Introduction

Error handling deals with handling errors with respect to various activities in a workflow. If the
workflow throws exceptions or any errors, you can handle them through these activities.

To see the activities available in ErrorHandling feature, click on the link below.

Introduction

Developers may save, retrieve, and iterate through key-value data pairs using the dictionary
functionality. As a single dictionary value may store a significant amount of information that
can be referred to in nearly all bot activities, dictionaries can be useful in decreasing the
number of variables that need to be created.

To see the activities available in Dictionary feature, click on the link below.

Activities

Introduction

Excel automation in Robility refers to the use of bots to perform tasks within Microsoft
Excel without human intervention. This automation can involve various actions,
such as data entry, data extraction, data manipulation, and report generation,
using Robility to interact with Excel workbooks and worksheets.

Introduction

This acts as a container for users and robots to store information/ data during run-time.
This activity is used to create, configure and manage the collections. 

To see the activities available in Collections feature, click on the link below.

Activities

Introduction

AzureBlob is optimized for storing massive amounts of unstructured data. All the activities
in this feature works under the Azure Scope. It is an ideal choice for cloud-based data
storage and management.Use these activities to create a storage container in the Azure
blob. We can also download any data from any container when required and also delete
the container once a specific project is completed.

To see the activities available in AzureBlob feature, click on the link below.

Introduction

Azure Form Recognizer, a cloud-based Azure Applied AI Service looks at your forms and
documents, extracts text and data from them, maps field relationships as key-value pairs,
and gives you a structured output.This structured output can be used to create data
pipelines and automate processes. It can also be used to quickly access data and create
reports, which can be used to make better decisions.

To see the activities available in AzureAI Form Recognizer feature, click on the link below.

Introduction

Amazon Rekognition offers pre-trained and customizable computer vision capabilities
to extract information and insights from your images and videos.

It can be used to compare faces in the source image with the target image, to detect key
facial features in an input image, to detect objects that are present in the image, to detect
evocative and provocative content in the given image, to detect and extract text within
images such as graffiti, license plates, clothing, mugs,etc.

Introduction

Amazon S3 feature serves as one of the most used cloud storage platform. 

Introduction

This feature can be utilized to automate a range of activities on webpages. It entails
interacting with web browsers, navigating through web pages, filling in forms, clicking
buttons, extracting data, and performing other actions programmatically. This not only
reduces the necessity for manual intervention but also enhances efficiency.

The Robility Platform supports WebAutomation exclusively in the Google Chrome and
Microsoft Edge browsers.