Turn scanned documents into a searchable digital archive
Stop stacking scanned invoices and contracts in drawers. This system converts paper documents into text and classifies them automatically, allowing you to retrieve files by their content rather than relying on file names.
Content-based search and automatic classification
The system uses optical character recognition (OCR) to extract text from scanned images and record the document content in a database. This enables searching by the text inside the document instead of the file name. When a document arrives, it is automatically assigned to a folder and tagged according to pre-set rules, eliminating the need to move or rename files manually.
Installation and migration
The easiest way to install is by using docker compose. Running the official installation script automatically configures the required environment. Existing Paperless-ng users can migrate by simply replacing the new docker image. A demo environment is available on DigitalOcean, allowing you to test features before installation. The demo account is demo / demo, and since the content is frequently reset, it is advisable not to upload sensitive information.
Security and operational environment
Because the system stores sensitive information such as ID numbers and tax records, special attention to security is required. Data is stored as unencrypted plaintext, so it should not be run on untrusted hosts. The safest method is to run it on a personal local server with backups. The project is maintained on a community support basis and does not provide official security guarantees. You must take security measures appropriate for your environment before use.
