We were founded in 2005 in a tiny apartment in Bucharest, Romania as DeskOver.

Fittingly, it was a customer who, in 2012, first saw the immense possibilities for us in the fledgling RPA market. Our desktop automation product launched in 2013. In 2015, we introduced our enterprise platform along with our new name.

Today, UiPath is the fastest-growing enterprise software company in history with scores of offices, thousands of employees, partnerships with the world’s best consulting and BPO firms, a **500,000-strong developer community**, and **5MM+ robots at work** in over **5,000 global enterprises.**

Our mission is to deliver the leading Robotic Process Automation platform to our clients for an automation first mindset.

We build software robots that automate repetitive processes. Our software robots take on the tedious, mind-numbing work and free people to do the more stimulating, creative work worth doing.

But no matter how much we’ve grown, one thing hasn’t changed. We’re still building a company we love to work for

22ac2b39-8e69-4be8-8c56-879cf6d99177.png

UiPath Connect Product Manager

Product Manager

The Microsoft Vision package provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. It also has other features like estimating dominant and accent colors, categorizing the content of images, and describing an image with complete English sentences. Additionally, it can intelligently generate image thumbnails for displaying large images effectively.

  

This **UiPath Official package** includes the following activities:

  

\- Microsoft Vision Scope: Provides authentication for all Microsoft Vision activities

\- Detect Faces: detects faces from an image and provides information on gender and age.

\- Generate Description: Generates a natural language description for the image.

\- Get Color: Gets the dominant colors from the image.

\- Get Thumbnail:  Crops the most relevant part of an image.

\- Generate Tags: Extracts the relevant tags from the image. The tags are image characteristics.

\- Read Handwritten Text: Reads handwritten or printed text.

\- Read Text: Extracts relevant text blocks along with their language and position.

\- Safe Search: Does a safe search analysis on the specified image, identifying adult or racy content.

  

All activities are localized in Chinese, French, German, Japanese, Korean, Portuguese (Brazilian), Russian.

Simplify automating processes that use Microsoft Vision by replacing UI operations with background API calls.

画像から関連する注釈を抽出するのに使用できる Microsoft Vision アクティビティパッケージ

The Microsoft Vision package provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. It also has other features like estimating dominant and accent colors, categorizing the content of images, and describing an image with complete English sentences. Additionally, it can intelligently generate image thumbnails for displaying large images effectively.

  

This **UiPath Official preview package** includes the following activities:

  

\- Microsoft Vision Scope: Provides authentication for all Microsoft Vision activities

\- Detect Faces: detects faces from an image and provides information on gender and age.

\- Generate Description: Generates a natural language description for the image.

\- Get Color: Gets the dominant colors from the image.

\- Get Thumbnail:  Crops the most relevant part of an image.

\- Generate Tags: Extracts the relevant tags from the image. The tags are image characteristics.

\- Read Handwritten Text: Reads handwritten or printed text.

\- Read Text: Extracts relevant text blocks along with their language and position.

\- Safe Search: Does a safe search analysis on the specified image, identifying adult or racy content.

  

All activities are localized in Chinese, French, German, Japanese, Korean, Portuguese (Brazilian), Russian.

Introduction to Microsoft Computer Vision Package
-------------------------------------------------

The Microsoft Computer Vision package offers algorithms designed for image processing, delivering comprehensive information in various applications. Its capabilities encompass content analysis, face detection, color estimation, image categorization, and descriptive sentence generation. Moreover, it exhibits intelligent functionality by generating effective image thumbnails for optimal display of large images.

Capabilities of Microsoft Vision Package
----------------------------------------

The Microsoft Computer Vision package performs metadata analysis on images, catering to diverse use cases across industries and applications.

  

This UiPath Microsoft Computer Vision package includes the following activities:

*   [Microsoft Vision Scope](https://docs.uipath.com/activities/other/latest/legacy-integrations/microsoft-vision-scope) - Handles the connection to the Microsoft Computer Vision API and provides a scope for all Microsoft Vision activities.
*   [Analyze Image](https://docs.uipath.com/activities/other/latest/legacy-integrations/microsoft-vision-analyze-image) - Makes a generic image call.
*   [Detect Faces](https://docs.uipath.com/activities/other/latest/legacy-integrations/microsoft-vision-detect-faces) - Identifies and retrieves faces inside the image and gives information on the gender and age of the identified persons.
*   [Generate Description](https://docs.uipath.com/activities/other/latest/legacy-integrations/microsoft-vision-generate-description) - Describes, in human-readable language, what is seen in an image.
*   [Generate Tags](https://docs.uipath.com/activities/other/latest/legacy-integrations/microsoft-vision-generate-tags) - Generates a list of tags for individual objects found within the specified image.
*   [Get Color](https://docs.uipath.com/activities/other/latest/legacy-integrations/microsoft-vision-get-color) - Gets the dominant foreground and background colors, a list of dominant colors and specifies whether the image is black and white.
*   [Read Handwritten Text](https://docs.uipath.com/activities/other/latest/legacy-integrations/microsoft-vision-read-handwritten-text) - Identifies and reads handwritten text within the image.
*   [Read Text](https://docs.uipath.com/activities/other/latest/legacy-integrations/microsoft-vision-read-text) - Reads the text from the specified image and gives information on the positioning of the text inside the image.
*   [Safe Search](https://docs.uipath.com/activities/other/latest/legacy-integrations/microsoft-vision-safe-search) - Specifies whether the image contains Adult or Racy content.

Simplify automating processes that use Microsoft Computer Vision by replacing UI operations with background API calls.

This activity set is now on the official feed within UiPath Studio and is fully supported for Enterprise users.

  

This **UiPath Official package** includes the following activities:

  

**Google Vision Scope** \- Scope activity that will act as an authentication for each following Google Vision Activity.

**Annotate Image** - This will implement the generic Google Vision API call.

**Logo Detection** - The Activity will try to identify logos annotator on the specified image.

**Safe Search** \- The Activity will do a safe search analysis on the specified image identifying racy, adult, violent or medical content.

**Web Detection** - The activity will search the web for similar images and return full matching and partial matching urls which include the image.

**Label Detection** - The activity will extract the most relevant labels of the image. The labels are image characteristics.

**Text Detection** - The activity will extract the relevant text blocks along with their language and position.

**Face Detection** - The activity will crop faces from the specified image.

**Handwritten Text Detection** \- The activity will extract handwritten text along with its language and position. 

  

All activities are localized in Chinese, French, German, Japanese, Korean, Portuguese (Brazilian), Russian.

  

Documentation is located at https://docs.uipath.com/activities/docs/google-vision-about

Image analysis powered by Google's Vision service

これは Google Vision アクティビティパッケージのベータ版です。一部の機能は将来的に変更になる可能性があります。

次のアクティビティが含まれています。

**Google Vision スコープ** \- 各 Google Vision アクティビティの認証機能を担うスコープアクティビティ

**画像にアノテーションをつける** - 一般的な Google Vision API コールを実装

**ロゴを検出** - 指定された画像上のロゴを識別

**セーフサーチ** \- 指定された画像上で、アダルトコンテンツ、差別的コンテンツ、暴力コンテンツ、医学コンテンツを識別しでセーフサーチ分析を実行

**ウェブ検出** - ウェブで類似の画像を検索し、完全適合または部分適合している画像の URL を戻す

**ラベルを検出** - 画像の最も関連性の高いラベルを抽出 (ラベルは画像特性)

**テキストを検出** - 言語と位置の沿った関連するテキストブロックを抽出

**顔検出** - 指定された画像から顔を切り出す

**手書き文字認識** \- 言語と位置の沿った関連する手書きのテキストブロックを抽出 **\*\*NEW\*\***

**すべてのアクティビティは、日本語、フランス語、ロシア語でローカライズされています。**

アクティビティについて詳しくは、[こちら](https://integrations.uipath.com/lang-ja/docs/google-vision)をお読みください。

画像から関連する注釈を抽出するのに使用できる Google Vision アクティビティパッケージ

This activity set is now on the official feed within UiPath Studio and is fully supported for Enterprise users.

  

This **UiPath Official preview package** includes the following activities:

  

**Google Vision Scope** \- Scope activity that will act as an authentication for each following Google Vision Activity.

**Annotate Image** - This will implement the generic Google Vision API call.

**Logo Detection** - The Activity will try to identify logos annotator on the specified image.

**Safe Search** \- The Activity will do a safe search analysis on the specified image identifying racy, adult, violent or medical content.

**Web Detection** - The activity will search the web for similar images and return full matching and partial matching urls which include the image.

**Label Detection** - The activity will extract the most relevant labels of the image. The labels are image characteristics.

**Text Detection** - The activity will extract the relevant text blocks along with their language and position.

**Face Detection** - The activity will crop faces from the specified image.

**Handwritten Text Detection** \- The activity will extract handwritten text along with its language and position. 

  

All activities are localized in Chinese, French, German, Japanese, Korean, Portuguese (Brazilian), Russian.

  

Documentation is located at https://docs.uipath.com/activities/docs/google-vision-about

Introduction to Google Cloud Vision API
---------------------------------------

The Google Cloud Vision API empowers developers to comprehend the content of images through the encapsulation of robust machine learning models within a user-friendly REST API.

  

It swiftly categorizes images into an extensive array of classifications, e.g., "sailboat," "lion," or "Eiffel Tower." Additionally, it adeptly identifies individual objects and faces within images, and proficiently locates and interprets printed words embedded within the visual content.

### Initial Configuration for Using Google Vision Activities Package

Before using the the Google Vision Activities Package, you need to configure your applications using the [Google Cloud Platform](https://console.cloud.google.com/) .

  

There are two configuration steps:

1.  **Enable APIs** - this step enables automation by granting API access to your Google applications.
2.  **Create Credentials** - this specifies the authentication type used to interact with your enabled APIs.

Activities in the Google Vision Activities Package
--------------------------------------------------

The activities included in this package are:

*   [Google Vision Scope](https://docs.uipath.com/activities/other/latest/legacy-integrations/google-vision-scope) - Handles the authentication to the Google Vision service.
*   [Annotate Image](https://docs.uipath.com/activities/other/latest/legacy-integrations/google-vision-annotate-image) - Requests one or more annotation types per image.
*   [Face Detection](https://docs.uipath.com/activities/other/latest/legacy-integrations/google-vision-face-detection) - Detects multiple faces within an image, along with the associated key facial attributes like emotional state or wearing head wear. Facial Recognition is not supported.
*   [Handwriting Detection](https://docs.uipath.com/activities/other/latest/legacy-integrations/google-vision-handwriting-detection) - Identifies and reads handwritten text inside the image.
*   [Label Detection](https://docs.uipath.com/activities/other/latest/legacy-integrations/google-vision-label-detection) - Detects broad sets of categories within an image, ranging from modes of transportation to animals.
*   [Logo Detection](https://docs.uipath.com/activities/other/latest/legacy-integrations/google-vision-logo-detection) - Detects popular product logos within an image.
*   [Safe Search](https://docs.uipath.com/activities/other/latest/legacy-integrations/google-vision-safe-search) - Detects explicit content like adult content or violent content within an image.
*   [Text Detection](https://docs.uipath.com/activities/other/latest/legacy-integrations/google-vision-text-detection) - Detects and extracts text within an image, with support for a broad range of languages, along with support for automatic language identification.
*   [Web Detection](https://docs.uipath.com/activities/other/latest/legacy-integrations/google-vision-web-detection) - Searches the internet for similar images.

Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy-to-use REST API.

RPA Pre Sales Engineer

**Background**

**KYC or "Know your customers"** refers to due diligence activities that financial institutions and other regulated companies perform to prevent them from being used by criminal elements for money laundering activities. This is a **tedious and manual activity**, requiring very accurate results. **In case of mistakes** the fines are of millions of USD and affects the reputation of the bank.

The 3 Key elements of KYC Policies:

**Onboarding the customer** – A smaller number of prospect clients need to be analyzed, but there is a pressure from competition on the SLA for client opening account.

**Monitoring the customer data** – The whole portfolio needs to be assessed periodically, with no pressure from the client, but from the regulations in this area (example: The frequency of a periodic review may increase (from 1 per 3 years to smaller periods) which almost triples of the volume of work

**Monitoring of Transactions** – Anti-Money Laundering activities (different process - out of scope)

**Solution description**

**The solution is build around 7 sub-processes common to Onboarding/reviewing Corporate Clients in any Financial Institution performing the KYC for UK & France Customers**

**Proof of registration** – like proof of identity for an individual, for a company it is meant to validate client name, client registration address and client registration number (Source of data\*: France: Infogreffe, UK: Companies House)

**Proof of listing** – If a company is listed or not on a Stock Exchange; this also gives an important info about how supervised the customer is (Source of data\*: France: Euronext, UK: London Stock Exchange)

**Proof of regulation** – financial institutions need to be authorized to perform activities in their area (Source of data\*: France: [acpr.banque-france.fr/](http://acpr.banque-france.fr/) UK: [www.bankofengland.co.uk](http://www.bankofengland.co.uk/))

**Main countries of business** – Countries where the customers are developing their business (Source of data\*:Annual report published on the companies site)

**Management structure** – Board of Directors (Source of data\*: Bankers Almanac application that can be used by all banks, regardless of the counterparts’ country)

helps banks comply, in their due diligence, in relation with their counterparts

provides access to 114,569 documents for 20,415 financial institutions worldwide, together with other valuable information including details on ownership, group structures and regulators

**Ultimate beneficial owner\*** – Who ultimately controls the company based on a predefined shareholder structure schema (Source of data\*: Bankers Almanac application)

**Screening on Adverse, Sanctions, PEP international lists** – screening of information focused on PEPs and heightened risk individuals and entities, their associates, partners, families and extended networks (Source of data: World Check, that shows one consolidated report for each individual/entity, that presents the sanction or watchlist information alongside any additional negative media that is uncovered)

Part of the [Thomson Reuters](https://en.wikipedia.org/wiki/Thomson_Reuters) Risk Management Solutions suite it is presently used by:

*   49 of the world's top 50 banks
*   9 of the Top 10 global law firms
*   300+ Government agencies

\*Solution includes for now UK & France for Customer Type - Financial Institutions. Next version will be updated with more countries and different customer types, other than Financial Institutions

**Solution components** – UiPath Custom UI Activity for the output display (.Net, HTML, JavaScript, CSS, Bootstrap)

*   UiPath Pre-built Activities for all the repetitive tasks
*   UiPath Custom NLP Activity **(**Python & nltk.)
*   UiPath Custom ML Activity ("Naive Bayes Machine Learning Algorithm")

Combining Industry Knowledge (well documented business rules with the support of one major Bank) with RPA - UiPath Platform functionalities - and Computer Vision + Natural Language Processing and Machine Learning algorithms, we obtained a solid plug and play solution that can be used at industry level & not only.

KYC 1 automatizes the onboarding and monitoring process of KYC for financial institutions by using reliable, independent source documents and data about the clients registered in UK and France

Director, Product Management

This simple template can be used as a starting point for automating attended processes.

The main advantages of using this template are the following:

*   Modularization: Separation into three main steps (initialization, processing and cleanup)
*   Finer exception handling: Differentiation between Application Exceptions and Business Rule Exceptions, including specific handling for each of them
*   Configuration file: Higher flexibility and ease of maintenance by providing user-friendly definition of settings
*   Compatibility with dashboards created for the ReFramework

How to use it:

*   Edit the Config file found in Data folder. Add the required configuration settings in the Settings tab, Constants tab and, if working with Orchestrator Assets, use the Assets tab to define the list of assets that will be automatically taken when the process is executed. Make sure to use different names for assets, constants and settings as all types of configuration values are stored in the same dictionary. Values are stored in the config dictionary as [GenericValue](https://studio.uipath.com/docs/genericvalue-variables).
*   Implement the process using a modular approach; create separate workflow files for each component or part of your process. Then, invoke all the process components in the Process.xaml workflow file, in the correct module. If there are many decisions, a flowchart should be used for the Process.xaml workflow file. For example, the activities that will open and prepare the target application for the process execution should be put in a separate workflow file, TargeApplicationName\_Init.xaml. This workflow should be invoked in the Process.xaml, in the Initialization sequence.

A framework for simple attended processes automation.

Attended プロセスを自動化するための出発点としてこのシンプルなテンプレートを使用できます。

このテンプレートを使用する主な利点:

*   モジュール化: 3 つのメインステップ (初期化、処理、およびクリーンアップ) への分離
*   よりきめ細かな例外処理: アプリケーション例外とビジネスルール例外の区別 (それぞれの例外の具体的な処理を含む)
*   コンフィグレーションファイル: ユーザーフレンドリーな設定定義により、柔軟性が高く、メンテナンスが簡単
*   ReFramework 用に作成されたダッシュボードとの互換性

使用方法:

*   \[Data\] フォルダー内の Config ファイルを編集します。\[Settings (設定)\] タブ、\[Constants (定数)\] タブで必要なコンフィグレーション設定を追加し、また Orchestrator アセットと動作している場合は \[アセット (Assets)\] タブを使用して、プロセスの実行時に自動的に取得されるアセットのリストを定義します。すべてのタイプのコンフィグレーション値が同じディクショナリに保管されるので、アセット、定数、および設定に対して必ず別々の名前を使用してください。値は [GenericValue](https://studio.uipath.com/docs/genericvalue-variables) としてコンフィグレーションディクショナリに保管されます。
*   モジュール型アプローチを使用してプロセスを実装します。つまり、プロセスのコンポーネントまたは部分ごとに、別々のワークフローファイルを作成します。その後、正しいモジュール内で、Process.xaml ワークフローファイルにあるすべてのプロセスコンポーネントを起動します。多数の決定項目がある場合は、Process.xaml ワークフローファイル用にフローチャートを使用する必要があります。たとえば、プロセス実行のターゲットアプリケーションを開いて準備するアクティビティは、別のワークフローファイル TargeApplicationName\_Init.xaml に配置します。このワークフローは、Process.xaml 内で初期化シーケンス中に起動する必要があります。

シンプルに Attended プロセスを自動化するためのフレームワーク

We're excited to share with you the Assistant Attended Framework!

  

The framework was created to assist with developing linear, task-based attended automations executed from the UiPath Assistant.

  

It will help you automatically implement key attended automation best practices and focuses on four areas:

*   User experience
*   Automation context
*   Performance
*   Development simplicity

If you're familiar with the REFramework, you'll have no problem picking up the attended framework!

  

Please direct any questions or feedback to tuan.nguyen@uipath.com.

A framework to help developers quickly build high quality and user friendly attended automations.

ad61d924-b635-4c52-b7fc-5a26a20c18b2.png

We're excited to share with you the new Attended Framework!

  

The framework was created to assist with developing delightful attended experiences from the UiPath Assistant.

  

It will help you automatically implement key attended automation best practices:

*   User experience
*   Execution context
*   Performance

Please direct any questions or feedback to tuan.nguyen@uipath.com.

We're excited to share with you the new Attended Framework!

  

The framework was created to assist with developing delightful attended experiences from UiPath Assistant.

  

It will help you automatically implement key attended automation best practices:

*   User experience
*   Execution context
*   Performance

Please direct any questions or feedback to tuan.nguyen@uipath.com.

  

Starting with version 2.1.0, this template has been built for Window (.NET 5/6) projects only. Please download version 2.0.3 if you'd like to use it for Window-Legacy projects.

A framework to help developers quickly build high-quality and user-friendly attended automations.

Senior Software Engineer

This is a simple engine to pull and process a Transaction from a local data source.

The workblock contains code that will do the following:

1\. Reads a configuration file, by default located in Data\\Config.xlsx and output as a dictionary named config

2\. Calls ProcessLayer\\InitAllApplications.xaml, where you should initialize apps

3\. Reads the collection of data

4\. For each piece of data (if you have only one transaction pull 4.1 out of 4):

*   4.1 Execute Process - retry if you run into a AppEx
*   4.2 Calls ProcessLayer\\ProcessTransaction.xaml, where you should input data into your opened applications
*   4.3 Evaluate Process wb output
*   4.4 Recover if wb failed with AppEx
*   4.4.1 Call ProcessLayer\\CloseAllApplications.xaml
*   4.4.2 Call ProcessLayer\\InitAllApplications.xaml

5\. Call ProcessLayer\\CloseAllApplications.xaml

A couple of workblocks in UiPath Studio solving simple processes with local data

Simple engine to pull and process a Transaction from an Orchestrator queue

This engine contains code that will do the following:

1\. Read a configuration file, by default located in Data\\Config.xlsx and output as a dictionary named config

2\. Calls ProcessLayer\\InitAllApplications.xaml, where you should initialize applications

3\. While there are items in the Queue, read a new Item and process it.

*   3.1 Get Item from queue
*   3.2 Execute Process - retry if you run into a AppEx
*   3.2.1 Calls ProcessLayer\\ProcessTransaction.xaml, where you should input data into your opened applications
*   3.2.2 Evaluate Process wb output
*   3.2.3 Recover if wb failed with AppEx
*   3.2.3.1 Call ProcessLayer\\CloseAllApplications.xaml
*   3.2.3.2 Call ProcessLayer\\InitAllApplications.xaml

4\. Call ProcessLayer\\CloseAllApplications.xaml

A simple workblock engine made in UiPath Studio to process Orchestrator queue items

Dashboards in Kibana for displaying data about running and finished processes to business, development and management audiences.

All UiPath processes using the workblock concept to log data can use these dashboards.

Attached you will find three files, each containing a set of visualisations and a single dashboard that groups the visualisations together.

In the documentation section, you will find the installation guide.

Kibana dashboards based on the workblock fields

**NOTE!** This package has been deprecated.  Please use the latest Microsoft Translator activity pack at https://marketplace.uipath.com/listings/microsoft-translator

  

Microsoft Translator Text API is a cloud-based machine translation service. With this API you can translate text in near real-time from any app or service through a simple REST API call. The API uses the most modern neural machine translation technology, as well as offering statistical machine translation technology.

For the list of supported languages, both for neural MT and statistical MT, please refer to [Supported languages](https://docs.microsoft.com/en-us/azure/cognitive-services/translator/languages).

Custom translator models are also available but in not in the current scope of the activities.

The activities allow for the following use cases:

*   Language Detection
*   Translation from one language to another
*   Transliteration of characters from one alphabet to another

[You can find the official documentation here](https://integrations.uipath.com/v1.0/docs/microsoft-text-translate)

NOTE! This package has been deprecated. Please use the latest Microsoft Translator activity pack at https://marketplace.uipath.com/listings/microsoft-translator Microsoft Translator Text API is a cloud-based machine translation service.

The UiPath Jenkins Plugin allows you to integrate RPA development and Software Testing with UiPath into Jenkins.

It provides build tasks to pack UiPath projects into nuget packages, deploy them to Orchestrator and run Test Sets on Orchestrator.