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Docparser

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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

Data Extraction
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Market Share of Docparser

Current Customer(s)

34

Market Share (Est.)

0.07%

Ranking

#20

Top Competitors and Alternatives of Docparser

The top three of Docparser’s competitors in the Data Extraction category are Segment with 71.39%, Collect.chat with 12.20%, Fivetran with 5.80% market share.

TechnologyDomainsMarket Share (Est.)Versus page
Segment3427371.39%Docparser vs Segment
Collect.chat585712.20%Docparser vs Collect.chat
Fivetran27855.80%Docparser vs Fivetran
IBM InfoSphere DataStage27525.73%Docparser vs IBM InfoSphere DataStage
Hubdoc6641.38%Docparser vs Hubdoc
AWS Snowball3890.81%Docparser vs AWS Snowball
Saleshub.ai1700.35%Docparser vs Saleshub.ai
Octoparse1460.30%Docparser vs Octoparse
Scribe Online1150.24%Docparser vs Scribe Online
Agenty1110.23%Docparser vs Agenty
Mozenda1080.22%Docparser vs Mozenda
dexi.io700.15%Docparser vs dexi.io
Seal670.14%Docparser vs Seal
FullContact640.13%Docparser vs FullContact
Acquire Database580.12%Docparser vs Acquire Database
ScraperAPI460.10%Docparser vs ScraperAPI
MXDeposit430.09%Docparser vs MXDeposit
Altair Monarch430.09%Docparser vs Altair Monarch
Fluix360.07%Docparser vs Fluix
Photon Commerce280.06%Docparser vs Photon Commerce
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Popular Comparisons

Top Competitors and Alternatives of Docparser

The top three of Docparser’s competitors in the Data Extraction category are Segment with 71.39%, Collect.chat with 12.20%, Fivetran with 5.80% market share.

Docparser vs Segment

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Docparser vs Collect.chat

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Docparser vs Fivetran

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Docparser vs IBM InfoSphere DataStage

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Docparser vs Hubdoc

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Docparser vs AWS Snowball

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Docparser vs Saleshub.ai

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Docparser vs Octoparse

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Customers of Docparser

Around the world in 2025, over 34 companies have started using Docparser as Data Extraction tool.

CustomersEmployee RangeCityRegionCountrySocial Links
ITC Limited10,000+KolkataWest BengalIndia
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Microsoft10,000+RedmondWashingtonUnited States
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Allianz10,000+MunichBavariaGermany
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AT&T10,000+DallasTexasUnited States
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Pike5,000 - 9,999Mount AiryNorth CarolinaUnited States
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George Mason University5,000 - 9,999FairfaxVirginiaUnited States
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MGH Group1,000 - 4,999DhakaDhakaBangladesh
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National University Of Computer & Emerging Sciences1,000 - 4,999IslamabadIslamabadPakistan
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Paracon1,000 - 4,999JohannesburgGautengSouth Africa
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Inovalon1,000 - 4,999BowieMarylandUnited States
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Docparser Customers by Products and Services

The top three products and services offering customers that use Docparser for Data Extraction are Consulting (2), University Of California (2), Digital Marketing (2).

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Docparser Customers by Employee Size

The majority of Docparser's customers for the data-extraction category fall in the company size of 1,000 - 4,999 employees (9 companies), 100 - 249 employees (8 companies), 20 - 49 employees (5 companies).

Employee Size

Docparser Customers by Geography

The top three geographies of Docparser for data-extraction are the United States with 19(59.38%), India with 3(9.38%), Pakistan with 2(6.25%) customers respectively.

Customers

Employees of Docparser

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Also see other Products/Services by Docparser in:

Data Integration
Document Collaboration
Data Extraction

FAQ

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, Fivetran. 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 Fivetran.

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What is Docparser customer distribution based on company size?

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What is Docparser market share in the data-extraction?

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What are the top countries that use Docparser?

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What are the top industries that use Docparser?

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