- Overview
- Getting started
- Marketplace Vendors
- Marketplace Customers
- Publishing Guidelines
- Publishing Guidelines for Ready-to-go Automations
- Publishing Guidelines for Solution Accelerators
- Publishing Guidelines for Integration Service Connectors
- Publishing Guidelines for Process Mining app templates
- Solution accelerators benefits
- Security & IP Protection
- Installation guides
- Other UiPath Listings
- Node-RED
- Setup
- Teams
- Microsoft Teams scope
- Create team
- Create team from group
- Get team
- Get teams
- Channels
- Create channel
- Delete channel
- Get channel
- Get channels
- Update channel
- Chats
- Get chat
- Get chats
- Get chat members
- Messages
- Get message
- Get messages
- Get message replies
- Reply to message
- Send message
- Events
- Create event
- Delete event
- Get event
- Get events
- Users
- Get user presence
- How it works
- Technical references
- Get started
- About
- Setup
- Technical references
- Azure Form Recognizer scope
- Activities
- Analyze form
- Analyze form async
- Get analyze form result
- Analyze receipt
- Analyze receipt async
- Get analyze receipt result
- Analyze layout
- Analyze layout async
- Get analyze layout result
- Train model
- Get models
- Get model keys
- Get model info
- Delete model
- Connectors
- How to create activities
- Build Your Integration
Ephesoft Transact
Ephesoft Transact activities for digitizing semi-structured and unstructured documents using machine learning.
Ephesoft is on a mission to help organizations increase productivity, improve efficiency and receive a substantial ROI (Return of Investment) through the patented machine learning technology embedded in their document capture solutions. They play a pivotal role for our clients by improving the way they capture, manage and analyze unstructured data.
The Ephesoft Transact package can perform digitization of semi-structured and unstructured data. Some advantages of using this packages are that no templates are required, it supports table extraction, and all operations are powered by a machine learning model that learns as you digitize documents.