JetStream AI Classification

Highest Accuracy For Classification

Save time and reduce costs by an average of over 80%, eliminating the need for manual correction rules. Whether you're processing single pages or full documents, JetStream Document Classification Software ensures fast, accurate categorization and sorting—streamlining your entire workflow.

Why Use JetStream AI Classification

Accurate

Trained for your usecase with high accuracy

Efficient

Reduce cost by significantly increasing automation

On-Premise

Can run fully on premise without the need for internet

Easy Set Up

Fast and easy to train, very fast to execute workflows

Streamline Processing & Boost Automation

Enhance automation and simplify processing with intelligent document classification and fully automated workflows. JetStream accurately categorizes incoming documents and offers powerful document splitting—using either trainable AI models or rule-based methods—to efficiently break down large files into organized, manageable sections.


How does Classification work?


The JetStream Classification software is very simple to use. In the intuitive dashboard, you can train a specific workflow for your needs, only requiring a small amount of sample documents.

After training you can select your module, set up your workflow and start classifying documents.

Once classification is finished it will give you several output options including a Json file with the classification answer as well as more in-depth information on the document.


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JetStream Classification Key Features

Speed up your workflow with intelligent document splitting tailored to your needs. If your pages match previous classifications, simply reuse the same model for fast, accurate results. For a simple setup, use rule-based splitting by defining a fixed number of pages per document. And when layouts stay consistent, one blank form per class is all it takes—making setup quick and effortless.

Automatically detect the essential content of any document and crop it to the ideal format—removing unwanted margins, shadows, and skewed edges. Whether it’s handwritten notes, printed forms, or old, irregular pages, our intelligent algorithms deliver a perfectly framed, distortion-free result. This precise processing boosts readability and prepares documents for smooth, efficient digital use—saving time and streamlining your workflow.

Step into a new era of smart classification with JetStream’s rule-based approach. Unlike neural networks, JetStream is built for simpler, high-speed tasks that focus purely on textual content.


Easily customize word searches within documents—whether single words, phrases, or full sentences. And thanks to its patented technology, every transcription is captured and preserved, so no information slips through the cracks.

Classification Attributes

Control over the AI

Take full control of the AI by training it to fit your specific needs and seamlessly integrating it into your data extraction workflow.

Page or Full Document

Classification can be applied at both the page level—identifying each page individually—or at the document level, accurately classifying multi-page files as a whole.

No Pre-Sorting

Integrate seamlessly into the extraction workflow and make real-time decisions during the scanning process—determining instantly how to handle each document.

No Code Training

Classification is easy and fast to train, with only a small size of sample documents needed, a new classification workflow can be trained and implemented within a day.

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How to Train Classification


Upload sample documents to establish a ground truth for the classification you want to train the AI on. Run the training as many times as required and then use different documents to validate the training.


Document Classification FAQs

  • What is document classification?

    Document classification is the process of categorizing or sorting documents into predefined classes or categories based on their content, characteristics, or other relevant attributes. It involves analyzing the text, structure, or metadata of a document to determine its class or category. Document classification can be performed manually by humans or automatically using machine learning algorithms and techniques.


    The purpose of document classification is to organize and manage a large volume of documents efficiently, making it easier to search, retrieve, and analyze specific information. It can be applied in various domains such as information retrieval, content management, email filtering, customer support, legal document processing, and many more.

  • What is automatic document classification?

    Automated document classification systems use techniques like natural language processing (NLP), machine learning, and artificial intelligence (AI) to automatically assign documents to the appropriate class or category based on patterns and features extracted from the text or other document attributes. These systems can learn from labeled training data and improve their accuracy over time through continuous feedback and validation.




    JetStream's versatile document categorization feature offers a rule-free and few-shot learning approach, making it incredibly efficient for organizing and classifying documents. With advanced machine learning capabilities, setting up and maintaining document classification workflows becomes significantly faster compared to traditional rule-based or manual methods.

  • What are the benefits of automating document classification?


    1. Increased efficiency: Automating document classification can save time and increase efficiency by reducing the need for manual classification. This frees up staff to focus on more critical tasks.
    2. Improved accuracy: Machine learning algorithms can accurately classify documents with a high level of accuracy, reducing errors and improving the quality of the classification process.
    3. Consistency: Automated document classification ensures that all documents are classified similarly, regardless of who is doing the classification. This helps to ensure consistency and reduce the risk of errors or inconsistencies.
    4. Cost savings: By automating document classification, organizations can save on labor costs associated with the manual classification.
    5. Improved search and retrieval: Automated document classification can improve search and retrieval capabilities, allowing users to quickly and easily find the necessary documents.
    6. Compliance: Automated document classification can help organizations to comply with regulatory requirements by ensuring that documents are correctly classified and stored.

    Automating document classification can help organizations manage their documents more efficiently and effectively, improving productivity, reducing errors, and ensuring compliance with regulatory requirements.