PaddleOCR vs Paperless-ngx
Short answer
PaddleOCR: OCR toolkit and document AI engine that turns scans, images and PDFs into LLM-ready text, Markdown or JSON. Paperless-ngx: Document management system that OCRs scans into a searchable archive, auto-tags them and adds optional LLM suggestions and chat. Both are in our Document processing category.
Choose PaddleOCR if you want: fewer license conditions (Permissive vs Copyleft (GPL)) and larger community (92.0k vs 47.3k GitHub stars).
PaddleOCR and Paperless-ngx publish no official RAM figure, so we cannot compare hosting cost directly.
Last updated · computed from each project's official docs and live GitHub data · sources
PaddleOCR vs Paperless-ngx side by side
| PaddleOCR | Paperless-ngx | |
|---|---|---|
| Category | Document processing | Document processing |
| What it is | OCR toolkit and document AI engine that turns scans, images and PDFs into LLM-ready text, Markdown or JSON. | Document management system that OCRs scans into a searchable archive, auto-tags them and adds optional LLM suggestions and chat. |
| License | Apache-2.0 | GPL-3.0 |
| License type | Permissive | Copyleft (GPL) |
| License conditions | Permissive. Internal and commercial use allowed; keep license and notices. | Free for internal and commercial use. If you distribute a modified version you must release it under GPL-3.0; running it for your own team is not distribution. |
| Status | Active | Active |
| GitHub stars | 92.0k | 47.3k |
| Last commit | Sep 16, 2026 | Oct 29, 2026 |
| Latest release | v3.7.0 | v3.4.0 |
| Minimum hardware | Not published | Not published |
| Recommended hardware | Not published | Not published |
| RAM measured by us | Not tested yet | Not tested yet |
| GPU | Optional. The server uses a GPU by default if available, otherwise the CPU. | No. OCR and the built-in classifier run on CPU; LLM features call the provider you configure. |
| Est. server cost | Not estimated | Not estimated |
| Deploy method | pip + PaddleX serving (HTTP API) | Docker Compose (official install script) |
| Known gotchas | 4 listed | 4 listed |
| Telemetry | Not documented | Not documented |
| Calls home by default | Not documented | Not documented |
| SSO (OIDC / SAML / LDAP) | Not documented | Free (OIDC free) |
| Audit log | Not documented | Yes, free |
| RBAC | Not documented | Not documented |
| Details | Full PaddleOCR guide → | Full Paperless-ngx guide → |
Key differences
- License: PaddleOCR: Apache-2.0 (Permissive). Paperless-ngx: GPL-3.0 (Copyleft (GPL)).
- Deploy: PaddleOCR: pip + PaddleX serving (HTTP API) · pip + PaddleX serving (HTTP API). Paperless-ngx: Docker Compose (official install script) · multi-container stack.
- GitHub stars: PaddleOCR: 92.0k. Paperless-ngx: 47.3k.
- Last commit: PaddleOCR: Sep 16, 2026. Paperless-ngx: Oct 29, 2026.
- Latest release: PaddleOCR: v3.7.0 (Jun 11, 2026). Paperless-ngx: v3.4.0 (Oct 29, 2026).
Same for both: Category: Document processing; Official hardware: not published; GPU: optional / see notes; Est. server cost: not estimated (no official RAM figure); Status: Active.
PaddleOCR vs Paperless-ngx: FAQ
PaddleOCR or Paperless-ngx: which should a small business choose?
Choose PaddleOCR if you want: fewer license conditions (Permissive vs Copyleft (GPL)) and larger community (92.0k vs 47.3k GitHub stars). PaddleOCR and Paperless-ngx publish no official RAM figure, so we cannot compare hosting cost directly.
Which is cheaper to self-host, PaddleOCR or Paperless-ngx?
PaddleOCR: not estimated (no official RAM figure). Paperless-ngx: not estimated (no official RAM figure). Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.
How much hardware do PaddleOCR and Paperless-ngx need?
PaddleOCR: not published. Paperless-ngx: not published.
What is the license difference between PaddleOCR and Paperless-ngx?
PaddleOCR: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. Paperless-ngx: GPL-3.0 (Copyleft (GPL)). Free for internal and commercial use. If you distribute a modified version you must release it under GPL-3.0; running it for your own team is not distribution. This is a summary, not legal advice.
Is PaddleOCR or Paperless-ngx more actively maintained?
PaddleOCR: Active, last commit Sep 16, 2026. Paperless-ngx: Active, last commit Oct 29, 2026. GitHub data refreshed Oct 30, 2026.
Which is easier to deploy, PaddleOCR or Paperless-ngx?
PaddleOCR installs via pip + PaddleX serving (HTTP API) (pip + PaddleX serving (HTTP API)); Paperless-ngx via Docker Compose (official install script) (multi-container stack). PaddleOCR lists 4 known gotchas and Paperless-ngx lists 4; see each app page.
Related
- PaddleOCR self-hosting guide · Paperless-ngx self-hosting guide
- All PaddleOCR alternatives, ranked
- All Paperless-ngx alternatives, ranked
- Docling Serve vs PaddleOCR
- Docling Serve vs Paperless-ngx
- MinerU vs PaddleOCR
- MinerU vs Paperless-ngx
- PaddleOCR vs Paperless-AI
- PaddleOCR vs paperless-gpt
- PaddleOCR vs Unstract
- Paperless-AI vs Paperless-ngx
- paperless-gpt vs Paperless-ngx
- Paperless-ngx vs Unstract
- Add a third app in the interactive comparison
Sources
- PaddleOCR GitHub repository: github.com/PaddlePaddle/PaddleOCR
- PaddleOCR documentation: www.paddleocr.ai/
- PaddleOCR license: github.com/PaddlePaddle/PaddleOCR/blob/main/LICENSE
- PaddleOCR hardware requirements, PaddleOCR deploy instructions: www.paddleocr.ai/latest/en/version3.x/inference_deployment/serving/serving.html
- Paperless-ngx GitHub repository: github.com/paperless-ngx/paperless-ngx
- Paperless-ngx documentation, Paperless-ngx deploy instructions: github.com/paperless-ngx/paperless-ngx/blob/main/docs/setup.md
- Paperless-ngx license: github.com/paperless-ngx/paperless-ngx/blob/dev/LICENSE
- Paperless-ngx hardware requirements: github.com/paperless-ngx/paperless-ngx/blob/main/docs/faq.md
- Hetzner Cloud pricing used for cost estimates (read 2026-10-25): www.hetzner.com/cloud/regular-performance
- GitHub REST API (stars, commits, releases): docs.github.com/en/rest
Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.