AI Applications & Automation

paperless-ngx

paperless-ngx/paperless-ngx

A self-hosted document archive combining OCR, search, and metadata organization for scanned and digital files.

★ 44.9Kスター
⑂ 3.1Kフォーク数
20未解決の問題
Python言語
GPL-3.0ライセンス
Q90編集部スコア

概要

Paperless-ngx addresses the complete path from importing a document to finding it later. It is useful for receipts, administrative records, and team archives. Generative question answering is a separate application concern; reliable originals and metadata remain the foundation.

主な機能

  • OCR
  • Full-text search
  • Metadata and tags
  • Self-hosting
  • Compose deployment

要件、インストール、クイックスタート

Follow the Docker Compose setup, configure persistent media and database storage, an administrator, and OCR languages. Test recovery from backup.

使用方法

Import 20 varied samples. Check rotation, mixed languages, duplicate files, keyword search, and whether both originals and metadata survive recovery.

How it works
Ingestion extracts searchable text and organizes documents with metadata and tags. Search leads users back to the stored document.

Audience and requirements
Individuals and small teams managing archives. Containers, persistent storage, OCR languages, and backups.

Practical use cases
Personal archives; small-team records; document preparation for retrieval.

Limitations and selection
Poor scans and complex layouts need review. Upstream notes that stored information is not automatically encrypted.

Related projects and selection
tesseract-ocr/tesseract:Upstream context: understand OCR and language data to diagnose recognition.

onyx-dot-app/onyx:Possible complement: add a Q&A layer after validating export, synchronization, and permissions.

Source review
Editorial analysis of upstream sources, without runtime or benchmark testing. Proposed workflows are editorial suggestions.

モデルの互換性とユースケース

Core OCR and indexing do not require a chat LLM; OCR language data must match documents.

ライセンスとリスクに関する注意事項

The repository page identifies GPL-3.0. Read LICENSE; model weights and datasets may have separate terms.

Editorial source review 2026-09-09T05:00:00.950Z. README and live repository page verified; current stars/forks from GitHub HTML. Last-push metadata retained from 2026-09-05 discovery snapshot. No runtime benchmark. Integration proposals are editorial analysis.

リリースとメンテナンス

Reviewed 2026-09-09. Counters come from repository pages; features are based on upstream documentation. See Releases in the source links. Editorial analysis of upstream sources, without runtime or benchmark testing. Proposed workflows are editorial suggestions.

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