JetStream Extraction

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.

JetStream Document Extraction Demo Video

JetStream Extraction Key Features


FEW-SHOT LEARNING


  • Few-shot learning
  • Significant time savings
  • Reduce maintenance



NO CODE TRAINING


  • Great for non-technical users
  • Browser-based interface
  • Customize classification models



UNMATCHED QUALITY & ACCURACY



  • Unrivaled OCR
  • Superior ICR
  • Highest-quality input data


REFINED ZONAL DATA EXTRACTION



  • extract data easily
  • text, checkboxes, codes, numbers
  • advanced key-value extraction



VERSATILE JSON OUTPUT FORMAT



  • Output: JSON format
  • Easy access to extracted data fields
  • Seamless downstream processing


EASY DEPLOYMENT & INTEGRATION



  • Cloud
  • On-premises as a Java app
  • Seamless gRPC API integration


JetSteam Model Training & Machine Learning

Introducing the Extraction Assistant (ExA) by JetStream - a user-friendly graphical interface that empowers users 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. Experience the simplicity and convenience of ExA, as it guides you step-by-step in training models without the need for programming expertise or extensive data preparation.


ExA excels in accurately extracting data from structured and semi-structured documents like forms and invoices. By leveraging the document categorization capabilities of IDA Classification, ExA intelligently routes documents to specific extraction models, ensuring optimal performance and precise data extraction. This streamlined process ensures that each document is processed by the most suitable extraction model, maximizing efficiency and accuracy.


  • Minimum of 5 documents per class
  • Large number of training documents lead to a better model
  • Unlimited number of data fields to extract
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