Retrieve
Finds and retrieves relevant email attachments for processing.
Private Project | Workflow Automation
Document and Email Workflow Automation
A Windows desktop tool that downloads email attachments, reads scanned forms with OCR, renames files, and organizes the results.
Project overview
From email attachment to organized file.
The tool retrieves email attachments, reads scanned PDF forms with OCR, identifies useful document details, and files the results. It was built for staff who need the result without working in Python or handling each file by hand.
The problem
Too much of the process was manual.
The original workflow required staff to manually open messages, download attachments, review scanned forms, identify important document details, rename files, and organize the results. The project was designed to make the process faster and easier to check.
Solution
How the workflow works.
Each file moves through the same steps, from email retrieval to a named output file and processing log.
Email
Attachment Retrieval
PDF Processing
OCR and Data Extraction
File Naming
Organized Output
Processing Log
Key functionality
What the application handles.
Read
Processes scanned PDF forms and uses OCR to identify document names and dates.
Organize
Renames files using extracted information and places them into structured folders.
Track
Records completed and failed processing so outcomes can be reviewed.
Package
Supports installer-based deployment for staff who do not work directly with source code.
Hand off
Includes predictable folders and documentation so another person can run and check the workflow.
Technology and implementation
Built with Python for Windows.
The application combines OCR, PDF processing, email retrieval, file handling, logs, error checks, and Windows packaging. The public case study stays at the system level because the source code and client data are private.
Error handling
The result has to be easy to check.
Clear processing logs record completed and failed work for review.
Predictable output folders keep processed documents organized.
Graceful failure handling prevents one failed document from hiding the overall result.
Validation before file changes reduces incorrect moves or renaming.
Packaged deployment makes the workflow usable without a development environment.
Operational documentation supports non-technical use and repeatable handoff.
Deployment
Packaged for non-technical users.
The application can be packaged as a Windows installer, so staff can run it without setting up Python or managing source files. The same installer also makes setup consistent on another workstation.
Privacy and confidentiality
What I left out.
This case study does not include company names, employee information, email addresses, document contents, credentials, source code, or private application data.
Lessons learned
What I learned from the build.
Input quality matters
Scanned documents require validation and clear failure handling because image quality and layouts can vary.
Logs are part of the product
Staff need to know what completed, what failed, and what requires review.
Deployment matters
A script is not finished until someone else can install it, run it, and understand the output.
Contact
Have a similar workflow in mind?
I'm happy to discuss the technical approach, support needs, or automation opportunities.