Ambar vs Paperless-AI
A side-by-side comparison of two self-hosted document management options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | Ambar | Paperless-AI |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 15 · At risk | 84 · Excellent |
| Status | Archived | Actively maintained |
| Category | Document Management | Document Management |
| License | Apache-2.0 | MIT |
| Language | JavaScript | JavaScript |
| Setup difficulty | Medium | Medium |
| Min. RAM | 2,048 MB | 512 MB |
| Deployment | docker, source | docker |
| GitHub stars | ★ 1,943 | ★ 5,951 |
| First released | 2017 | 2024 |
| Replaces | DocuWare, M-Files | DocuWare |
What are Ambar and Paperless-AI?
Ambar
Ambar is an open-source document search engine that automatically crawls, OCRs, and indexes documents from configured sources. It provides a fast unified search across many file types.
- Automatic document crawling
- OCR on images and PDFs
- Unified full-text search
- Tagging and labels
Paperless-AI
Paperless-AI is a companion service for Paperless-ngx that uses large language models to automatically analyze, tag, and categorize scanned documents. It connects to a Paperless-ngx instance and enriches documents with AI-generated metadata.
- AI-powered tagging
- Automatic categorization
- Paperless-ngx integration
- Document chat
Ambar vs Paperless-AI: key differences
The biggest difference is maintenance: Ambar's repository is archived and no longer developed, while Paperless-AI is actively maintained. Both projects are written in JavaScript. Licensing differs — Apache-2.0 for Ambar versus MIT for Paperless-AI. Paperless-AI is the lighter option, starting around 512 MB of RAM against 2,048 MB for Ambar. Ambar is the more established project (first released 2017), while Paperless-AI arrived in 2024. Paperless-AI has the considerably larger community, at 5,951 GitHub stars versus 1,943.
Why pick each one
Choose Ambar if…
- Fast search across many sources
- Good OCR coverage
Watch out for
- Development has slowed
- Elasticsearch increases memory needs
Choose Paperless-AI if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 6k GitHub stars
- Written in JavaScript
Frequently asked questions
Is Ambar or Paperless-AI better?
Neither is universally better. Paperless-AI has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Ambar and Paperless-AI free and open-source?
Yes. Ambar is licensed under Apache-2.0 and Paperless-AI under MIT. Both can be self-hosted at no software cost.
Can I run Ambar and Paperless-AI with Docker?
Ambar: yes. Paperless-AI: yes.
Which is lighter on resources, Ambar or Paperless-AI?
Paperless-AI has the smaller minimum footprint at 512 MB of RAM, compared to about 2,048 MB for Ambar. Real-world usage depends on library size, user count, and enabled features.