Deployment
Docker & GPU
Docker support: Yes
GPU: Not required
Check the source notes below before assuming a GPU, transcoding workload or machine-learning feature is included in the baseline deployment.
Media / Photos / Files
Locally hosted PDF toolkit with 50+ tools to merge split convert OCR and compress PDFs
Requirements
Badges are attached to each value. An estimate is never presented as an official project requirement.
| Resource | Minimum | Recommended |
|---|---|---|
| RAM | 2GB Official | 4GB Official |
| CPU | 2 Estimated | 2 Estimated |
| Disk | 5GB Estimated | Not stated Not stated |
Disk figures describe the application footprint recorded in the dataset. Personal media, documents, backups and other user data can require substantially more storage.
RunOnVPS sizing suggestion
4 GB RAM tier
This is our sizing suggestion, derived from Stirling-PDF’s recommended RAM of 4GB. It is not an official requirement and it does not guarantee that every workload, plug-in set or media library will fit comfortably.
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Deployment
Docker support: Yes
GPU: Not required
Check the source notes below before assuming a GPU, transcoding workload or machine-learning feature is included in the baseline deployment.
Commercial alternative
iLovePDF
Stirling-PDF is catalogued here as a self-hosted alternative to iLovePDF. Feature parity varies, so compare your required workflow before migrating.
Source check
Stars checked 2026-10-24 on the GitHub repo page. The project is open-core: the README says 'open-core, see LICENSE' — the core is MIT (per the GitHub API license field) while GitHub web metadata shows Other (NOASSERTION) and proprietary/SaaS folders carry their own licenses. Official Docker docs give suggested memory per image variant (ultra-lite 2GB, standard 4GB, fat 6GB), so min_ram follows ultra-lite and rec_ram the standard variant; no official CPU or disk numbers — 官方未标明,均为基于其 Java + LibreOffice/Tesseract 标准镜像的估算, and OCR/office conversion is CPU-intensive. Docker is the primary official deployment (docker run in the README quick start).
Data source: https://github.com/Stirling-Tools/Stirling-PDF
Project repository: https://github.com/Stirling-Tools/Stirling-PDF
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