Zone OCR and Dynamic OCR

Other document scanning applications in this price range use Zone OCR to obtain index data from the page.

SimpleIndex improves upon this time-tested but limited model with its Dynamic OCR feature.

Let's look at the difference between the two methods:

Zone OCR

Zone OCR is used to read document indexes or tags from text on the page. It is a great way to automate the data entry associated with scanning documents.

However, there are several limitations to zone OCR that must be overcome:

Index information must be in the exact same place on every page
Documents shift and skew during scanning, causing the zones to not line up
If surrounding lines or text on the document are too close, they can encroach on the zone

SimpleIndex overcomes these limitations by using Dynamic OCR technology to extract values from anywhere on the page. Our simplified version of Dynamic OCR works great for many types of documents at a fraction of the cost of other solutions.

Index information can appear anywhere
Unwanted characters are ignored
Find unique patterns of letters and numbers using Template Matching
Use Dictionary Matching to find a value from a list of possible values
Use Cloud OCR or ChatGPT to perform AI analysis and intelligent data extraction

Download document scanning and OCR software.

Dynamic OCR and AI Assisted OCR

AI assisted OCR is the popular solution to the problem of unstructured and semi-structured documents. But there are many scenarios where simple Template and Dictionary matching provide much better results. And all of these solutions are much more expensive than SimpleIndex!

Often there are only a few key values that need to be extracted, and a wide variety of possible layouts. AI-based document training requires manual processing of several samples of each possible format before it learns how to read them reliably, where a Template could read them all with a single setting. Dictionary matching can perform advanced classification without analyzing thousands of samples.

When data extraction requires natural language processing, field label extraction, handwriting, AI document analysis, or other advanced features, SimpleIndex offers Cloud OCR and ChatGPT integrations.

Dynamic OCR Examples

In the video we see how SimpleIndex approaches a typical Zone OCR example. With SimpleIndex you can use large zones that give a wide margin for error. Template and Dictionary matching are then used to extract the 7-digit Account Number, 6-digit Order Number and Company Name. SimpleIndex discards the surrounding text and keeps the correct value.

Another common example is finding a unique identifier, for example a social security number, that could appear anywhere on the page. Simply enter the template ###-##-#### and SimpleIndex will search the full OCR text until it finds a match. Since only one social security number is likely to appear on the page, a match on this pattern is almost certainly the required value.

With dictionary matching, you can give SimpleIndex a list of possible values and it will automatically search the zone or page for each possible value until it finds a match.

Many dynamic forms processing applications can be implemented using these simple algorithms. This makes SimpleIndex far more versatile than other zone OCR solutions that require the index value to be in the exact same location on every page. Yet SimpleIndex costs only a fraction of the price!

SimpleIndex‘s dynamic forms processing can greatly speed up data entry by eliminating a good percentage of indexing work. For many this can put the labor cost of scanning within their reach.

Dynamic OCR can also be applied to MS Office and PDF files, creating a fully automated process for intelligently indexing and reorganizing electronic documents.

MS Office Document OCR Text Parsing Video

Amazon AWS Textract Cloud OCR

With Textract you can capture data from almost any type of form, including handwritten ones! Textract identifies labeled text anywhere on the document and returns the label text along with the corresponding value. Map the labels to index fields in SimpleIndex and you are ready to capture that data no matter where it appears on the page.

SimpleIndex Cloud OCR with Amazon Textract

Textract uses machine learning with a huge model based on the billions of pages processed using Textract to provide the most accurate OCR and form field extraction solution available.

By default, Textract is only available as an API and requires custom coding to integrate it into your document workflows. SimpleIndex turns it into a fully-featured batch document and data processing app that is ready to use out-of-the-box.

Since there are no templates to configure or train, setup can be done in hours instead of days or weeks months required by other enterprise data capture solutions.

Pay-as-you-go pricing makes SimpleIndex with Textract the most affordable way to batch process forms for projects with less than 50,000 pages per year to process, especially if you need to read handwriting or have forms with many layout variations.

Got a preference for ABBYY Cloud OCR, Microsoft Azure AI Vision, or Google Cloud Vision OCR? These can be quickly added for a small customization fee. Contact Us for a quote!

Wiki: How to configure AWS Textract OCR in SimpleIndex

Handprint and Handwriting Recognition

SimpleIndex 11 adds handprint recognition capabilities to the FineReader OCR engine to allow recognition of simple form fields and printed text. It works best with constrained form fields, with letter boxes for each character like you see on tax forms and credit applications. And no additional licensing or per-page costs are required!

For unconstrained handprint and cursive handwriting, use the Cloud OCR option to achieve the best recognition accuracy available. This option requires additional AWS processing fees for each page.

Support for Regular Expressions

SimpleIndex OCR has a simple built-in template format, as well as support for Regular Expressions. Regular Expressions (RegEx for short) let you define complex search patterns to extract matching values from the text. This greatly enhances the functionality of the dynamic OCR in SimpleIndex, making it capable of finding variable-length fields with no distinct pattern.

Regular Expressions are a commonly used in text parsing applications. The Perl programming language makes extensive use of RegEx, as do UNIX utilities like “grep”. Many programmers and IT personnel are already familiar with RegEx and can create complex expressions without specific training.

Click here for a reference guide to Regular Expressions