Document Capture Software

Most online and offline documents can be categorized as semi-structured data. They are not immediately processable by other systems. Initially, template based software attempted to bridge this gap and allow companies to automatically extract data from documents. Since the last few years, vendors have built machine learning models using millions of sample documents. These models are able to automatically extract data from documents with a high accuracy rate

To be categorized as a document capture software, a product must be able to automatically extract data out of a specific type (e.g. invoice) or various different types of documents.

Innovators Specialists Leaders Challengers Market Presence Momentum
Popularity
Satisfaction
Maturity
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Compare Document Capture Software
Results: 72

AIMultiple is data driven. Evaluate 72 products based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the icon to learn how it is calculated based on objective data.

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91.27504293229096
94.03650305446976
1.189188647321625
100
0.02757983500363709
66.42190183268185
top10
4star
Datawatch Monarch
4.42
100%
0%
100%
= 1 review
= 4 employees
= 100,000 visitors

Monarch is desktop-based, self-service data preparation, offering the easiest way to access, clean, prepare and blend any data - including PDFs and semi-structured text files. Accelerate your reporting and analytics with easy, powerful data prep.

71.26255018013087
72.19470712961382
1.189188647321625
76.7649160933575
0.00034474793754546364
62.87313763478432
top10
5star
Docparser
4.50
100%
0%
100%
= 1 review
= 4 employees
= 100,000 visitors

Extract data from PDF files & automate your workflow with our reliable document parsing software.

59.3373354340938
59.77609385477839
0.5270272137302247
63.56342001429696
0.3556074975781457
55.38850964793258
top10
4star
Kofax Capture
4.10
100%
0%
66%
= 1 review
= 4 employees
= 100,000 visitors

Accelerate business processes with advanced capture that transforms all types of documents into actionable information that's delivered into core systems.

58.88493083861584
59.25489122140359
0.013513187219140197
63.03667604611584
0.00034474793754546364
55.55528739352611
5star
Parseur.com
4.90
100%
0%
1%
= 1 review
= 4 employees
= 100,000 visitors

The #1 email parser software. Automatically extract text from emails and documents.

56.662249805431095
56.93984354732406
0.6486482463722604
57.36211074460946
100
54.16390612839444
top5 , top10
4star
IBM Datacap
3.70
100%
100%
81%
= 1 review
= 4 employees
= 100,000 visitors

IBM® Datacap helps you streamline the capture, recognition and classification of business documents and extract important information.

Popularity

Searches with brand name

These are the number of queries on search engines which include the brand name of the product. Compared to other product based solutions, document capture software is more concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 82% (4% more than average) of search queries in this area.

Web Traffic

Document capture software is a highly concentrated solution category in terms of web traffic. Top 3 companies receive 89% (11% more than average solution category) of the online visitors on document capture software company websites.

Satisfaction

Document capture software is less concentrated than average in terms of user reviews. Top 3 companies receive 57% (1% less than average solution category) of the reviews on document capture software company websites. Product satisfaction tends to be slightly higher for more popular document capture software products. Average rating for top 3 products is 4.3 vs 4.2 for average document capture software product review.

Leaders Average Review Score Number of Reviews

Maturity

Number of Employees

Median number of employees that provide document capture software is 42 which is 18 less than the median number of employees for the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 47 companies (1 less than average solution category) with >10 employees are offering document capture software. Top 3 products are developed by companies with a total of 1-5k employees. However, all of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.

IBM
Amazon Web Services (AWS)
OpenText
Nuance

Learn More About Document Capture Software

How is document capture software different than OCR?

While Optical Character recognition (OCR) technology captures all text in images and files, document capture goes one step further and converts text into structured data. Examples of structured data in images and documents include key value pairs (e.g. bank account numbers, customer names in invoices) and tables

What is document capture software?

Document capture software specialize in extracting data out of unstructured data.

There are 3 types of data: Structured, semi-structured and unstructured:

  • Structured data forms 5-10% of all data. It is in tabular form and is processable without errors by machines. Structured data include most excel tables, data in SQL databases, XML or JSON files that follow strict structure requirements
  • Semi-structured data forms 5-10% of all data. It is not in tabular form but still has a structure though this structure is not explicitly declared and not followed 100% of the time. Semi-structured data can be processed with low error rates but achieving zero errors is challenging. Semi-structured data include invoice slips, most PDF forms, XML or JSON files which do not follow strict structure requirements
  • Unstructured data forms ~80% of all data. It includes free text and images that do not follow any explicit structure. It is challenging to extract structured data out of these documents with low error rates. If unstructured data is actually found to follow a structure and that structure is identified, it can be correctly categorized as semi/structured data based on the strictness by which the identified structure is followed throughout the document.

What is the error rate?

Error rate in data extraction can be measured in a few ways but not every error has the same cost. Imagine making an incorrect payment because your data extractor made an incorrect character reading with high confidence. This is a costly error. However, failing to read a character and flagging it as unreadable is a less costly issue. Therefore it is important to focus on cases where data extraction tools make extraction errors while claiming a high level of confidence. These should be minimized.