FREE TOOLS  for extracting  


FREE Converter
IFC2x3 to Excel/Collada 

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V (50.6 Mb.)

FREE Converter Revit® 2015-2022 to Excel/Collada

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V (182.4 Mb.)

FREE Converter DWG 1983-2023 to Excel

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V (61.1 Mb.)

FREE Converter DGN
to Excel

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V (55.9 Mb.)

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Reverse engineering technologies can legally and efficiently convert data from closed CAD formats



ChatGPT and AI in working with CAD data (BIM)


Streaming file processing and embedding the conversion process in the code

To extract data from CAD (BIM), the simplest tool is the DDC UI converter.

Start the conversion for CAD (BIM) projects by specifying a folder 📁 with one or several projects. There's also an option to include files from subfolders 📂.

Click the "Start" button 🔘 to begin conversion. The results, Excel files 📊 with complete CAD (BIM) file information, will be available in the specified folder.

The DDC terminal-based converter quickly extracts data from CAD (BIM) with minimal code.

To initiate the conversion in any folder, open Command Prompt or Power Shell 🖥️, and simply enter the path of the folder containing the DDC converter, followed by the path of the file to be converted 📂🔄.

# CMD or PowerShell
> C:DDCRvtExporter.exe  C:Example.rvt

DDC Bulk Conversion

🔄 For handling large datasets simultaneously and automated processing

Enables conversion and management of substantial data volumes or integration of 💻🔗 the conversion process into workflow and data processing logic 

import os
import subprocess 
# Path to folder with RvtExporter.exe converter
path_conv = r'C:DDC_2023\'
# Path to folder with RVT projects
path = r'C:RevitProjects\'
def convert_and_wait(path_conv, exporter_name, file_path, extension):
    subprocess.Popen([os.path.join(path_conv, exporter_name), file_path], cwd=path_conv)
    output_file = os.path.join(path, f"{os.path.splitext(file)[0]}_{extension}.xlsx")
    while not os.path.exists(output_file):
# Conversion process from RVT and IFC for file in os.listdir(path): full_path = os.path.join(path, file) if file.endswith('.rvt'): convert_and_wait(path_conv, 'RvtExporter.exe', full_path, 'rvt')


Popular tools with large communities

Microsoft Excel

A leading spreadsheet software that allows you to open, edit, and analyze XLSX files. It offers extensive features for data manipulation, analysis, and visualization.

ChatGPT with Python Integration

This setup allows ChatGPT to use Python libraries like Pandas for handling XLSX files. Users can interact with and manipulate data in XLSX format through conversational commands, making it user-friendly for data analysis and visualization tasks.

Power BI (Microsoft)

This business analytics tool not only imports XLSX files but also enables users to transform and model their data, creating interactive dashboards and reports that can be shared across an organization for insightful decision-making

Jupyter Notebooks

An open-source web application that supports data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and more. It can work with XLSX files through Python libraries like Pandas

Pandas (Python Library)

A powerful data analysis and manipulation library for Python. Pandas can read and write DataFrames to and from XLSX files using its read_excel and to_excel functions.

Kaggle cloud-based work environment

 It allows users to write and execute Python code, and it supports various Python libraries, including Pandas, for reading and writing XLSX files. Kaggle is widely used for data analysis and modeling, and it's an excellent platform for collaborative projects and learning from a community of data scientists.




Project data stored in closed CAD (BIM) databases, more specifically, the attributes of creature volumes and their geometric representation, accumulated over weeks, months and even years are eventually converted into complex parametric or closed CAD (BIM) formats.

Proprietary CAD (BIM) database formats are closed and protected and quality access to data in such databases was provided only through specialized programs from CAD (BIM) vendors or through additional API layers that provide limited access to CAD (BIM) database programs.
With the development of reverse engineering technologies and the advent of software development kits (SDKs), the availability and conversion of data from closed CAD (BIM) program formats has become much easier.

Reverse engineering tools allow legitimate and efficient conversion of data from closed proprietary formats to structured formats, breaking down infor-mation from a mixed CAD (BIM) format into the types of data and formats that the user needs, facilitating their processing and analysis. This allows practitioners to move away from mixed format processing of CAD (BIM) models, which focuses on working with data in specialised software, to a data-centric approach, which focuses primarily on open data.

Converting data from closed, proprietary formats to more accessible formats greatly simplifies the process of working with that data, making it more accessible for analysis, modification, and integration with other systems.

In modern work with CAD (BIM) data, we have reached a stage where it is not necessary to request permission from CAD (BIM) vendors to access the data.

Discover Ad-Free applications

with support for the latest CAD (BIM) formats

30-Day Full Refund Guarantee

If, for any reason, you're not completely satisfied with our app after receiving it or even before, you're protected by our 30-day full refund policy. Simply let us know, and we'll process your refund, no questions asked. You have a full year to decide if our product is right for you.

Ad-Free Data Conversion

In the free version of the converter, advertisements appear in the conversion results. However, in the full version, all advertising materials are removed, which allows you not to be distracted by working with data