Document capture with BLU DELTA AI
In recent years, digitization has rapidly gained importance in almost every area of everyday private and professional life, including the securing, forwarding and retrieving of a wide variety of documents. And that’s exactly where we come in: We support you with digital document capture so that you can extract information from different sources quickly and precisely and make it available for further processing. Because at a time when the volume of business documents is growing exponentially, traditional methods of capturing documents are often no longer sufficient – in any case, significantly less efficient.
However, most companies are faced with the challenge of processing large amounts of data while minimizing errors and maximizing efficiency. And that’s exactly where we come in with our innovative solution: BLU DELTA uses advanced AI technology and revolutionizes the way you can capture and digitize a wide variety of documents and then extract all the data. With the help of modern algorithms and learning systems, we take the accuracy and speed of document processing to a new level.
This makes document capture and processing not only faster and more accurate, but also future-proof and adaptable to the constantly changing requirements of modern companies.
Table of Contents
- Basics of document capture
- Introducing our AI document capture technology
- Variants of document capture with BLU DELTA
- Seamless integration and continuous improvement of document digitization
- Future of document capture – continuous development and innovation
- Conclusion
- FAQ: Frequently asked questions about document capture with our software
Basics of document capture
Document capture is the process of extracting information from physical or digital documents and converting it into an electronic format. This can be done through manual data entry, scanning, and using technologies such as Optical Character Recognition (OCR). The captured data can then be stored in databases, analyzed, or used for various business purposes.
Document capture plays a crucial role in companies as it forms the basis for numerous business processes. From invoice processing to contract management to customer communication, the efficiency of these processes depends largely on the quality and speed of document capture. Incorrect or slow data capture can lead to delays, additional costs, and even legal problems. It is therefore essential that companies rely on accurate and reliable document capture methods.
Traditional methods of document capture
Traditional methods of capturing and digitizing documents include manual data entry and the use of scanners combined with OCR technology (What is OCR?).
- Manual data entry: Manual data entry involves employees entering information directly from documents into electronic systems. This is often time-consuming and prone to errors, especially with large amounts of data or complex documents.
- Scanners and OCR: An evolution of manual entry is the use of scanners combined with OCR software that can convert printed text into machine-readable text. This method is faster than manual entry and reduces the risk of input errors, but it is limited in recognizing complex or difficult-to-read documents.
Challenges of traditional methods
Despite the advances that traditional methods such as OCR have brought, there are still significant challenges with non-AI document capture methods:
- Time-consuming and prone to errors: Manual processes are time-consuming and prone to human error. Even small inaccuracies can lead to significant problems, especially when the data is used in critical business processes.
- Limited flexibility in processing different document types: Traditional systems often reach their limits when it comes to processing a variety of different document types. OCR systems, for example, rely on clearly structured text and can fail with complex or poorly readable documents. Document classification is also difficult here, which is reliably possible with an AI-supported solution such as BLU DELTA’s.
Introducing our AI document capture technology
Our architecture makes it possible to digitize every document
As already mentioned in the approach, BLU DELTA relies on advanced AI technology that was specifically developed for (automated) document capture. Unlike traditional methods, BLU DELTA uses specialized algorithms that are able to recognize complex patterns in documents and accelerate relevant data extraction. BLU DELTA’s architecture is designed to continuously improve by learning from new data and constantly optimizing its recognition capabilities. The software combines machine learning, deep learning, natural language processing (NLP) and large language models, so that BLU DELTA is able to process even the most demanding document formats. Put very simply, it is an innovative, modern enhancement of an OCR system for invoices, contracts and many, many other documents.
And yet the solution for intelligent document capture is flexible enough to adapt to different industry requirements. At the same time, we of course guarantee the necessary stability to ensure high recognition accuracy at all times.
The BLU-DELTA solution offers you these advantages
BLU DELTA offers numerous advantages over traditional methods of document capture:
- High recognition accuracy and efficiency: Thanks to the advanced algorithms and continuous improvement of AI, BLU DELTA achieves an exceptionally high recognition accuracy. This reduces the need for manual checks and corrections and significantly increases efficiency.
- Flexibility and adaptability of AI: Our software is able to adapt to different document types and industry requirements. The AI continuously learns from new data and improves its recognition capabilities so that it is always at the cutting edge of technology.
From individual item capture with OCR to LLM document capture, we take the digitization and processing of documents and their contents to a new level.
Variants of document capture with BLU DELTA
Instant document capture for known document types
BLU DELTA is a ready-to-use, state-of-the-art document capture solution for companies whose document types already exist in the database.
- Use of shared intelligence methodology: This methodology uses knowledge gathered from a large number of documents from different customers to maximize recognition accuracy.
- Fast setup and immediate use: After a short setup, our AI solution can be used immediately. This allows companies to benefit from the advantages of AI-powered document capture without long waiting times or extensive training.
- Benchmark tests for recognition rates: To check the efficiency of document capture, BLU DELTA offers benchmark tests. These provide precise data on recognition rates and help companies to better assess the benefits of the solution.
Document capture for special cases with existing training data
Not all document types are standardized, and some companies have very specific document capture requirements. For these special cases, BLU DELTA offers the possibility to adapt the AI with existing training data.
- Adaptation and training of specific document types: Companies can upload their own document types and train BLU DELTA on them. This ensures that even unusual or specially formatted documents are correctly recognized and processed.
- Upload sample data via the Learn API: Companies can upload their sample data via the Learn API, which is then used to improve the AI. This enables quick and efficient adaptation to specific requirements.
- Optimization of recognition quality by experts: BLU DELTA also offers support from experts who analyze the training data and further optimize the recognition quality. This achieves maximum precision.
Document capture for unknown document types without training data
In case companies do not have training data available for their specific document types, BLU DELTA offers comprehensive support in creating and annotating this data.
- Support in creating and annotating training data: BLU DELTA helps companies to create the necessary training data and annotate it precisely. This is particularly important to ensure high recognition accuracy.
- Ensuring high recognition rates through precise data annotation: Precise annotation of the data ensures that the AI learns the right patterns during training. This leads to significantly better recognition rates and more reliable document processing.
Seamless integration and continuous improvement of document digitization
Integration into existing workflows is easily possible
One of the biggest challenges when adopting new technologies is integrating them into existing systems and workflows. However, BLU DELTA is designed to fit seamlessly into existing business processes.
- Easy to integrate: Our document capture AI can be easily integrated into existing systems without the need for extensive customization or expensive implementation projects. This minimizes the effort and risks involved in adoption.
- Use automatic corrections to improve recognition: BLU DELTA uses a learning system that automatically learns from corrections made over time. These corrections are used as new training data to continuously improve recognition accuracy.
Quality assessment and optimization
Precise document capture requires reliable test data and continuous optimization.
- Importance of reliable test data: The quality of the test data is crucial for assessing the efficiency and accuracy of document capture. We are happy to assist you with our know-how in creating and using high-quality test data.
- Advice for precise recognition rates and increased efficiency: Companies that want to maximize the efficiency of their document capture can benefit from BLU DELTA’s expertise. Targeted advice and support with optimization can achieve significant improvements in accuracy and efficiency.
Future of document capture – continuous development and innovation
The future of document capture lies in the continuous development and innovation of technologies.
- Potential innovations and their impact: BLU DELTA could rely on the use of multimodal Large Language Models (LLMs), which can process both image and text data simultaneously. This technology opens up completely new possibilities in document capture and enables even more precise and efficient data processing.
- Use of multimodal Large Language Models: The use of these models makes it possible to better understand and analyze complex relationships between text and images in documents. This is particularly useful when processing documents that contain both text and image information, such as invoices, technical drawings or contracts.
- Agent systems based on LLM: Agent systems consist of autonomous units, known as agents, that perform operational tasks in a digital environment. An agent can collect information, make decisions and react to its environment without direct human guidance. Each agent corresponds to an LLM specialist who takes on specific tasks. In combination with document capture, this means that other important process steps (sub-steps of a workflow) can be automated, taking company data (e.g. master data) into account.
- Vision for the future role of document capture: The integration of LLMs and other advanced technologies into document capture will fundamentally change the role of these processes in companies. In the future, document capture processes could be fully automated and almost error-free, which would further increase efficiency and significantly reduce costs.
Conclusion
Document capture is an indispensable part of modern business processes. With BLU DELTA’s advanced AI technology, companies can significantly improve these processes. The solution not only offers high recognition accuracy and efficiency, but is also flexible and adaptable to different requirements. By integrating BLU DELTA into existing workflows, companies can benefit from continuous improvement in recognition accuracy while preparing for future challenges.
BLU DELTA sets new standards and goes far beyond simply digitizing a document. We offer a future-proof solution that meets the growing needs of modern companies.