Paperless-ngx
Document archive that runs OCR on scans and makes them searchable.
OCR is a CPU burst whenever documents arrive. The archive itself grows slowly.
Planning figures used by the calculators: RAM 2 GB (our estimate), CPU 2 cores (our estimate), storage 10 GB (our estimate). These cover the application itself. Your own photos, films, documents and recordings are entered separately as data storage.
The table lists every figure we hold, what kind of claim it is, and the fragment of the archived document it came from.
Source: Paperless-ngx setup documentation, retrieved 2026-09-08, archived as document 17 on the sources page.
Add Paperless-ngx to a stack or read how we label a number.
| property | value | basis | evidence | document |
|---|---|---|---|---|
| cpu plan cores | 2 cores | our estimate | Our reasoning: No published figure. OCR is the peak; two cores keep a scan batch from blocking the interface. | No document, our reasoning only |
| low power | Runs on a Raspberry Pi with settings changes | vendor documented | Quoted from the archived document: Paperless runs on Raspberry Pi. Some tasks can be slow on lower-powered hardware, but a few settings can improve performance | Document 17, retrieved 2026-09-08 |
| ram plan gb | 2 GB | our estimate | Our reasoning: No published figure. Web workers, the task queue and OCR together fit in 2 GB for household volumes; the documentation offers settings that trade OCR quality for memory. | No document, our reasoning only |
| storage plan gb | 10 GB | our estimate | Our reasoning: Application and database only. Scanned documents are entered as data storage. | No document, our reasoning only |