GigaDXF
Import DXF files to create labelling and list files for manufacturing
Automate toolpathing for DXF files
GigaDXF is built to integrate with EzyNest / EnRoute Software to generate your toolpath.
It’s simple! Just import a layered DXF from a CAD software package into GigaDXF. Then, generate the list file required with EzyNest’s Auto ToolPath feature.
Save time by automating toolpathing for your ACM panel production.
This option requires EzyNest Software to integrate.
Labels per Part
Not only does GigaDXF create list files, but it also generates labelling information per part.
This means you can produce labels for generic CAD files to accurately track parts in a production environment.
This option is available in GigaDXF Software.
Add Your Own Fields to Labels
Customize GigaDXF’s labels to suit your needs.
You can add columns such as ‘Job Number’, which can then be used on each part’s label when processed.
GigaDXF imports layered DXF files from a CAD program and creates the data to allow batch import and labelling in EzyNest / EnRoute.
This option is available in GigaDXF Software.
Link to any CNC Machine
Because GigaDXF is built to integrate with EzyNest / EnRoute Software, this means that GigaDXF can import DXFs and generate list files and labelling for part manufacturing.
Even better, you can do this with any CNC machine.
See how easy it is to add GigaDXF to your production.
This option requires EzyNest Software to integrate.
GigaDXF Demo Video
So how does GigaDXF actually work?
Learn just how easy it is to import DXF files and generate list files and labelling with GigaDXF Software.
Watch just how easy it is to import DXF files for manufacturing using our software.
GigaDXF Software
GigaDXF + EzyNest
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System Requirements
Minimum Specifications
- i5 Processor
- Windows 10 Operating System
- 8 Gig Of Ram
- 5 Gb Free Hard Disk Space
- Full Open GL Support Video Card
Recommended Specifications
- i7 Processor
- Windows 10 Operating System
- 16 Gig Of Ram Or More
- 1 Tb Free Hard Disk Space
- nVidia or AMD Video Card
Note: We use nVidia Cards with our testing.