Unleashing Labels AI: Streamlining Document Processes with Scan2x

Document management technology is evolving at an unprecedented pace, and Scan2x is at the forefront of this innovation. The latest breakthrough from Scan2x is the introduction of Labels AI, a feature that propels document scanning and processing to the next level. Labels AI offers unparalleled flexibility and efficiency, making it easier and faster to handle a variety of documents without the need for pre-configuration or predefined templates. 

Labels AI: A Revolutionary Approach

Labels AI is a game-changer in the realm of document capture. Unlike traditional AI features that rely on pre-configured templates or those automatically created by AI, Labels AI dynamically generates a metadata field list for each document. This means it can handle any document type and format, regardless of how often it is used within the company. 

One of the most significant advantages of Labels AI is its ability to process and extract relevant data from any document without prior knowledge of its structure. Users can introduce any type of document, even those that are rarely used or completely new to the system.  

Labels AI will analyse the content, identify the necessary data, and populate the metadata fields accordingly. This eliminates the hassle of manually creating templates for seldom-used documents, saving time and reducing the likelihood of errors. 

Do you want to learn more? Request a free demo today!

Download a free trial version of the Scan2xWindows installation by filling out the form below and clicking the download button. The trial license is a full 60-day licence. An email with an activation key will be sent to you immediately after downloading.

Normal A.I. Features vs. Labels A.I.

To better understand the innovative capabilities of Labels A.I., it’s helpful to compare it with the traditional A.I. features.

Normal AI Features

  • Specific Document Types: Traditional AI features are designed to handle specific types of documents, such as invoices, contracts, and identification documents. These systems are trained on these specific documents to extract relevant data accurately. 
  • Predefined Templates: Through the use of AI, the system creates a template automatically. This template is structured using a predefined collection of metadata fields used to organise and categorise the information extracted from the document. 
  • Consistent Metadata Fields: The metadata fields have consistent titles or labels within the automatically created template, such as “Date,” “Client Name,” etc. However, the terminology used within the documents can differ, requiring the AI to recognise and map different terms or phrases to the appropriate metadata field. 
  • Data Analysis and Extraction: As it processes each new document, the system analyses and extracts data based on the predefined template, which works well for documents the system is familiar with but can be limiting for new or rarely used documents.

Normal A.I. Features vs. Labels A.I.

To better understand the innovative capabilities of Labels A.I., it’s helpful to compare it with the traditional A.I. features.

Normal AI Features

  • Specific Document Types: Traditional AI features are designed to handle specific types of documents, such as invoices, contracts, and identification documents. These systems are trained on these specific documents to extract relevant data accurately. 
  • Predefined Templates: Through the use of AI, the system creates a template automatically. This template is structured using a predefined collection of metadata fields used to organise and categorise the information extracted from the document. 
  • Consistent Metadata Fields: The metadata fields have consistent titles or labels within the automatically created template, such as “Date,” “Client Name,” etc. However, the terminology used within the documents can differ, requiring the AI to recognise and map different terms or phrases to the appropriate metadata field. 
  • Data Analysis and Extraction: As it processes each new document, the system analyses and extracts data based on the predefined template, which works well for documents the system is familiar with but can be limiting for new or rarely used documents.

Labels AI Feature

  • Dynamic Metadata Field Generation: Labels AI operates without the need for preconfigured or automatically created templates. It can handle any document type or format dynamically, recognising and generating the necessary metadata fields on the fly. 
  • No Limitations to Predefined Metadata Lists: Unlike traditional AI features, Labels AI does not rely on a predefined list of metadata fields. It can extract all relevant content from the document, ensuring no vital information is missed. 
  • Seamless Handling of Various Document Types: This feature allows for the seamless processing of a wide range of document types without prior setup or manual intervention. Labels AI adapts to each new document, extracting data dynamically and efficiently. 
Labels AI
Labels AI

Labels AI Feature

  • Dynamic Metadata Field Generation: Labels AI operates without the need for preconfigured or automatically created templates. It can handle any document type or format dynamically, recognising and generating the necessary metadata fields on the fly. 
  • No Limitations to Predefined Metadata Lists: Unlike traditional AI features, Labels AI does not rely on a predefined list of metadata fields. It can extract all relevant content from the document, ensuring no vital information is missed. 
  • Seamless Handling of Various Document Types: This feature allows for the seamless processing of a wide range of document types without prior setup or manual intervention. Labels AI adapts to each new document, extracting data dynamically and efficiently. 

Real-World Example

Consider a scenario in a legal firm where numerous contracts of varying formats and terminologies are processed daily. 

Using traditional AI features, each type of contract would need a predefined template, which requires initial setup and might not cover all variations in terminology. For instance, different contracts might refer to the contract date as “Date,” “Agreement Date,” or “Signing Date.” The traditional AI would need to map each of these terms to a single metadata field, which could be cumbersome and time-consuming. 

With Labels AI, the process becomes significantly simpler and more efficient. The system dynamically generates the necessary metadata fields, recognising and extracting terms like “Date,” “Agreement Date,” or “Signing Date” without needing pre-configuration. This not only speeds up the document processing but also ensures that all relevant data is accurately captured, regardless of the document’s format or terminology. 

Would you like to discover our success stories and real-world examples? Explore our case studies here. 

The Efficiency Edge with Labels AI

The primary advantage of Labels AI lies in its ability to eliminate the need for manual intervention and pre-configuration. Users no longer need to spend time creating and maintaining templates for different document types. This is particularly beneficial for documents that are used infrequently, as it saves the user from the hassle of setting up templates that might only be used a few times. 

Moreover, the dynamic nature of Labels AI ensures that the system remains flexible and adaptable, capable of handling new and unfamiliar document types with ease. This level of innovation is what sets Scan2x apart in the field of document management. 

Conclusion

Scan2x’s Labels AI feature represents a significant leap forward in document scanning and processing technology. By removing the need for pre-configured templates and dynamically generating metadata fields for each document, Labels AI offers a faster, easier, and more efficient way to manage scanning jobs. This next-level innovation ensures that all relevant data is captured accurately and effortlessly, regardless of the document’s type or format. 

As organisations continue to face the challenges of handling vast amounts of documents, Scan2x’s Labels AI provides a powerful solution that enhances efficiency, reduces errors, and simplifies the entire process. With Scan2x, next-level actions are not just a promise—they are a reality. 

Do you want to learn more? Request a free demo today!

Download a free trial version of the Scan2xWindows installation by filling out the form below and clicking the download button. The trial license is a full 60-day licence. An email with an activation key will be sent to you immediately after downloading.

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