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Make the most of Hyperscience
Welcome! For a quick tour and tips, see How to use this site.
Release Notes
What we've introduced, enhanced, and fixed in each version.
Knowledge Base (All Versions)
Troubleshooting information for known issues across all versions of Hyperscience.
Deployment Information
Infrastructure information and instructions for installing, configuring, and upgrading Hyperscience.
V42 User Guide
Reduce time-to-value with ORCA VLMs and improvements to Classification, Flexible Extraction, and the overall user experience.
V41 User Guide
Leverage AI and automation in new ways with features like Document Chat, Auto-splitting, and Similar Layout Variation Detection.
V40 User Guide
Increase your organization's productivity with Document Drift Management, Extended Model Compatibility, and UI Internationalization.
V39 User Guide
Manage the model lifecycle with Incremental Training and Training Data Management for Classification.
V38 User Guide
Boost productivity by applying LLMs and in in- application Knowledge Store to your workflows.
Promoted articles
ORCA (Optical Reasoning and Cognition Agent) VLMs
Our ORCA (Optical Reasoning and Cognition Agent) Vision Language Models (VLMs) leverage the power of GPUs to find and extract data in documents...
Flexible Extraction
Flexible Extraction is a type of task in Hyperscience that involves human intervention to validate or correct data extraction for Structured documents...
Structured Document Classification
Classification models are a crucial part of document processing as they help the system determine which layout should be used to process each page you upload...
Developing Flows
If your organization develops and customizes flows, you can give your System Admins additional permissions by adding the “.env” file variables described in the sections below...
Flow Blocks
With the introduction of flows, we have created the following types of blocks to help you customize your flows to meet your teams’ needs...
Infrastructure Requirements
Learn about what's supported and required for each component of a Hyperscience instance.
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