Image and video decision
Realstager
A competent technical user can reproduce a useful single-user RealStager replacement using open-source image models and modest GPU hosting in a few weeks; you trade away polish, scale, and vendor support.
Visit website↗Built by Andrew Seeley, who ships 7 products in this index
$29/mo
$348/yr
Read off the official pricing page.
$100one-off44 h to build
$200/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 8 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Upload a photo → run an image-edit model to apply the selected enhancement (dusk, declutter, staging, weather) → post-process and return HD download
What it still won’t have
- Polished, production-hardened UI and multi-user billing/analytics
- Scale and low-latency multi-photo batch processing
- Priority support and guaranteed uptime/SLAs
- Any proprietary models or optimizations RealStager uses
- Marketing, brand trust, and ecosystem integrations
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 8 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a single-tenant RealStager replacement: use Next.js for the frontend, Python FastAPI for the backend, PostgreSQL for minimal user metadata, S3-compatible storage for images, and a GPU-backed Docker inference service running Hugging Face Diffusers and/or PaddleGAN models for image edits. In scope: upload UI (drag & drop), image validation, one-click transforms (dusk, declutter/inpainting, virtual staging via compositing), post-processing to HD JPEG/PNG, authenticated single-user account, and downloadable results. Out of scope: multi-tenant billing UI, priority support, large-scale batch queueing. Provide error handling, retries for inference failures, unit tests for upload/processing logic, and an integration test that runs a sample transform end-to-end. Include Dockerfiles and a Terraform script to provision one GPU VM, an object store, and CI pipeline.
How we checked
How the score was reached
- Partly verdict base52
- 3 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score62
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productRealStager home
- official pricingRealStager Pricing
- official productDay to Dusk Photo Converter
Integrity checks
What held up, and what did not.
