SlideShare a Scribd company logo
AWS - Cloud Native
MuleSoft Meetup
11-May-2024
Unveiling the Heart of
MuleSoft Intelligent
Document Processing -
AWS Textract
Organizers
Shubham Chaurasia
Billennium India
Integration Developer
/in/shubhamchaurasia1
Robin Sinha
Specialist II
/in/robin-sinha
Speakers
• Sr. Integration Specialist
• Working in LTIMindTree
• 5+ Years of Experience
• MuleSoft Certified
• IBM Certified
PRIYA SHAW
Speakers
• One of the Youngest MuleSoft Ambassdor
• Integration Developer in Billennium India
• 4+ years of Experience in Integrations
• MCIA, MCD L1, MCPA, MCIA, MCHS Certified,
• Salesforce, AWS, GCP, Azure, Workato Certified
• Mulesoft Meetup Leader | Mentor | Blogger | Speaker
• AWS Community Builder
• https://www.linkedin.com/in/shubhamchaurasia1/
• https://medium.com/@myid535
Shubham Chaurasia
AGENDA
● Introduction to AWS
● AWS Textract
● Document Processing using AWS Textract
● AWS Textract UseCases
● Demo - Textract Integration with MuleSoft
● QnA
● Networking time
AWS Top Product Categories
Need for processing documents
Search &
Discovery
Compliance
and control
Business
process automation
How documents are processed today
Manual
Processing
Optical character recognition
(OCR)
Rules and template-
based extraction
Conventional Technologies Fall Short
Structured Data
Dependencies
Flexibility Constraints
Lack of Data Validation
Integration with
Downstream Systems
AI Innovation Challenge
Accuracy
Concerns
Optical Character Recognition
(OCR)
Custom Trained AI Models
Challenges for processing documents
Expensive Error-prone Time-consuming
Processing a substantial
volume and variety of
documents demands
significant human hours
Why You Need A Scalable Document
Processing Solution
Current technology struggles
to work with evolving tech
stacks and AI solutions,
hindering the delivery of a
complete end-to-end
document automation
The makeshift, point-to-point
solution results in an
inefficient and non-
scalable ROI
Extract and structure data faster in any
format with AI-powered accuracy
Intelligent Document Processing
Maximize efficiency, minimize costs
Automate the entire document lifecycle and
incorporate manual review when necessary
Automate complete workflows beyond
documents
Seamlessly integrate extracted data with downstream
systems for a fully streamlined workflow
Automate complete workflows
beyond documents
Integrate extracted data with downstream
systems for a fully streamlined workflow
Accelerate time to market
Jumpstart with pre-trained models designed
for common document types
$2,413.13
69 Bank Street
Apr 2024 GA
AWS Textract
AWS Textract
• Detect text in typed and handwritten forms across various documents.
• Extract structured data like text, forms, and tables using Amazon Textract Document Analysis API.
• Use Queries to specify and extract information from documents with Amazon Textract Analyze
Document API.
• Analyze expenses from invoices and receipts with AnalyzeExpense API.
• Process U.S. government-issued ID documents like driver's licenses and passports using AnalyzeID
API.
• Automate routing and analysis of mortgage loan packages with Analyze Lending workflow.
• Customize Queries with your data for tailored processing needs.
Amazon Textract features
Text extraction Table extraction Form extraction
Features
Choose one of the following features based on your use case.
• DetectDocumentText - OCR
Extracts raw text.
• AnalyzeDocument - Tables
Extracts all tables and table cells in the document.
• Analyze Document - Queries
Extracts document data based on custom queries.
• AnalyzeDocument - Forms
Extracts all key-value pairs in the document.
• Analyze Document - Signatures
Extracts signatures from documents.
• AnalyzeDocument - Layout
Extracts titles, paragraphs, headers, section headers, lists, page numbers, footers, table areas, key-value areas and figure areas.
• Analyze ID
Extracts information from ID.
AWS Textract UseCases
Intelligent search indexes
Detect text in image and
PDF files
Natural Language Processing
controlling text grouping and
extraction, including word, line,
and table cell extraction
Accelerate data capture
and normalization
diverse sources such as financial
documents and medical notes
Automate data extraction
Integrate APIs into
existing workflows for
structured data extraction
AWS Textract Customers
Black Knight drives
efficiency and
delivers cost savings
Elevance Health automated
classification of attachments
for claims by 90%
Paytm achieved cost
savings of up to 75%
with Amazon Textract
Amazon Textract: Sync and async
Synchronous
Asynchronous
Supports single-page
documents such
as images (e.g., mobile
capture)
For multi-page documents,
up to 3,000 pages
Document
Document
Amazon Textract
Amazon Textract
Get results
Notification
Get results
With synchronous processing, Amazon Textract can analyze single-page documents for applications where latency is critical. Amazon
Textract also provides asynchronous operations to extend support to multipage documents.
Architecture - Form capture
Input
A customer uses a
mobile app to capture
a photo of an
employment
application form.
Customer Application
Customers experience real-
time capture of their
information by taking a
photo instead of manual
data entry.
Amazon Textract
The API is integrated
into the end-user
application to
automatically extract
text from the form
and auto-populate
the form fields.
Database
User submitted
data is loaded into
a database.
Amazon Textract: Text extraction
Blocks: PAGE, LINE, WORD
Document
Word
Output
Line1
Text extraction API: DetectDocumentText
Name Description
Blocks List of blocks identified
from the document
ID Unique ID of the unit
Relationships CHILD
Block type PAGE, LINE, WORD
Pages Contains number of
pages in the document
Name Description
Document Blob or Amazon S3
object
Response
Request
Demo Textract API
Networking time
Thank You

More Related Content

Similar to MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Cloud Native Meetup #4

Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...
Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...
Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...
Amazon Web Services
 
Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...
Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...
Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...
Amazon Web Services
 
From Data Analysis to Smarter Apps - AWS Summit Tel Aviv 2017
From Data Analysis to Smarter Apps - AWS Summit Tel Aviv 2017From Data Analysis to Smarter Apps - AWS Summit Tel Aviv 2017
From Data Analysis to Smarter Apps - AWS Summit Tel Aviv 2017
Amazon Web Services
 
AWS March 2016 Webinar Series Building Your Data Lake on AWS
AWS March 2016 Webinar Series Building Your Data Lake on AWS AWS March 2016 Webinar Series Building Your Data Lake on AWS
AWS March 2016 Webinar Series Building Your Data Lake on AWS
Amazon Web Services
 
Best Practices Using Big Data on AWS | AWS Public Sector Summit 2017
Best Practices Using Big Data on AWS | AWS Public Sector Summit 2017Best Practices Using Big Data on AWS | AWS Public Sector Summit 2017
Best Practices Using Big Data on AWS | AWS Public Sector Summit 2017
Amazon Web Services
 
¿Quién es Amazon Web Services?
¿Quién es Amazon Web Services?¿Quién es Amazon Web Services?
¿Quién es Amazon Web Services?
Software Guru
 
What's new in AWS?
What's new in AWS?What's new in AWS?
What's new in AWS?
Amazon Web Services
 
Co 4, session 2, aws analytics services
Co 4, session 2, aws analytics servicesCo 4, session 2, aws analytics services
Co 4, session 2, aws analytics services
m vaishnavi
 
BDA307 Real-time Streaming Applications on AWS, Patterns and Use Cases
BDA307 Real-time Streaming Applications on AWS, Patterns and Use CasesBDA307 Real-time Streaming Applications on AWS, Patterns and Use Cases
BDA307 Real-time Streaming Applications on AWS, Patterns and Use Cases
Amazon Web Services
 
Building a Modern Data Platform on AWS
Building a Modern Data Platform on AWSBuilding a Modern Data Platform on AWS
Building a Modern Data Platform on AWS
Amazon Web Services
 
Getting Started with Amazon QuickSight
Getting Started with Amazon QuickSightGetting Started with Amazon QuickSight
Getting Started with Amazon QuickSight
Amazon Web Services
 
Using AWS To Build A Scalable Machine Data Analytics Service
Using AWS To Build A Scalable Machine Data Analytics ServiceUsing AWS To Build A Scalable Machine Data Analytics Service
Using AWS To Build A Scalable Machine Data Analytics Service
Christian Beedgen
 
Introduction to Amazon Athena
Introduction to Amazon AthenaIntroduction to Amazon Athena
Introduction to Amazon Athena
Amazon Web Services
 
Getting started with Amazon Kinesis
Getting started with Amazon KinesisGetting started with Amazon Kinesis
Getting started with Amazon Kinesis
Amazon Web Services
 
Getting started with amazon kinesis
Getting started with amazon kinesisGetting started with amazon kinesis
Getting started with amazon kinesis
Jampp
 
AWSome Day Galway Intro
AWSome Day Galway IntroAWSome Day Galway Intro
AWSome Day Galway Intro
Amazon Web Services
 
UiPath 23.4 Product Release Updates
UiPath 23.4 Product Release UpdatesUiPath 23.4 Product Release Updates
UiPath 23.4 Product Release Updates
DianaGray10
 
Getting to 1.5M Ads/sec: How DataXu manages Big Data
Getting to 1.5M Ads/sec: How DataXu manages Big DataGetting to 1.5M Ads/sec: How DataXu manages Big Data
Getting to 1.5M Ads/sec: How DataXu manages Big Data
Qubole
 
The AWS Big Data Platform – Overview
The AWS Big Data Platform – OverviewThe AWS Big Data Platform – Overview
The AWS Big Data Platform – Overview
Amazon Web Services
 
Fast Track to Your Data Lake on AWS
Fast Track to Your Data Lake on AWSFast Track to Your Data Lake on AWS
Fast Track to Your Data Lake on AWS
Amazon Web Services
 

Similar to MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Cloud Native Meetup #4 (20)

Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...
Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...
Serverless Big Data Analytics with Amazon Athena and Amazon Quicksight - May ...
 
Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...
Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...
Serverless Big Data Analytics using Amazon Athena and Amazon QuickSight - May...
 
From Data Analysis to Smarter Apps - AWS Summit Tel Aviv 2017
From Data Analysis to Smarter Apps - AWS Summit Tel Aviv 2017From Data Analysis to Smarter Apps - AWS Summit Tel Aviv 2017
From Data Analysis to Smarter Apps - AWS Summit Tel Aviv 2017
 
AWS March 2016 Webinar Series Building Your Data Lake on AWS
AWS March 2016 Webinar Series Building Your Data Lake on AWS AWS March 2016 Webinar Series Building Your Data Lake on AWS
AWS March 2016 Webinar Series Building Your Data Lake on AWS
 
Best Practices Using Big Data on AWS | AWS Public Sector Summit 2017
Best Practices Using Big Data on AWS | AWS Public Sector Summit 2017Best Practices Using Big Data on AWS | AWS Public Sector Summit 2017
Best Practices Using Big Data on AWS | AWS Public Sector Summit 2017
 
¿Quién es Amazon Web Services?
¿Quién es Amazon Web Services?¿Quién es Amazon Web Services?
¿Quién es Amazon Web Services?
 
What's new in AWS?
What's new in AWS?What's new in AWS?
What's new in AWS?
 
Co 4, session 2, aws analytics services
Co 4, session 2, aws analytics servicesCo 4, session 2, aws analytics services
Co 4, session 2, aws analytics services
 
BDA307 Real-time Streaming Applications on AWS, Patterns and Use Cases
BDA307 Real-time Streaming Applications on AWS, Patterns and Use CasesBDA307 Real-time Streaming Applications on AWS, Patterns and Use Cases
BDA307 Real-time Streaming Applications on AWS, Patterns and Use Cases
 
Building a Modern Data Platform on AWS
Building a Modern Data Platform on AWSBuilding a Modern Data Platform on AWS
Building a Modern Data Platform on AWS
 
Getting Started with Amazon QuickSight
Getting Started with Amazon QuickSightGetting Started with Amazon QuickSight
Getting Started with Amazon QuickSight
 
Using AWS To Build A Scalable Machine Data Analytics Service
Using AWS To Build A Scalable Machine Data Analytics ServiceUsing AWS To Build A Scalable Machine Data Analytics Service
Using AWS To Build A Scalable Machine Data Analytics Service
 
Introduction to Amazon Athena
Introduction to Amazon AthenaIntroduction to Amazon Athena
Introduction to Amazon Athena
 
Getting started with Amazon Kinesis
Getting started with Amazon KinesisGetting started with Amazon Kinesis
Getting started with Amazon Kinesis
 
Getting started with amazon kinesis
Getting started with amazon kinesisGetting started with amazon kinesis
Getting started with amazon kinesis
 
AWSome Day Galway Intro
AWSome Day Galway IntroAWSome Day Galway Intro
AWSome Day Galway Intro
 
UiPath 23.4 Product Release Updates
UiPath 23.4 Product Release UpdatesUiPath 23.4 Product Release Updates
UiPath 23.4 Product Release Updates
 
Getting to 1.5M Ads/sec: How DataXu manages Big Data
Getting to 1.5M Ads/sec: How DataXu manages Big DataGetting to 1.5M Ads/sec: How DataXu manages Big Data
Getting to 1.5M Ads/sec: How DataXu manages Big Data
 
The AWS Big Data Platform – Overview
The AWS Big Data Platform – OverviewThe AWS Big Data Platform – Overview
The AWS Big Data Platform – Overview
 
Fast Track to Your Data Lake on AWS
Fast Track to Your Data Lake on AWSFast Track to Your Data Lake on AWS
Fast Track to Your Data Lake on AWS
 

More from MysoreMuleSoftMeetup

Mule event processing models | MuleSoft Mysore Meetup #47
Mule event processing models | MuleSoft Mysore Meetup #47Mule event processing models | MuleSoft Mysore Meetup #47
Mule event processing models | MuleSoft Mysore Meetup #47
MysoreMuleSoftMeetup
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45
Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45
Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45
MysoreMuleSoftMeetup
 
MuleSoft Integration with AWS Lambda [Serverless Function] | MuleSoft Mysore ...
MuleSoft Integration with AWS Lambda [Serverless Function] | MuleSoft Mysore ...MuleSoft Integration with AWS Lambda [Serverless Function] | MuleSoft Mysore ...
MuleSoft Integration with AWS Lambda [Serverless Function] | MuleSoft Mysore ...
MysoreMuleSoftMeetup
 
Munits in Mule 4 [Deep-Dive] | MuleSoft Mysore Meetup #40
Munits in Mule 4 [Deep-Dive] | MuleSoft Mysore Meetup #40Munits in Mule 4 [Deep-Dive] | MuleSoft Mysore Meetup #40
Munits in Mule 4 [Deep-Dive] | MuleSoft Mysore Meetup #40
MysoreMuleSoftMeetup
 
Unlocking Seamless End-to-End Automation with the MuleSoft Automation Suite |...
Unlocking Seamless End-to-End Automation with the MuleSoft Automation Suite |...Unlocking Seamless End-to-End Automation with the MuleSoft Automation Suite |...
Unlocking Seamless End-to-End Automation with the MuleSoft Automation Suite |...
MysoreMuleSoftMeetup
 
State Management in Mule applications | MuleSoft Mysore Meetup #42
State Management in Mule applications |  MuleSoft Mysore Meetup #42State Management in Mule applications |  MuleSoft Mysore Meetup #42
State Management in Mule applications | MuleSoft Mysore Meetup #42
MysoreMuleSoftMeetup
 
Anypoint Code Builder (ACB) + AI + Hands-On | MuleSoft Mysore Meetup #41
Anypoint Code Builder (ACB) + AI + Hands-On |  MuleSoft Mysore Meetup #41Anypoint Code Builder (ACB) + AI + Hands-On |  MuleSoft Mysore Meetup #41
Anypoint Code Builder (ACB) + AI + Hands-On | MuleSoft Mysore Meetup #41
MysoreMuleSoftMeetup
 
Transaction Management in Mule 4 | MuleSoft Mysore Meetup #39
Transaction Management in Mule 4 |  MuleSoft Mysore Meetup #39Transaction Management in Mule 4 |  MuleSoft Mysore Meetup #39
Transaction Management in Mule 4 | MuleSoft Mysore Meetup #39
MysoreMuleSoftMeetup
 
Exploring the realms of MuleSoft RPA | MuleSoft Mysore Meetup #38
Exploring the realms of MuleSoft RPA | MuleSoft Mysore Meetup #38Exploring the realms of MuleSoft RPA | MuleSoft Mysore Meetup #38
Exploring the realms of MuleSoft RPA | MuleSoft Mysore Meetup #38
MysoreMuleSoftMeetup
 
Payment Integration using Braintree Connector | MuleSoft Mysore Meetup #37
Payment Integration using Braintree Connector | MuleSoft Mysore Meetup #37Payment Integration using Braintree Connector | MuleSoft Mysore Meetup #37
Payment Integration using Braintree Connector | MuleSoft Mysore Meetup #37
MysoreMuleSoftMeetup
 
Azure DevOps Pipeline setup for Mule APIs #36
Azure DevOps Pipeline setup for Mule APIs #36Azure DevOps Pipeline setup for Mule APIs #36
Azure DevOps Pipeline setup for Mule APIs #36
MysoreMuleSoftMeetup
 
Mastering the Puzzle Integration Patterns Decoded | MuleSoft Mysore Meetup #35
Mastering the Puzzle Integration Patterns Decoded | MuleSoft Mysore Meetup #35Mastering the Puzzle Integration Patterns Decoded | MuleSoft Mysore Meetup #35
Mastering the Puzzle Integration Patterns Decoded | MuleSoft Mysore Meetup #35
MysoreMuleSoftMeetup
 
Discovering Seamless Integration: MuleSoft, AWS and Snowflake | MuleSoft Myso...
Discovering Seamless Integration: MuleSoft, AWS and Snowflake | MuleSoft Myso...Discovering Seamless Integration: MuleSoft, AWS and Snowflake | MuleSoft Myso...
Discovering Seamless Integration: MuleSoft, AWS and Snowflake | MuleSoft Myso...
MysoreMuleSoftMeetup
 
Application Design Thinking wrt Integration Architecture - Part II | MuleSoft...
Application Design Thinking wrt Integration Architecture - Part II | MuleSoft...Application Design Thinking wrt Integration Architecture - Part II | MuleSoft...
Application Design Thinking wrt Integration Architecture - Part II | MuleSoft...
MysoreMuleSoftMeetup
 
HL7 Integration using Mulesoft | MuleSoft Mysore Meetp #32
HL7 Integration using Mulesoft | MuleSoft Mysore Meetp #32HL7 Integration using Mulesoft | MuleSoft Mysore Meetp #32
HL7 Integration using Mulesoft | MuleSoft Mysore Meetp #32
MysoreMuleSoftMeetup
 
Application Design Thinking wrt Integration Architecture - Part I | MuleSoft ...
Application Design Thinking wrt Integration Architecture - Part I | MuleSoft ...Application Design Thinking wrt Integration Architecture - Part I | MuleSoft ...
Application Design Thinking wrt Integration Architecture - Part I | MuleSoft ...
MysoreMuleSoftMeetup
 
Slack and ChatGPT Integration using MuleSoft | MuleSoft Mysore Meetup #30
Slack and ChatGPT Integration using MuleSoft | MuleSoft Mysore Meetup #30Slack and ChatGPT Integration using MuleSoft | MuleSoft Mysore Meetup #30
Slack and ChatGPT Integration using MuleSoft | MuleSoft Mysore Meetup #30
MysoreMuleSoftMeetup
 
Platform configuration on CloudHub 2.0 | MuleSoft Mysore Meetup #29
Platform configuration on CloudHub 2.0 | MuleSoft Mysore Meetup #29Platform configuration on CloudHub 2.0 | MuleSoft Mysore Meetup #29
Platform configuration on CloudHub 2.0 | MuleSoft Mysore Meetup #29
MysoreMuleSoftMeetup
 
MuleSoft Integration with ChatGPT — Part 1 | MuleSoft Mysore Meetup #27
MuleSoft Integration with ChatGPT — Part 1 | MuleSoft Mysore Meetup #27MuleSoft Integration with ChatGPT — Part 1 | MuleSoft Mysore Meetup #27
MuleSoft Integration with ChatGPT — Part 1 | MuleSoft Mysore Meetup #27
MysoreMuleSoftMeetup
 

More from MysoreMuleSoftMeetup (20)

Mule event processing models | MuleSoft Mysore Meetup #47
Mule event processing models | MuleSoft Mysore Meetup #47Mule event processing models | MuleSoft Mysore Meetup #47
Mule event processing models | MuleSoft Mysore Meetup #47
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45
Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45
Exploring Gemini AI and Integration with MuleSoft | MuleSoft Mysore Meetup #45
 
MuleSoft Integration with AWS Lambda [Serverless Function] | MuleSoft Mysore ...
MuleSoft Integration with AWS Lambda [Serverless Function] | MuleSoft Mysore ...MuleSoft Integration with AWS Lambda [Serverless Function] | MuleSoft Mysore ...
MuleSoft Integration with AWS Lambda [Serverless Function] | MuleSoft Mysore ...
 
Munits in Mule 4 [Deep-Dive] | MuleSoft Mysore Meetup #40
Munits in Mule 4 [Deep-Dive] | MuleSoft Mysore Meetup #40Munits in Mule 4 [Deep-Dive] | MuleSoft Mysore Meetup #40
Munits in Mule 4 [Deep-Dive] | MuleSoft Mysore Meetup #40
 
Unlocking Seamless End-to-End Automation with the MuleSoft Automation Suite |...
Unlocking Seamless End-to-End Automation with the MuleSoft Automation Suite |...Unlocking Seamless End-to-End Automation with the MuleSoft Automation Suite |...
Unlocking Seamless End-to-End Automation with the MuleSoft Automation Suite |...
 
State Management in Mule applications | MuleSoft Mysore Meetup #42
State Management in Mule applications |  MuleSoft Mysore Meetup #42State Management in Mule applications |  MuleSoft Mysore Meetup #42
State Management in Mule applications | MuleSoft Mysore Meetup #42
 
Anypoint Code Builder (ACB) + AI + Hands-On | MuleSoft Mysore Meetup #41
Anypoint Code Builder (ACB) + AI + Hands-On |  MuleSoft Mysore Meetup #41Anypoint Code Builder (ACB) + AI + Hands-On |  MuleSoft Mysore Meetup #41
Anypoint Code Builder (ACB) + AI + Hands-On | MuleSoft Mysore Meetup #41
 
Transaction Management in Mule 4 | MuleSoft Mysore Meetup #39
Transaction Management in Mule 4 |  MuleSoft Mysore Meetup #39Transaction Management in Mule 4 |  MuleSoft Mysore Meetup #39
Transaction Management in Mule 4 | MuleSoft Mysore Meetup #39
 
Exploring the realms of MuleSoft RPA | MuleSoft Mysore Meetup #38
Exploring the realms of MuleSoft RPA | MuleSoft Mysore Meetup #38Exploring the realms of MuleSoft RPA | MuleSoft Mysore Meetup #38
Exploring the realms of MuleSoft RPA | MuleSoft Mysore Meetup #38
 
Payment Integration using Braintree Connector | MuleSoft Mysore Meetup #37
Payment Integration using Braintree Connector | MuleSoft Mysore Meetup #37Payment Integration using Braintree Connector | MuleSoft Mysore Meetup #37
Payment Integration using Braintree Connector | MuleSoft Mysore Meetup #37
 
Azure DevOps Pipeline setup for Mule APIs #36
Azure DevOps Pipeline setup for Mule APIs #36Azure DevOps Pipeline setup for Mule APIs #36
Azure DevOps Pipeline setup for Mule APIs #36
 
Mastering the Puzzle Integration Patterns Decoded | MuleSoft Mysore Meetup #35
Mastering the Puzzle Integration Patterns Decoded | MuleSoft Mysore Meetup #35Mastering the Puzzle Integration Patterns Decoded | MuleSoft Mysore Meetup #35
Mastering the Puzzle Integration Patterns Decoded | MuleSoft Mysore Meetup #35
 
Discovering Seamless Integration: MuleSoft, AWS and Snowflake | MuleSoft Myso...
Discovering Seamless Integration: MuleSoft, AWS and Snowflake | MuleSoft Myso...Discovering Seamless Integration: MuleSoft, AWS and Snowflake | MuleSoft Myso...
Discovering Seamless Integration: MuleSoft, AWS and Snowflake | MuleSoft Myso...
 
Application Design Thinking wrt Integration Architecture - Part II | MuleSoft...
Application Design Thinking wrt Integration Architecture - Part II | MuleSoft...Application Design Thinking wrt Integration Architecture - Part II | MuleSoft...
Application Design Thinking wrt Integration Architecture - Part II | MuleSoft...
 
HL7 Integration using Mulesoft | MuleSoft Mysore Meetp #32
HL7 Integration using Mulesoft | MuleSoft Mysore Meetp #32HL7 Integration using Mulesoft | MuleSoft Mysore Meetp #32
HL7 Integration using Mulesoft | MuleSoft Mysore Meetp #32
 
Application Design Thinking wrt Integration Architecture - Part I | MuleSoft ...
Application Design Thinking wrt Integration Architecture - Part I | MuleSoft ...Application Design Thinking wrt Integration Architecture - Part I | MuleSoft ...
Application Design Thinking wrt Integration Architecture - Part I | MuleSoft ...
 
Slack and ChatGPT Integration using MuleSoft | MuleSoft Mysore Meetup #30
Slack and ChatGPT Integration using MuleSoft | MuleSoft Mysore Meetup #30Slack and ChatGPT Integration using MuleSoft | MuleSoft Mysore Meetup #30
Slack and ChatGPT Integration using MuleSoft | MuleSoft Mysore Meetup #30
 
Platform configuration on CloudHub 2.0 | MuleSoft Mysore Meetup #29
Platform configuration on CloudHub 2.0 | MuleSoft Mysore Meetup #29Platform configuration on CloudHub 2.0 | MuleSoft Mysore Meetup #29
Platform configuration on CloudHub 2.0 | MuleSoft Mysore Meetup #29
 
MuleSoft Integration with ChatGPT — Part 1 | MuleSoft Mysore Meetup #27
MuleSoft Integration with ChatGPT — Part 1 | MuleSoft Mysore Meetup #27MuleSoft Integration with ChatGPT — Part 1 | MuleSoft Mysore Meetup #27
MuleSoft Integration with ChatGPT — Part 1 | MuleSoft Mysore Meetup #27
 

Recently uploaded

220711130100 udita Chakraborty Aims and objectives of national policy on inf...
220711130100 udita Chakraborty  Aims and objectives of national policy on inf...220711130100 udita Chakraborty  Aims and objectives of national policy on inf...
220711130100 udita Chakraborty Aims and objectives of national policy on inf...
Kalna College
 
Creation or Update of a Mandatory Field is Not Set in Odoo 17
Creation or Update of a Mandatory Field is Not Set in Odoo 17Creation or Update of a Mandatory Field is Not Set in Odoo 17
Creation or Update of a Mandatory Field is Not Set in Odoo 17
Celine George
 
220711130097 Tulip Samanta Concept of Information and Communication Technology
220711130097 Tulip Samanta Concept of Information and Communication Technology220711130097 Tulip Samanta Concept of Information and Communication Technology
220711130097 Tulip Samanta Concept of Information and Communication Technology
Kalna College
 
How to Manage Reception Report in Odoo 17
How to Manage Reception Report in Odoo 17How to Manage Reception Report in Odoo 17
How to Manage Reception Report in Odoo 17
Celine George
 
KHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGH
KHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGHKHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGH
KHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGH
shreyassri1208
 
FinalSD_MathematicsGrade7_Session2_Unida.pptx
FinalSD_MathematicsGrade7_Session2_Unida.pptxFinalSD_MathematicsGrade7_Session2_Unida.pptx
FinalSD_MathematicsGrade7_Session2_Unida.pptx
JennySularte1
 
skeleton System.pdf (skeleton system wow)
skeleton System.pdf (skeleton system wow)skeleton System.pdf (skeleton system wow)
skeleton System.pdf (skeleton system wow)
Mohammad Al-Dhahabi
 
Oliver Asks for More by Charles Dickens (9)
Oliver Asks for More by Charles Dickens (9)Oliver Asks for More by Charles Dickens (9)
Oliver Asks for More by Charles Dickens (9)
nitinpv4ai
 
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
Payaamvohra1
 
A Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two HeartsA Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two Hearts
Steve Thomason
 
220711130082 Srabanti Bag Internet Resources For Natural Science
220711130082 Srabanti Bag Internet Resources For Natural Science220711130082 Srabanti Bag Internet Resources For Natural Science
220711130082 Srabanti Bag Internet Resources For Natural Science
Kalna College
 
Brand Guideline of Bashundhara A4 Paper - 2024
Brand Guideline of Bashundhara A4 Paper - 2024Brand Guideline of Bashundhara A4 Paper - 2024
Brand Guideline of Bashundhara A4 Paper - 2024
khabri85
 
欧洲杯下注-欧洲杯下注押注官网-欧洲杯下注押注网站|【​网址​🎉ac44.net🎉​】
欧洲杯下注-欧洲杯下注押注官网-欧洲杯下注押注网站|【​网址​🎉ac44.net🎉​】欧洲杯下注-欧洲杯下注押注官网-欧洲杯下注押注网站|【​网址​🎉ac44.net🎉​】
欧洲杯下注-欧洲杯下注押注官网-欧洲杯下注押注网站|【​网址​🎉ac44.net🎉​】
andagarcia212
 
Observational Learning
Observational Learning Observational Learning
Observational Learning
sanamushtaq922
 
Information and Communication Technology in Education
Information and Communication Technology in EducationInformation and Communication Technology in Education
Information and Communication Technology in Education
MJDuyan
 
78 Microsoft-Publisher - Sirin Sultana Bora.pptx
78 Microsoft-Publisher - Sirin Sultana Bora.pptx78 Microsoft-Publisher - Sirin Sultana Bora.pptx
78 Microsoft-Publisher - Sirin Sultana Bora.pptx
Kalna College
 
Ch-4 Forest Society and colonialism 2.pdf
Ch-4 Forest Society and colonialism 2.pdfCh-4 Forest Society and colonialism 2.pdf
Ch-4 Forest Society and colonialism 2.pdf
lakshayrojroj
 
Data Structure using C by Dr. K Adisesha .ppsx
Data Structure using C by Dr. K Adisesha .ppsxData Structure using C by Dr. K Adisesha .ppsx
Data Structure using C by Dr. K Adisesha .ppsx
Prof. Dr. K. Adisesha
 
Skimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S EliotSkimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S Eliot
nitinpv4ai
 
INTRODUCTION TO HOSPITALS & AND ITS ORGANIZATION
INTRODUCTION TO HOSPITALS & AND ITS ORGANIZATION INTRODUCTION TO HOSPITALS & AND ITS ORGANIZATION
INTRODUCTION TO HOSPITALS & AND ITS ORGANIZATION
ShwetaGawande8
 

Recently uploaded (20)

220711130100 udita Chakraborty Aims and objectives of national policy on inf...
220711130100 udita Chakraborty  Aims and objectives of national policy on inf...220711130100 udita Chakraborty  Aims and objectives of national policy on inf...
220711130100 udita Chakraborty Aims and objectives of national policy on inf...
 
Creation or Update of a Mandatory Field is Not Set in Odoo 17
Creation or Update of a Mandatory Field is Not Set in Odoo 17Creation or Update of a Mandatory Field is Not Set in Odoo 17
Creation or Update of a Mandatory Field is Not Set in Odoo 17
 
220711130097 Tulip Samanta Concept of Information and Communication Technology
220711130097 Tulip Samanta Concept of Information and Communication Technology220711130097 Tulip Samanta Concept of Information and Communication Technology
220711130097 Tulip Samanta Concept of Information and Communication Technology
 
How to Manage Reception Report in Odoo 17
How to Manage Reception Report in Odoo 17How to Manage Reception Report in Odoo 17
How to Manage Reception Report in Odoo 17
 
KHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGH
KHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGHKHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGH
KHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGH
 
FinalSD_MathematicsGrade7_Session2_Unida.pptx
FinalSD_MathematicsGrade7_Session2_Unida.pptxFinalSD_MathematicsGrade7_Session2_Unida.pptx
FinalSD_MathematicsGrade7_Session2_Unida.pptx
 
skeleton System.pdf (skeleton system wow)
skeleton System.pdf (skeleton system wow)skeleton System.pdf (skeleton system wow)
skeleton System.pdf (skeleton system wow)
 
Oliver Asks for More by Charles Dickens (9)
Oliver Asks for More by Charles Dickens (9)Oliver Asks for More by Charles Dickens (9)
Oliver Asks for More by Charles Dickens (9)
 
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
 
A Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two HeartsA Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two Hearts
 
220711130082 Srabanti Bag Internet Resources For Natural Science
220711130082 Srabanti Bag Internet Resources For Natural Science220711130082 Srabanti Bag Internet Resources For Natural Science
220711130082 Srabanti Bag Internet Resources For Natural Science
 
Brand Guideline of Bashundhara A4 Paper - 2024
Brand Guideline of Bashundhara A4 Paper - 2024Brand Guideline of Bashundhara A4 Paper - 2024
Brand Guideline of Bashundhara A4 Paper - 2024
 
欧洲杯下注-欧洲杯下注押注官网-欧洲杯下注押注网站|【​网址​🎉ac44.net🎉​】
欧洲杯下注-欧洲杯下注押注官网-欧洲杯下注押注网站|【​网址​🎉ac44.net🎉​】欧洲杯下注-欧洲杯下注押注官网-欧洲杯下注押注网站|【​网址​🎉ac44.net🎉​】
欧洲杯下注-欧洲杯下注押注官网-欧洲杯下注押注网站|【​网址​🎉ac44.net🎉​】
 
Observational Learning
Observational Learning Observational Learning
Observational Learning
 
Information and Communication Technology in Education
Information and Communication Technology in EducationInformation and Communication Technology in Education
Information and Communication Technology in Education
 
78 Microsoft-Publisher - Sirin Sultana Bora.pptx
78 Microsoft-Publisher - Sirin Sultana Bora.pptx78 Microsoft-Publisher - Sirin Sultana Bora.pptx
78 Microsoft-Publisher - Sirin Sultana Bora.pptx
 
Ch-4 Forest Society and colonialism 2.pdf
Ch-4 Forest Society and colonialism 2.pdfCh-4 Forest Society and colonialism 2.pdf
Ch-4 Forest Society and colonialism 2.pdf
 
Data Structure using C by Dr. K Adisesha .ppsx
Data Structure using C by Dr. K Adisesha .ppsxData Structure using C by Dr. K Adisesha .ppsx
Data Structure using C by Dr. K Adisesha .ppsx
 
Skimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S EliotSkimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S Eliot
 
INTRODUCTION TO HOSPITALS & AND ITS ORGANIZATION
INTRODUCTION TO HOSPITALS & AND ITS ORGANIZATION INTRODUCTION TO HOSPITALS & AND ITS ORGANIZATION
INTRODUCTION TO HOSPITALS & AND ITS ORGANIZATION
 

MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Cloud Native Meetup #4

  • 1. AWS - Cloud Native MuleSoft Meetup 11-May-2024 Unveiling the Heart of MuleSoft Intelligent Document Processing - AWS Textract
  • 2. Organizers Shubham Chaurasia Billennium India Integration Developer /in/shubhamchaurasia1 Robin Sinha Specialist II /in/robin-sinha
  • 3. Speakers • Sr. Integration Specialist • Working in LTIMindTree • 5+ Years of Experience • MuleSoft Certified • IBM Certified PRIYA SHAW
  • 4. Speakers • One of the Youngest MuleSoft Ambassdor • Integration Developer in Billennium India • 4+ years of Experience in Integrations • MCIA, MCD L1, MCPA, MCIA, MCHS Certified, • Salesforce, AWS, GCP, Azure, Workato Certified • Mulesoft Meetup Leader | Mentor | Blogger | Speaker • AWS Community Builder • https://www.linkedin.com/in/shubhamchaurasia1/ • https://medium.com/@myid535 Shubham Chaurasia
  • 5. AGENDA ● Introduction to AWS ● AWS Textract ● Document Processing using AWS Textract ● AWS Textract UseCases ● Demo - Textract Integration with MuleSoft ● QnA ● Networking time
  • 6. AWS Top Product Categories
  • 7. Need for processing documents Search & Discovery Compliance and control Business process automation
  • 8. How documents are processed today Manual Processing Optical character recognition (OCR) Rules and template- based extraction
  • 9. Conventional Technologies Fall Short Structured Data Dependencies Flexibility Constraints Lack of Data Validation Integration with Downstream Systems AI Innovation Challenge Accuracy Concerns Optical Character Recognition (OCR) Custom Trained AI Models
  • 10. Challenges for processing documents Expensive Error-prone Time-consuming
  • 11. Processing a substantial volume and variety of documents demands significant human hours Why You Need A Scalable Document Processing Solution Current technology struggles to work with evolving tech stacks and AI solutions, hindering the delivery of a complete end-to-end document automation The makeshift, point-to-point solution results in an inefficient and non- scalable ROI
  • 12. Extract and structure data faster in any format with AI-powered accuracy Intelligent Document Processing Maximize efficiency, minimize costs Automate the entire document lifecycle and incorporate manual review when necessary Automate complete workflows beyond documents Seamlessly integrate extracted data with downstream systems for a fully streamlined workflow Automate complete workflows beyond documents Integrate extracted data with downstream systems for a fully streamlined workflow Accelerate time to market Jumpstart with pre-trained models designed for common document types $2,413.13 69 Bank Street Apr 2024 GA
  • 14. AWS Textract • Detect text in typed and handwritten forms across various documents. • Extract structured data like text, forms, and tables using Amazon Textract Document Analysis API. • Use Queries to specify and extract information from documents with Amazon Textract Analyze Document API. • Analyze expenses from invoices and receipts with AnalyzeExpense API. • Process U.S. government-issued ID documents like driver's licenses and passports using AnalyzeID API. • Automate routing and analysis of mortgage loan packages with Analyze Lending workflow. • Customize Queries with your data for tailored processing needs.
  • 15. Amazon Textract features Text extraction Table extraction Form extraction
  • 16. Features Choose one of the following features based on your use case. • DetectDocumentText - OCR Extracts raw text. • AnalyzeDocument - Tables Extracts all tables and table cells in the document. • Analyze Document - Queries Extracts document data based on custom queries. • AnalyzeDocument - Forms Extracts all key-value pairs in the document. • Analyze Document - Signatures Extracts signatures from documents. • AnalyzeDocument - Layout Extracts titles, paragraphs, headers, section headers, lists, page numbers, footers, table areas, key-value areas and figure areas. • Analyze ID Extracts information from ID.
  • 17. AWS Textract UseCases Intelligent search indexes Detect text in image and PDF files Natural Language Processing controlling text grouping and extraction, including word, line, and table cell extraction Accelerate data capture and normalization diverse sources such as financial documents and medical notes Automate data extraction Integrate APIs into existing workflows for structured data extraction
  • 18. AWS Textract Customers Black Knight drives efficiency and delivers cost savings Elevance Health automated classification of attachments for claims by 90% Paytm achieved cost savings of up to 75% with Amazon Textract
  • 19. Amazon Textract: Sync and async Synchronous Asynchronous Supports single-page documents such as images (e.g., mobile capture) For multi-page documents, up to 3,000 pages Document Document Amazon Textract Amazon Textract Get results Notification Get results With synchronous processing, Amazon Textract can analyze single-page documents for applications where latency is critical. Amazon Textract also provides asynchronous operations to extend support to multipage documents.
  • 20. Architecture - Form capture Input A customer uses a mobile app to capture a photo of an employment application form. Customer Application Customers experience real- time capture of their information by taking a photo instead of manual data entry. Amazon Textract The API is integrated into the end-user application to automatically extract text from the form and auto-populate the form fields. Database User submitted data is loaded into a database.
  • 21. Amazon Textract: Text extraction Blocks: PAGE, LINE, WORD Document Word Output Line1
  • 22. Text extraction API: DetectDocumentText Name Description Blocks List of blocks identified from the document ID Unique ID of the unit Relationships CHILD Block type PAGE, LINE, WORD Pages Contains number of pages in the document Name Description Document Blob or Amazon S3 object Response Request