XBRL Extractor is a highly customizable tool for
extracting financial and business information from XBRL files and convert into business insights.



Highlights

● Supports wide variety of formats.
● Perform pre-defined calculations.
● Can Set Conditional Models
● Customization & Filters
● Compatible with databases
● Faster and Reliable Extraction
● Execution logging

XBRL Extractor

XBRL Extractor is a data extraction utility that allows users to extract, group and perform calculations on data from XBRL and Inline XBRL sources. Often the XBRL data filed with various regulatory repositories is flat in structure and unorganised. XBRL Extractor applies grouping functions that combine source data into groups and then processes these groups to extract the data into a user defined customized structures. This structural information can be further used to perform data analytics and get significant insights from it.

XBRL Extractor supports all XBRL taxonomies as the main source for mapping data to custom fields from XBRL files. User can customize the data points as per their requirements and also set different mapping rules to arrive on precise output.

One of the key features of XBRL Extractor is setting conditional models using simple data extraction platform. The advantages of this conditional model allow user to achieve full automation, arrive at precise data points and the ability to deal with missing and disordered data fields.

XBRL Extractor is a highly customizable tool for extracting financial and business information from XBRL files and convert into business insights.

About Organiza

Organiza is a privately held company formed by a team with decades of experience in offering services and solutions for the creation and consumption of XML and XBRL data. Enabling users to efficiently and accurately create, validate, review, extract, manipulate and publish structured data for research and regulatory compliance.

Our Location

703, Mayuresh Chambers,
Sector 11, C.B.D Belapur
Navi Mumbai, 400 614
Maharashtra, India
Phone : +91 22 2756 0478