StarNet++NEW
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 with an English interface that handles German content.
What is StarNet++?
StarNet++ is a specialized AI-powered software tool designed for the automatic removal of stars from astronomical photographs. The application is built upon a deep neural network trained on thousands of astronomical images to precisely distinguish stars from diffuse background structures. The output is a 'starless' image containing only nebulae, galaxies, or dust clouds without star interference.
By isolating stars from deep-sky objects, astrophotographers gain significantly greater control during post-processing. Nebular details can be aggressively stretched, contrast-enhanced, and color-balanced without causing surrounding stars to bloat or saturate. Stars can be processed independently on a separate layer and later recombined with the starless background.
StarNet++ is available both as a standalone application with a graphical user interface (GUI) and command-line interface (CLI), and as an integrated plugin for the image processing suite PixInsight. Processing leverages hardware acceleration via GPUs (such as CUDA or TensorFlow), enabling fast execution even on high-resolution 16-bit or 32-bit TIFF images.
Core features & strengths
- AI-Driven Star Removal — The neural network accurately identifies stars of various sizes and brightness levels, removing them cleanly without leaving dark halos or artifacts around delicate nebula details.
- Hardware Acceleration — Supports GPU acceleration via TensorFlow and CUDA, drastically reducing processing times for large-format astrophotography from minutes to seconds.
- Flexible Integration — Operates as a standalone GUI application, via command line for batch processing scripts, or directly integrated into PixInsight workflows.
Who is this tool for?
Astrophotographers, astronomy enthusiasts, and deep-sky image processors looking for precise star-nebula separation to achieve professional processing results.
Typical use case
An astrophotographer captures a multi-hour exposure of a faint emission nebula. To highlight the subtle gas structures without overexposing dense starfields, they run StarNet++ to separate the image into a starless nebula view and a star layer. They can then stretch the nebula details aggressively before blending the star layer back in at a lower intensity.
What is StarNet++ good for?
- Astrophotographers, astronomy enthusiasts, and deep-sky image processors looking for precise star-nebula separation to achieve professional processing results.
- An astrophotographer captures a multi-hour exposure of a faint emission nebula.
- AI-Driven Star Removal: The neural network accurately identifies stars of various sizes and brightness levels, removing them cleanly without leaving dark halos or artifacts around delicate nebula details.
- Hardware Acceleration: Supports GPU acceleration via TensorFlow and CUDA, drastically reducing processing times for large-format astrophotography from minutes to seconds.
- Flexible Integration: Operates as a standalone GUI application, via command line for batch processing scripts, or directly integrated into PixInsight workflows.
When a different tool fits better
Not suitable for conventional daylight photography, portraits, or general image editing, as the underlying neural network is specifically trained on astronomical imagery.
Pricing & plans
Plans in detail
- Standard0 $0 €one-time
- Fully functional software
- Open source
Good to know
- The software is available as a free download.
- There are no paid versions or subscriptions.
Prices checked on 15/08/2026. Prices based on public provider information, without warranty. Euro amounts are approximations; the provider's pricing page prevails.
Supported languages
The user interface and documentation are available in English.
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: Processing runs 100% locally on the user's computer; no images or telemetry data are transmitted to external cloud servers.
Training on your inputs: Because the application runs entirely offline, user images and data are never collected or used for model training.
For companies: No specialized enterprise contract or DPA is required for commercial use, as the software operates locally on premise.
Practical advice: Since processing occurs entirely offline, proprietary or copyrighted image files can be safely processed without privacy concerns.
- 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 02/08/2026. 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 | content only, English interface |
| English | interface and content |
| Privacy classification | GDPR / EU |
| Data processing agreement | No specialized enterprise contract or DPA is required for commercial use, as the software operates locally on premise. |
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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