Docparser is a web-based document processing software which allows users to retrieve data trapped inside PDF documents. With Docparser, users can extr...Read more
Current Customer(s)
Market Share (Est.)
Ranking
The top three of Docparser’s competitors in the Data Extraction category are Segment with 75.77%, Collect.chat with 13.65%, IBM InfoSphere DataStage with 3.86% market share.
Technology | Domains | Market Share (Est.) | Versus page |
---|---|---|---|
Segment | 32778 | 75.77% | Docparser vs Segment |
Collect.chat | 5904 | 13.65% | Docparser vs Collect.chat |
IBM InfoSphere DataStage | 1670 | 3.86% | Docparser vs IBM InfoSphere DataStage |
Fivetran | 1608 | 3.72% | Docparser vs Fivetran |
Hubdoc | 426 | 0.98% | Docparser vs Hubdoc |
Saleshub.ai | 174 | 0.40% | Docparser vs Saleshub.ai |
AWS Snowball | 123 | 0.28% | Docparser vs AWS Snowball |
Octoparse | 67 | 0.15% | Docparser vs Octoparse |
Mozenda | 67 | 0.15% | Docparser vs Mozenda |
Scribe Online | 66 | 0.15% | Docparser vs Scribe Online |
FullContact | 54 | 0.12% | Docparser vs FullContact |
Agenty | 47 | 0.11% | Docparser vs Agenty |
ScraperAPI | 43 | 0.10% | Docparser vs ScraperAPI |
Acquire Database | 39 | 0.09% | Docparser vs Acquire Database |
Seal | 37 | 0.09% | Docparser vs Seal |
Altair Monarch | 23 | 0.05% | Docparser vs Altair Monarch |
Fluix | 22 | 0.05% | Docparser vs Fluix |
ScrapingBee | 20 | 0.05% | Docparser vs ScrapingBee |
MXDeposit | 16 | 0.04% | Docparser vs MXDeposit |
AWS Snowball Edge | 11 | 0.03% | Docparser vs AWS Snowball Edge |
Popular Comparisons
The top three of Docparser’s competitors in the Data Extraction category are Segment with 75.77%, Collect.chat with 13.65%, IBM InfoSphere DataStage with 3.86% market share.
Docparser vs Segment
Docparser vs Collect.chat
Docparser vs IBM InfoSphere DataStage
Docparser vs Fivetran
Docparser vs Hubdoc
Docparser vs Saleshub.ai
Docparser vs AWS Snowball
Docparser vs Octoparse
Around the world in 2025, over 14 companies have started using Docparser as Data Extraction tool.
Customers | Employee Range | City | Region | Country | Social Links |
---|---|---|---|---|---|
AT&T | 10,000+ | Dallas | Texas | United States | |
Allianz | 10,000+ | Munich | Bavaria | Germany | |
SupportNinja | 1,000 - 4,999 | Austin | Texas | United States | |
Pike | 1,000 - 4,999 | Mount Airy | North Carolina | United States | |
Midway Group | 100 - 249 | Conroe | Texas | United States | |
Covantech | 100 - 249 | Hyderabad | Telangana | India | |
Versa Products | 100 - 249 | Paramus | New Jersey | United States | |
Pacer | 100 - 249 | Sarasota | Florida | United States | |
Workana | 100 - 249 | Buenos Aires | Buenos Aires F.D. | Argentina | |
Harmonate | 20 - 49 | Austin | Texas | United States |
The top three products and services offering customers that use Docparser for Data Extraction are Freelance Services (1), Remote Work Solutions (1), Risk Consulting (1).
Customers
The majority of Docparser's customers for the data-extraction category fall in the company size of 100 - 249 employees (5 companies), 20 - 49 employees (4 companies), 10,000+ employees (2 companies).
Employee Size
The top three geographies of Docparser for data-extraction are the United States with 9(64.29%), India with 1(7.14%), Argentina with 1(7.14%) customers respectively.
Customers
Find answers to the most often asked questions by users.
Who are the top Docparser competitors?
Docparser’s Top competitors in the data-extraction category are Segment, Collect.chat, IBM InfoSphere DataStage. You can view a full list of Docparser competitors here. 6sense uses advanced data mining and AI algorithms to track customers and competitors of Docparser and 40,000 other technologies on the internet. You can also compare Docparser and its feature with top competitors here : Docparser vs Segment Docparser vs Collect.chat Docparser vs IBM InfoSphere DataStage.
What is Docparser customer distribution based on company size?
What is Docparser market share in the data-extraction?
What are the top countries that use Docparser?
What are the top industries that use Docparser?
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