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QEM (Quick Extraction Models)

The Document Intelligence QEM uses powerful Optical Character Recognition (OCR) capabilities to analyze and extract key fields and line items from sales QEMs, utility bills, and purchase orders.

QEMs can be of various formats and quality including phone-captured images, scanned documents, and digital PDFs

QEM Processing Explained

Imagine you run a bank and constantly deal with customer onboarding, loan applications, and other processes that require identity verification. Traditionally, this would involve manually reviewing a pile of passports, driver's licenses, and other IDs, painstakingly extracting names, addresses, expiry dates, and other crucial information. This is a slow, error-prone task that can lead to bottlenecks and frustrated customers.

Here's where Document Intelligence's Identity document (ID) model steps in. It's an innovative solution that combines cutting-edge technology to automate the entire ID processing workflow. Let's delve deeper into how it works:

Power of Two Technologies: The ID model combines two key technologies:

Optical Character Recognition (OCR): This acts like a digital reading machine. It can take a scanned image of an ID document and convert the text within it into a format that a computer can understand.
Deep Learning Models: These are essentially super-smart AI assistants trained on massive datasets of ID documents. They can learn to recognize the different sections of an ID, like the photo area, name field, or expiry date, regardless of slight variations in layout or design.

Extracting Key Information: By working together, OCR and deep learning models can analyze an ID image, pinpoint the relevant information fields, and extract all the critical details. This includes things like names, dates of birth, addresses, ID numbers, and expiry dates.
Structured Output: The extracted information isn't dumped in a raw format. The ID model organizes it into a clean and user-friendly structure, like a JSON file. Think of it as a digital spreadsheet with labeled columns for each data point, such as "First Name," "Date of Birth," and "ID Number." This makes it easy for your systems to integrate and utilize the extracted information.

What is QEM Processing?

QEM processing is like having a super-powered assistant for your bills and receipts. It uses special technology called Optical Character Recognition (OCR) to analyze and understand the text on your QEM. Like magic, it can extract key details such as:

Name
Billing Address
Due Date
Amount Due
Line Items (e.g., product descriptions, quantities, prices)
Date of Birth
Passports (both booklets and cards)
Driver's licenses from various regions like the US, Europe, India, Canada, and Australia
Various US identity documents, including Green Cards, Social Security cards, and Military IDs
European and Canadian identification cards and residency permits
Indian ID cards like PAN cards and Aadhaar cards
Australian photo cards and digital IDs
Skills
Experience
Languages known
Education
Work History
Product
Vendor
Purchase Order Number
Date
Bill To
Ship To
Item Description
Unit Price
Unit Quantity

Such examples of extracted information are then presented in a clear and organized way.

This makes it much easier to:

Automate payments, accounting, ID’s and other time-consuming manual tasks
Reduce errors and save time

Our QEM Processing Model

We offer a powerful QEM processing quick extraction model that can handle a variety of documents, including:

Utility Bills
Sales Orders
Purchase Orders
Forms
Resumes
ID Proofs
Healthcare Documents

It's like having a multilingual translator for your QEM!

What can you use it for?

Automated QEM Processing: This lets you integrate the extracted data directly into your accounting software, streamlining your accounts payable (AP) workflow.
Save Time & Money: No more manual data entry! This saves you valuable time and reduces the risk of errors.

How to Use It

Simply provide a clear photo or high-quality scan of your QEM. We support various file formats, including:

PDF
Images (JPEG, PNG, BMP, TIFF)
Microsoft Office Documents (Word, Excel, PowerPoint)

Here are some additional things to keep in mind:

Free plans have limitations (e.g., number of pages processed).
There are restrictions on file size and image dimensions.
Password-protected PDFs need to be unlocked before submission.

Conclusion

QEM processing automates the tedious task of extracting information from QEMs, saving you time and money. It uses optical character recognition (OCR) to read data from documents and then presents the data in a clear and organized way. This allows for easier review, automated payments, other extracted important info and reduced errors. QEM can handle various documents in multiple languages and integrates with accounting software.

Why training a custom model is recommended

Imagine this: You want a language translator that understands your specific needs and terminology. Out-of-the-box translators are great for general use, but they might not be familiar with industry jargon or your company's unique way of phrasing things.

Training a custom model is like teaching the translator your own language. By providing it with examples of your data and the desired results, we can create a model that's much more accurate for your specific use case.

This means you'll get:

Fewer errors: The model will be better at understanding your inputs and producing the correct outputs.
Improved efficiency: You won't have to spend as much time correcting mistakes or clarifying your needs.
Better results: The model will be tailored to your specific goals, leading to more accurate and relevant outcomes.

Think of it as an investment in getting the most out of this technology for your unique needs.