StarNet++
Level 24: Astronomy & Astrophysics
Science · Level 24
In short
StarNet++ is an AI tool in the Astronomy & Astrophysics category from StarNet (Nikita Misiura) in Canada. The pricing model is free. It is available in English only.
What is StarNet++?
StarNet++ is a specialized software tool for astrophotography designed to remove stars from astronomical images. It utilizes neural networks to precisely distinguish between star-like objects and underlying deep-sky structures, such as nebulae or galaxies. The software allows users to process the starless background separately, significantly enhancing control over contrast and color during post-processing.
The application runs locally on the user's computer, meaning no image data needs to be uploaded to external servers. Users load their raw images or pre-processed captures into the software, and the algorithm generates a masked version of the image without stars. This process is based on deep machine learning trained specifically on astronomical image data to minimize artifacts.
By integrating into common image editing workflows, StarNet++ serves as a precursor for final image composition. It supports various image formats and provides an interface accessible to both experienced astrophotographers and beginners. The separation of stars and objects allows for significantly more aggressive sharpening or saturation of the image background without negatively affecting the stars.
Core features & strengths
- Local Image Processing — As the software runs entirely on the local system, an internet connection is not required during the processing stage. This ensures complete control over data privacy and allows for the processing of large files without latency.
- AI-Powered Segmentation — The neural network is optimized to differentiate point-like light sources from diffuse astronomical objects. This significantly reduces manual masking efforts and ensures a clean separation of image layers.
- Workflow Integration — The tool can be seamlessly integrated as a plugin into popular software like PixInsight or used as a standalone command-line application. It supports standard file formats like TIFF, which are essential for high-bit-depth astronomical data processing.
Who is this tool for?
The tool is primarily aimed at astrophotographers who apply advanced image processing techniques. It is ideal for users who want to precisely edit their deep-sky captures and minimize the disruptive influence of stars.
Typical use case
An astrophotographer aims to highlight the faint structures of a gas nebula in an image. Since the bright stars obscure the contrast, he uses StarNet++ to split the image into two layers: a pure star map and a starless image of the nebula. He edits the starless image in photo editing software to enhance the details and colors of the nebula without bloating or distorting the stars. Finally, he recombines both layers to achieve an aesthetically pleasing and professional-looking final image.
What is StarNet++ good for?
- The tool is primarily aimed at astrophotographers who apply advanced image processing techniques. It is ideal for users who want to precisely edit their deep-sky captures and minimize the disruptive influence of stars.
- An astrophotographer aims to highlight the faint structures of a gas nebula in an image.
- Local Image Processing: As the software runs entirely on the local system, an internet connection is not required during the processing stage. This ensures complete control over data privacy and allows for the processing of large files without latency.
- AI-Powered Segmentation: The neural network is optimized to differentiate point-like light sources from diffuse astronomical objects. This significantly reduces manual masking efforts and ensures a clean separation of image layers.
- Workflow Integration: The tool can be seamlessly integrated as a plugin into popular software like PixInsight or used as a standalone command-line application. It supports standard file formats like TIFF, which are essential for high-bit-depth astronomical data processing.
When a different tool fits better
StarNet++ is not suitable for general photo editing outside of astronomy, as the algorithm is specifically trained on point-like light sources and astronomical structures. Additionally, users without basic knowledge of layer-based image editing may find the process of subsequent recombination too complex.
Pricing & plans
Plans in detail
- Standard00unlimited
- Completely free to use
- Open-source software
Good to know
- No commercial plans or subscriptions.
- Distributed as a community-driven project.
Prices checked on 26/09/2026. Prices based on public provider information, without warranty. Euro amounts are approximations; the provider's pricing page prevails.
Supported languages
The tool does not have a localized GUI in German; it is primarily used as a command-line tool or plugin for image processing software.
Interface = the tool's menu language, content = the language you can work in. Without guarantee — vendors keep expanding their language coverage.
Privacy & GDPR
Data flow: The software runs exclusively locally on the user's computer; no data is transferred to external servers.
Training on your inputs: Since there is no cloud processing, no input data is used by the provider to train AI models.
For companies: As this is an open-source application without a cloud service, no DPA or standard contractual clauses are required.
Practical advice: Since processing is performed locally, all types of astrophotography images can be processed securely.
- SCC (Standard Contractual Clauses):
- EU model clauses that let a provider legally process data outside the EU.
- DPA:
- Data Processing Agreement: contractually binds the provider to process your data only on your instructions. Usually mandatory for companies.
- On-premises / local:
- The model runs on your own machine or server. Data never leaves your network — the safest option from a privacy standpoint.
- Training on user data:
- Your inputs may feed into future model versions. Confidential content could in theory resurface in other users' answers.
Privacy data checked on 05/09/2026. Editorial summary based on public provider information — not legal advice. When in doubt, check the provider's current privacy terms.
Fact sheet
| Vendor | StarNet (Nikita Misiura) |
|---|---|
| Headquarters | Canada |
| Category | Astronomy & Astrophysics |
| Pyramid level | Level 24 – Astronomy & Astrophysics |
| Pricing model | Free |
| Free forever option | Yes |
| Open Source | No |
| Entry plan | Standard: 0 (0) |
| German | not supported |
| English | interface and content |
| Privacy classification | GDPR / EU |
| Data processing agreement | As this is an open-source application without a cloud service, no DPA or standard contractual clauses are required. |
Alternatives to StarNet++
- ALeRCE — Free · HQ: Santiago, Chile · Unclear
- AstroLens — Free · HQ: United States · GDPR / EU
- Astrometry.net (Nova) — Free · HQ: New York, United States · Unclear
- ExoMiner — Free · HQ: United States · GDPR / EU
- Galaxy Zoo — Free · HQ: Oxford, United Kingdom · Unclear
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