorithms,” another major breakthrough emerges: the rise of Large Language Models (LLMs). These models bring developers and users alike to an entirely new level of document understanding. EasyData’s specialists recognized this potential early. We now harness LLMs not just to interpret text but to answer questions and generate summaries. These unprecedented capabilities—enabling faster, more precise work—are now available as ready-to-deploy solutions!
From Invoice Recognition to Data Science Pioneering
Machine learning changed everything. With today’s technology, data isn’t just recognized—it’s comprehensively understood. Patterns in documents become visible and can be classified independently.
EasyData’s developers create algorithms that analyze both text and context, revolutionizing automated document processing. Where manual verification was once necessary, software now handles it autonomously.
The next leap? Natural Language Processing (NLP). Our clients’ documents often contain complex linguistic structures, demanding innovative techniques. By training models to grasp nuances in language, we enable automated classification and analysis of contracts, reports, and other business documents—distilling critical information from the trivial.
Collaboration Drives Development
At EasyData, software development is a team effort. Our engineers work closely with Support, Consultants, and Marketing, ensuring solutions are not just technically advanced but practically actionable. Customer feedback is the cornerstone of this process—because the best software grows from real-world needs.
We don’t just build tools. We build understanding.
Discover how LLMs and NLP can transform your workflows—explore EasyData’s solutions today.
Software Development at EasyData: In Summary
The strength of EasyData lies in our ability to apply technical expertise. We combine decades of experience in data capture with cutting-edge innovations in machine learning (ML) and artificial intelligence (AI). You’ll find our software solutions across industries—from financial institutions to healthcare organizations. Wherever documents need processing, EasyData delivers intelligent document software solutions.
Document Software—What Is It?
Document software is best described as a specialized development focused on capturing, processing, managing, and analyzing documents and textual data. In today’s landscape, this includes technologies like:
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OCR (Optical Character Recognition) – for text extraction
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Machine Learning – for pattern detection
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Natural Language Processing (NLP) – for contextual understanding
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Large Language Models (LLMs) – for advanced interpretation
These tools work together to automatically recognize, structure, and comprehend documents—turning raw data into actionable insights.
Because documents shouldn’t just be stored—they should work for you.
See how EasyData’s document solutions can streamline your workflows.
Open Source Software Development
Open source software development has seen explosive growth in recent years. This means developers worldwide collaborate to create powerful, accessible, and transparent AI solutions. The market and public continue to be amazed by the practical applications of popular frameworks like TensorFlow, PyTorch, and Scikit-learn—fully developed technologies available to anyone working with machine learning.
However, not all new techniques follow this open model.
The Benefits of Open Source Machine Learning
The advantages of open source ML algorithms are clear:
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Accelerated innovation – Developers share knowledge, fill gaps, and build on each other’s work without starting from scratch.
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Rapid progress & adoption – From advanced computer vision to natural language processing, open source applications are limitless, driving adoption across industries.
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Transparency & trust – As AI integrates into critical systems, open source allows auditing algorithms for reliability and ethical implications, reducing biases.
EasyData’s Open Source Approach
We leverage these developments by integrating open source technologies. By harnessing community-driven innovation, we stay at the forefront of machine learning while enhancing our data science and document processing expertise with open source’s flexibility and scalability.
The Future of Open Source ML
With more powerful hardware, advanced algorithms, and a growing community, the technology evolves at breakneck speed. EasyData actively tracks these advancements, contributing to solutions that help businesses work smarter and more efficiently.
Open source isn’t just code—it’s collective progress.
Discover how EasyData combines open source power with enterprise-ready solutions.
Looking Ahead
The future of software development in our field of Data Science remains dynamic and full of growth potential. In our view, the role of AI and Machine Learning is only just beginning to gain momentum.
At EasyData, our software developers stay ahead of the curve by investing in research and continuous innovation. We keep experimenting with new algorithms and techniques—because that’s our passion and aligns with our mission:
To develop software that helps businesses work smarter and more efficiently.
The evolution won’t slow down, and neither will we.
Join us in shaping the future—explore EasyData’s cutting-edge solutions today.