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.

Classification: Accuracy Without Rules

The JetStream AI Classification module automatically categorizes documents by analyzing content and layout, without relying on rigid rules. Powered by machine learning and few-shot training, it quickly adapts to custom document types, streamlining workflows and reducing manual sorting. Ideal for large, diverse collections, it ensures fast, accurate classification across both modern and historical records.

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Few-Shot Learning & Visual Intelligence

JetStream uses a trainable neural network that analyzes both textual content and layout structure. With as few as 20 training examples per class, it delivers high-precision classification, even when documents have minimal visual variation.

Effortless No-Code Training Interface

Effortlessly teach the system how to sort documents, no coding needed. With the drag-and-drop setup, you can label samples, create categories, and guide the AI using just a few examples. Fast setup and easy to adjust allows you to create custom document workflows without relying on developers.

Seamless Deployment & Integration

JetStream can be deployed on-premises or in private cloud environments as a Java application or Docker container. Integration is straightforward via gRPC or REST API, and it supports both client-server use and embedded SDK configurations.

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

The JetStream Classification module includes powerful Document Splitting capabilities that automatically detect and separate individual documents within a scanned batch or multi-page file. Whether you're processing bound archives, bulk scans, or mixed document types, JetStream identifies natural break points, such as page layout changes, headings, or content patterns, to split files accurately without manual input. This streamlines digitization, reduces post-processing time, and ensures each document is correctly isolated and ready for classification or export.

The JetStream Classification module includes powerful Document Splitting capabilities that automatically detect and separate individual documents within a scanned batch or multi-page file. Whether you're processing bound archives, bulk scans, or mixed document types, JetStream identifies natural break points, such as page layout changes, headings, or content patterns, to split files accurately without manual input. This streamlines digitization, reduces post-processing time, and ensures each document is correctly isolated and ready for classification or export.

Page & Document Classification

JetStream supports both full-document and per-page classification. This allows, for example, an email attachment to be categorized as an application (document-level) or each page of that application to be classified as a cover letter, resume, etc. (page-level).

Why Choose JetStream Classification

  • Faster Workflows: Automate what used to take hours.

  • Greater Accuracy: AI learns from your data, improving results over time.

  • User-Friendly: No tech background needed.

  • Customizable: Tailor categories and rules to your exact needs.

  • Scalable: Works just as well on 100 documents as it does on 100,000.

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.


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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.