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paperless-ngx/paperless-ngx v3.3.3 — An archive that OCR-indexes scanned documents

paperless-ngx/paperless-ngx is a Python document management system that OCR-indexes scanned documents, making full text and metadata searchable while covering tagging, classification, and archiving; the latest release is v3.3.3.

Repositorypaperless-ngx/paperless-ngx ↗

paperless-ngx/paperless-ngx is a Python document management system that OCR-indexes scanned documents, making full text and metadata searchable while covering tagging, classification, and archiving; the latest release is v3.3.3.

GitHub description: A community-supported supercharged document management system: scan, index and archive all your documents

stars
★ 47K
Forks
3.3K
Language
Python
License
GPL-3.0
Latest release
v3.3.3
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paperless-ngx/paperless-ngx is a community-supported document management system that scans, indexes, and archives every document. It is a project that turns physical documents into a searchable online archive, and the latest release is v3.3.3.

When a document comes in, it uses OCR (optical character recognition) to pull out the text and index the body text and metadata, then handles tagging, classification, and archiving in a single flow. Gathering scanned documents in one place and later retrieving them by full text and metadata is the core of this system. The README states that this project is the official successor to the existing Paperless and Paperless-ng.

The README presents docker compose as the easiest deployment method and includes installation and migration guidance along with feature descriptions. The implementation language is Python and the license is GPL-3.0. The repository was created on 2022-02-12 and is recorded as having 46948 stars.

Still, there are boundaries worth checking. The README warns that because information is stored in plaintext without encryption, it should not be run on untrusted hosts. Since the storage remains in plaintext, it comes with the premise of being used on a personally managed device or on your own server. Release notes covering the v3.3.3 changes are not in the given materials, the momentum score in the research record is 6.6 out of 10, and no freshness, technology, or quality scores are given. There is also no way to gauge indexing accuracy and processing performance. So it is best kept as reference material for personal document archiving, and if you are considering adoption, it is better to check the v3.3.3 release notes directly.