Image and video decision
ON1 Photo RAW
A capable technical user can implement a useful subset (RAW decode, non-destructive edits, basic AI denoise/upscale, and export) but reproducing ON1's full product polish, proprietary AI/restore models, plugin integrations, and cloud/market features would be costly and time-consuming.
Visit website↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off80 h to build
$0/mo10 h/mo upkeep
No published price to break even against.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All ON1 Photo RAW alternatives, with the arithmetic →
What a replacement has to do
- Import RAW photos → non-destructively adjust develop parameters and layers/masks → apply AI denoise/upscale/effects → export final images
What it still won’t have
- ON1 proprietary AI/Restore models and any curated training data
- Polished, production-quality UI and cross-platform installers
- Integrated plugin-level compatibility with Photoshop/Lightroom as shipped
- Cloud sync, ON1 Plus content, and official support/training materials
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
ON1 Photo RAW does not publish a price we could read, so there is nothing to compare against. What building costs is below.
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 minimal cross-platform desktop RAW photo editor using Electron (UI) + a Rust or Go backend for image processing. In scope: 1) RAW decoding and preview using LibRaw bindings; 2) a local SQLite catalog to store file references and non-destructive edit JSON; 3) a pixel pipeline implementing exposure, white balance, curves, HSL, plus a single layer with mask support; 4) integrate an open-source denoise/upscale model runnable via ONNX/TorchScript (local GPU if available, fallback CPU); 5) batch export to JPEG/TIFF and a simple preset/save/load system; 6) basic automated tests for RAW decode, pipeline parameter changes, catalog read/write, and export. Out of scope: cloud sync, plugin hosting for Photoshop/Lightroom, advanced retouch/spot-heal, marketplace or licensing. Provide error handling for file I/O, model inference failures, and corrupt RAWs; include CI that runs unit tests and a simple end-to-end export regression test.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 4 cited sources+3
- 3/3 assessment runs agreed+4
- Evidence score64
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 · 4
Every page the run actually retrieved.
- official productON1 home
- official pricingON1 Special Pricing
- official productON1 product features
- open sourceCyberTimon/RapidRAW
Integrity checks
What held up, and what did not.
