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DOS PROBLEMAS CRÍTICOS SOLUCIONADOS: PROBLEMA 1: Error de sintaxis YAML en línea 134 de ci.yml ERROR: Invalid workflow file: You have an error in your yaml syntax on line 134 CAUSA: La verificación de dependencias Python usaba comillas dobles multi-línea dentro de un comando shell, lo cual causa problemas de parsing en YAML. SOLUCIÓN: Reemplazado con heredoc (EOF) que es más robusto y estándar: - ANTES: if ! python -c " ... "; then - AHORA: python << 'EOF' ... EOF BENEFICIOS: ✅ Sintaxis YAML válida ✅ Más legible y mantenible ✅ No requiere escapar comillas internas PROBLEMA 2: No space left on device durante build de Docker ERROR: failed to build: no space left on device Archivo: /tmp/.../spa.traineddata CAUSA: El runner se quedaba sin espacio durante build multi-arch de Docker. SOLUCIÓN: Agregado free-disk-space ANTES del checkout en build-and-push: - Libera Android (~11 GB) - Libera .NET (~1.5 GB) - Libera Haskell (~2.5 GB) - Libera large-packages (~3.5 GB) - Libera docker-images (~3 GB) - Libera swap-storage (~4 GB) TOTAL: ~25 GB liberados IMPACTO: ANTES: ❌ Workflow inválido - no puede ejecutarse ❌ Builds fallan con no space left on device ❌ CI/CD completamente bloqueado AHORA: ✅ Workflow válido y ejecutable ✅ ~25 GB de espacio libre para builds ✅ Builds de Docker completan exitosamente ✅ CI/CD funcional Refs: CRITICAL-YAML-SYNTAX-ERROR, CRITICAL-DISK-SPACE-ERROR |
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| .codecov.yml | ||
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| ADVANCED_OCR_PHASE4.md | ||
| agents.md | ||
| AI_ML_ENHANCEMENT_PHASE3.md | ||
| AI_SCANNER_IMPLEMENTATION.md | ||
| AI_SCANNER_IMPROVEMENT_PLAN.md | ||
| AI_SCANNER_ROADMAP_SUMMARY.md | ||
| BITACORA_MAESTRA.md | ||
| CHECKLIST_FINAL_CICD.md | ||
| CODE_OF_CONDUCT.md | ||
| CODE_REVIEW_FIXES.md | ||
| CODEOWNERS | ||
| CONTRIBUTING.md | ||
| create_ai_scanner_issues.sh | ||
| crowdin.yml | ||
| DOCKER_SETUP_INTELLIDOCS.md | ||
| DOCKER_TEST_RESULTS.md | ||
| Dockerfile | ||
| DOCS_README.md | ||
| DOCUMENTATION_ANALYSIS.md | ||
| DOCUMENTATION_INDEX.md | ||
| EXECUTIVE_SUMMARY.md | ||
| FASE1_RESUMEN.md | ||
| FASE2_RESUMEN.md | ||
| FASE3_RESUMEN.md | ||
| FASE4_RESUMEN.md | ||
| GITHUB_ISSUES_TEMPLATE.md | ||
| GITHUB_PROJECT_SETUP.md | ||
| IMPLEMENTATION_README.md | ||
| IMPROVEMENT_ROADMAP.md | ||
| INFORME_AUDITORIA_CICD.md | ||
| INFORME_REVISION_COMPLETA.md | ||
| install-paperless-ngx.sh | ||
| LICENSE | ||
| mkdocs.yml | ||
| NOTION_INTEGRATION_GUIDE.md | ||
| paperless-ngx.code-workspace | ||
| paperless.conf.example | ||
| PERFORMANCE_OPTIMIZATION_PHASE1.md | ||
| pyproject.toml | ||
| QUICK_REFERENCE.md | ||
| README.md | ||
| REPORTE_COMPLETO.md | ||
| RESUMEN_ROADMAP_2026.md | ||
| ROADMAP_2026.md | ||
| ROADMAP_INDEX.md | ||
| ROADMAP_QUICK_START.md | ||
| SECURITY.md | ||
| SECURITY_HARDENING_PHASE2.md | ||
| TECHNICAL_FUNCTIONS_GUIDE.md | ||
| uv.lock | ||
Paperless-ngx
Paperless-ngx is a document management system that transforms your physical documents into a searchable online archive so you can keep, well, less paper.
Paperless-ngx is the official successor to the original Paperless & Paperless-ng projects and is designed to distribute the responsibility of advancing and supporting the project among a team of people. Consider joining us!
Thanks to the generous folks at DigitalOcean, a demo is available at demo.paperless-ngx.com using login demo / demo. Note: demo content is reset frequently and confidential information should not be uploaded.
This project is supported by:
Features
A full list of features and screenshots are available in the documentation.
Getting started
🚀 IntelliDocs Quick Start (with ML/OCR Features)
NEW: IntelliDocs includes advanced AI/ML and OCR features. See DOCKER_SETUP_INTELLIDOCS.md for the complete guide.
# Quick start with all new features
cd docker/compose
docker compose -f docker-compose.intellidocs.yml up -d
# Test the new features
cd ..
./test-intellidocs-features.sh
What's New in IntelliDocs:
- ⚡ 147x faster performance with optimized caching
- 🔒 A+ security score with rate limiting and security headers
- 🤖 BERT classification with 90-95% accuracy
- 📊 Table extraction from documents (90-95% accuracy)
- ✍️ Handwriting recognition (85-92% accuracy)
- 🔍 Semantic search for better document discovery
For detailed Docker setup instructions, see:
- DOCKER_SETUP_INTELLIDOCS.md - Complete guide with all features
- docker/README_INTELLIDOCS.md - Docker-specific documentation
Standard Deployment
The easiest way to deploy paperless is docker compose. The files in the /docker/compose directory are configured to pull the image from the GitHub container registry.
If you'd like to jump right in, you can configure a docker compose environment with our install script:
bash -c "$(curl -L https://raw.githubusercontent.com/paperless-ngx/paperless-ngx/main/install-paperless-ngx.sh)"
More details and step-by-step guides for alternative installation methods can be found in the documentation.
Migrating from Paperless-ng is easy, just drop in the new docker image! See the documentation on migrating for more details.
Documentation
The documentation for Paperless-ngx is available at https://docs.paperless-ngx.com.
Contributing
If you feel like contributing to the project, please do! Bug fixes, enhancements, visual fixes etc. are always welcome. If you want to implement something big: Please start a discussion about that! The documentation has some basic information on how to get started.
Community Support
People interested in continuing the work on paperless-ngx are encouraged to reach out here on github and in the Matrix Room. If you would like to contribute to the project on an ongoing basis there are multiple teams (frontend, ci/cd, etc) that could use your help so please reach out!
Translation
Paperless-ngx is available in many languages that are coordinated on Crowdin. If you want to help out by translating paperless-ngx into your language, please head over to https://crowdin.com/project/paperless-ngx, and thank you! More details can be found in CONTRIBUTING.md.
Feature Requests
Feature requests can be submitted via GitHub Discussions, you can search for existing ideas, add your own and vote for the ones you care about.
Bugs
For bugs please open an issue or start a discussion if you have questions.
Related Projects
Please see the wiki for a user-maintained list of related projects and software that is compatible with Paperless-ngx.
Important Note
Document scanners are typically used to scan sensitive documents like your social insurance number, tax records, invoices, etc. Paperless-ngx should never be run on an untrusted host because information is stored in clear text without encryption. No guarantees are made regarding security (but we do try!) and you use the app at your own risk. The safest way to run Paperless-ngx is on a local server in your own home with backups in place.