JetStream Extraction

JetStream AI Extraction & LLM

A Virtual Assistant For Your Documents

Smart zonal data extraction made simple. Using a rule-free, few-shot learning approach, JetStream captures individual data fields from structured and semi-structured documents with ease. For semi-structured and unstructured content, our advanced LLM technology ensures accurate, context-aware extraction across all document types.

Why JetStream LLM?

All Document Types

Structured, semi-structured and unstructured documents

Reduce Costs

Reduce cost by significantly increasing automation

On-Premise

Can run fully on premise without the need for internet

No training Needed

The LLM requires no training and can be used instantly

Intelligent Automation

JetStream transforms the setup and maintenance of data extraction workflows—eliminating manual effort and drastically reducing setup time compared to traditional rule-based methods. Say goodbye to manual extraction and hello to fast, intelligent automation.


Download DataSheet

JetStream Extraction


JetStream Extraction consists of two main options, a simple extraction, without LLM capabilties build for structured and unstructured document extraction, reducing hardware requirements.

This simple extraction module can be easily trained in the dashboard after which the workflows can be created and the Extraction can begin. With an unlimited amount of extraction fields that could be extracted.


Schedule a Demo

JetStream Extraction Features

JetStream Extraction automatically captures key invoice data—including vendor details, dates, line items, and totals. Its AI-powered engine adapts to different layouts and formats, ensuring high accuracy while eliminating manual data entry and streamlining financial workflows.


JetStream Extraction accurately detects and extracts tables from any document. Whether you're working with complex financial reports or scientific data, it delivers precise, reliable table extraction every time.

JetStream Extraction automates the extraction of structured data from forms, identifying key fields such as names, addresses, and checkboxes. This intelligent processing enables businesses to streamline document handling, ensuring fast and reliable data extraction from standardized or custom-designed forms.









JetStream LLM Functionality

Validates Answers

The LLM output is fully validated and based exclusively on the documents you provide, ensuring accurate answers sourced directly from your data—nothing more, nothing less.

Ask Your Document

Ask your document specific questions—whether you need to extract a particular value or request a full summary. JetStream understands and responds with accurate, context-aware answers tailored to your needs.

On-Premise or Cloud

JetStream offers flexible deployment options—choose a cloud-based setup or a fully on-premise installation, where all data and documents remain securely within your local environment.

Unstructured Data Extraction

Discover how the LLM effortlessly extracts information from unstructured documents—automatically and accurately. Choose from multiple output formats to seamlessly integrate results into your existing workflow.

Schedule a Demo

Document Recognition FAQs

  • What is document extraction?

    Document extraction is the process of automatically extracting structured data from unstructured or semi-structured documents. It involves identifying and capturing specific data fields, such as names, addresses, dates, or invoice numbers, from documents like invoices, forms, contracts, or receipts. Document extraction eliminates the need for manual data entry, saving time and reducing errors. It is commonly used in various industries, including finance, insurance, healthcare, and logistics, to automate data extraction and streamline business processes.

How to train JetStream Extraction?


JetStream Extraction can easily be trained with the Extraction Assistant (ExA), to train models effortlessly, even without programming skills or complex dataset preparation. With ExA, you can easily navigate through the training process, enabling you to efficiently train models for document extraction tasks.


  • Minimum of 5 documents per class
  • Large number of training documents lead to a better model
Share by: