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Form Parsing with Document AI (Python)

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Document AI Form Parser to parse a handwritten form with Python.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Uses Python, a versatile language used in data science, machine learning, and backend web development, making it applicable to a wide range of projects
Takes place in the Google Cloud console, which provides a real-world environment for learning and applying Document AI skills
Presented by Google Cloud, which is recognized for its cloud computing infrastructure and its contributions to artificial intelligence and machine learning

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Reviews summary

Practical lab for document ai form parsing

According to learners, this is an excellent hands-on lab that provides clear, step-by-step instructions for using Google Cloud's Document AI Form Parser with Python to tackle the practical task of handwritten form parsing. Many found it easy to follow and a great starting point for this specific service. However, students also note its limited scope, as it focuses exclusively on this single use case and is quite basic, not delving into more complex scenarios or the full range of Document AI features. Some reviewers mentioned that the lab assumes some familiarity with Google Cloud Platform, which could pose a warning or hurdle for complete newcomers to the platform itself.
Might require prior Google Cloud experience.
"Also, assumes some familiarity with Google Cloud, which might be a hurdle for complete newcomers."
"Found it a bit confusing... I had trouble with the GCP setup initially."
"Might be better for someone with more prior experience in GCP."
Step-by-step guide is easy to follow.
"The instructions were clear, and the Google Cloud console setup was smooth."
"The step-by-step guide is easy to follow. Great job!"
"The lab is okay. The instructions are clear for the steps provided."
"It provides a very clear process for the handwritten form parsing using Python and Document AI."
Excellent practical lab experience.
"Excellent hands-on lab! It walks you through the process step-by-step and shows exactly how to use the Document AI API with Python. Very practical and directly applicable."
"This lab is fantastic for getting started with Google Cloud Document AI. The hands-on approach makes it easy to grasp the concepts."
"Simple, effective, and practical. This lab does exactly what it says: shows you how to parse a handwritten form using Document AI and Python."
"Useful lab to understand the basics of Document AI Form Parser. The Python script is a helpful starting point."
Focuses on one basic use case.
"Good lab overall. It provides a solid example of using Document AI. However, it's quite basic. I would have liked to see more complex examples or discussion..."
"But it felt very limited. It only covers a single use case (handwritten form parsing). I expected a broader view of Document AI capabilities."
"I agree with others that it's quite focused on one specific task, so managing expectations is key."
"Not a comprehensive course on Document AI, just this one specific use case."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Form Parsing with Document AI (Python) with these activities:
Review Python Fundamentals
Reviewing Python fundamentals will ensure you can effectively interact with the Document AI API and process the parsed data.
Browse courses on Python Basics
Show steps
  • Complete a Python tutorial.
  • Practice writing basic Python scripts.
  • Familiarize yourself with data structures.
Automate the Boring Stuff with Python
Reading this book will help you automate tasks related to form parsing and data extraction using Python.
View Automate the Boring Stuff with Python, 2nd... on Amazon
Show steps
  • Read the chapters on file handling and web scraping.
  • Practice the examples provided in the book.
Follow Document AI Tutorials
Following tutorials will provide hands-on experience with Document AI and its various features, including form parsing.
Show steps
  • Find tutorials on the Google Cloud documentation.
  • Work through the tutorials step-by-step.
  • Experiment with different Document AI features.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Parse Sample Forms
Practicing parsing different types of forms will improve your ability to configure the Form Parser effectively.
Show steps
  • Gather a collection of sample forms.
  • Use the Document AI Form Parser to parse each form.
  • Analyze the results and identify areas for improvement.
Build a Form Processing Pipeline
Building a complete form processing pipeline will solidify your understanding of Document AI and its integration with other services.
Show steps
  • Design the architecture of the pipeline.
  • Implement the pipeline using Python and Document AI.
  • Test the pipeline with real-world forms.
Create a Form Parsing Demo
Creating a demo will allow you to showcase your skills and understanding of Document AI form parsing.
Show steps
  • Choose a specific use case for form parsing.
  • Develop a demo application using Python and Document AI.
  • Present the demo to others and gather feedback.
Contribute to a Document AI Library
Contributing to open source projects will deepen your understanding of Document AI and its ecosystem.
Show steps
  • Find an open-source Document AI library on GitHub.
  • Identify areas where you can contribute.
  • Submit pull requests with your contributions.

Career center

Learners who complete Form Parsing with Document AI (Python) will develop knowledge and skills that may be useful to these careers:
Robotic Process Automation Developer
A robotic process automation developer designs, develops, and implements software robots to automate tasks. The work often involves automating data entry from forms. This course may be particularly relevant for a robotic process automation developer because the course focuses on methods for automating tasks related to form parsing. This course may help an automation developer understand how to extract that data efficiently using Document AI. This course introduces relevant skills to an automation developer who wishes to make use of form-processing.
See salaries and explore the career path for Robotic Process Automation Developer
Automation Engineer
An automation engineer designs and implements automated systems. The work often involves creating tools to streamline processes, and the form parsing skills learned in this course may be relevant for automating data extraction from forms. The course helps with skills related to using Document AI to automate the processing of forms, which can be a key component of automation projects. The course provides hands-on experience with tools that may be useful in this role.
See salaries and explore the career path for Automation Engineer
Records Management Specialist
A records management specialist maintains and organizes important information for an organization. They ensure that documents including forms are properly categorized, stored, and retrievable. This role often uses software to organize and process data. The skills learned in this course may help in understanding how to parse and extract information from forms, which is a crucial task for a records management specialist. The course helps in providing a hands-on understanding of data extraction techniques.
See salaries and explore the career path for Records Management Specialist
Document Processing Clerk
A document processing clerk is responsible for handling and organizing various documents, including forms. Their work involves reviewing, categorizing, and entering data from these documents into relevant systems. This course may be particularly helpful for a document processing clerk by understanding how to use Python and Document AI to accurately parse forms. The course provides a practical understanding of form handling.
See salaries and explore the career path for Document Processing Clerk
Data Engineer
A data engineer builds and manages data pipelines for efficient processing. The work often involves setting up data extraction and transformation systems. The form parsing skills learned in the course may help a data engineer understand how to implement data extraction for forms. A data engineer may use this course to understand a particular tool that is helpful in a data processing pipeline. This may help optimize data ingestion and data processing flows.
See salaries and explore the career path for Data Engineer
Business Process Analyst
A business process analyst examines organizational workflows and identifies areas for improvement. The work involves analyzing existing processes and designing more efficient ones. This process may be improved with the help of the skills in form parsing learned in this course, especially where process automation is considered. The course helps by introducing techniques where data from various forms may be extracted and analyzed for efficient business process.
See salaries and explore the career path for Business Process Analyst
Machine Learning Engineer
A machine learning engineer develops and deploys machine learning models. This course may be useful for a machine learning engineer who intends to implement machine learning for data extraction from forms. The skills learned in the course may help build a foundation for creating more sophisticated form processing solutions. The practical experience of working with Document AI may provide a practical grounding in model development. An advanced degree such as a master's or PhD is generally required for this role.
See salaries and explore the career path for Machine Learning Engineer
Information Specialist
An information specialist manages and organizes information resources for an organization. The work often involves extracting, categorizing, and retrieving data from various types of documents. This course may help in understanding the application of document processing with the help of Document AI. The skills learned in this course may lead to efficient information retrieval systems. This course may help provide methods for parsing and extracting data from forms.
See salaries and explore the career path for Information Specialist
Software Developer
A software developer creates and maintains software applications. A software developer who wishes to work in the area of data extraction and document processing may find this course useful, as it provides experience in parsing forms with Python using Google Cloud's Document AI. The course may help build the foundation for developing specialized solutions related to form processing. This hands-on experience may help guide design and implementation.
See salaries and explore the career path for Software Developer
Research Associate
A research associate supports research projects by collecting, organizing, and analyzing data. This may involve gathering data from various forms of documentation. The skills taught in this course may be particularly useful for a research associate in helping with handling data from forms and documents. The course provides useful hands-on experience with software and tools that can help handle data extraction efficiently.
See salaries and explore the career path for Research Associate
Data Analyst
A data analyst interprets and analyzes data using statistical techniques. The work may sometimes involve obtaining data from forms. This course may be useful for a data analyst, as it provides hands-on experience with parsing and extracting data from forms. A data analyst may use extracted data for statistical analysis and reporting and this course helps in understanding how to extract data for a more efficient analysis.
See salaries and explore the career path for Data Analyst
Data Entry Specialist
A data entry specialist is responsible for accurately inputting information into databases and systems. This role often involves processing forms, and the skills learned in this course may help build a foundation for understanding how to handle data from various forms. The course focuses on parsing document forms, which is directly relevant to the kind of work a data entry specialist performs daily. The course helps in providing familiarity with software that can be used for processing and extracting form based information.
See salaries and explore the career path for Data Entry Specialist
Technical Support Specialist
A technical support specialist provides assistance to users with software or hardware. This role may involve helping users with document processing tools or workflows. The skills gained in this course help a technical support specialist understand the underlying mechanisms of how to extract data from forms, especially if a user runs into problems or needs assistance. The practical aspect of this course gives knowledge that may be useful in troubleshooting problems related to form processing.
See salaries and explore the career path for Technical Support Specialist
Data Architect
A data architect designs and manages an organization's data infrastructure. They often create the overall data strategy and may need to design systems that handle complex data extraction from various sources such as forms. This course may be helpful as it helps in learning skills related to efficient and effective form processing. A data architect will need to understand what is possible and practical to implement. The course helps in providing hands-on experience with a particular tool. An advanced degree such as a master's or PhD is generally recommended for this role.
See salaries and explore the career path for Data Architect
Information Architect
An information architect designs the structure and organization of information systems. The work includes ensuring information is easily accessible and usable. This role may involve analyzing and organizing information from various sources, such as forms. The skills in the course may help in understanding practical methods of handling data extraction from forms, which is an important element in the overall information architecture. The course may increase the awareness about form-based information processing. An advanced degree such as a master's or PhD is generally recommended for this role.
See salaries and explore the career path for Information Architect

Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Form Parsing with Document AI (Python).
Cover image
Automate the Boring Stuff with Python, 2nd Edition
Save
Provides a practical introduction to Python programming, focusing on automating everyday tasks. It covers topics like working with files, web scraping, and interacting with APIs, all of which are relevant to using Document AI. While not directly focused on Document AI, it provides a solid foundation in Python automation.
Automate the Boring Stuff with Python, 2nd Edition:...
Paperback
$$
Automate the Boring Stuff with Python, 2nd Edition:...
Kindle Edition
$$

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Effort
45 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
January 20, 2025 - February 3, 2025
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Uses Python, a versatile language used in data science, machine learning, and backend web development, making it applicable to a wide range of projects
Takes place in the Google Cloud console, which provides a real-world environment for learning and applying Document AI skills
Presented by Google Cloud, which is recognized for its cloud computing infrastructure and its contributions to artificial intelligence and machine learning
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