Deploy docling_railway

Docling + authentication + IP filtering + Gzip + Autosleep configured

Deploy docling_railway

public_railway_docling

theseedship/public_railway_docling

Just deployed

docling-serve

docling-project/docling-serve-cpu:latest

Just deployed

/app

🇬🇧 English Version

Deploy and Host docling_railway on Railway

Docling is an AI framework for document processing (PDFs, images, PowerPoint, Word) with OCR, table extraction, and format conversion.


About Hosting docling_railway

Hosting docling_railway on Railway gives you an instant, production-ready deployment of Docling with built-in optimizations. This template provides:

  • 🔑 Ultra-simple password: Just set PASSWORD (auto-encrypted, change anytime)
  • 🔐 Built-in security: Authentication and IP filtering included
  • ⚡ Optimized for Railway: Model caching, Gzip compression, instant deploy
  • 😮 Sleep mode ready: Auto-sleeps when idle, wakes in ~10s with cached models
  • 💰 Cost-effective: Pay only when active

With sleep mode enabled, your Docling instance stays efficient and eco-friendly.


Common Use Cases

  • Automating document parsing (PDF, Word, PPT, images) for AI pipelines
  • Extracting tables, text, and structure from reports and archives
  • Building knowledge bases or RAG systems with structured document data

Dependencies for docling_railway Hosting

  • Railway account (deployment platform)
  • Docker (preconfigured in this template)

Deployment Dependencies

Required environment variable:

  • PASSWORD – ultra-simple authentication (auto-encrypted, change anytime)

Why Deploy docling_railway on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying docling_railway on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.


đŸ‡«đŸ‡· Version Française

Déployer et Héberger docling_railway sur Railway

Docling est un framework IA pour le traitement documentaire (PDF, images, PowerPoint, Word) avec OCR, extraction de tableaux et conversion de formats.


À propos de l’hĂ©bergement de docling_railway

HĂ©berger docling_railway sur Railway permet de dĂ©ployer immĂ©diatement une instance Docling prĂȘte pour la production et optimisĂ©e. Ce template offre :

  • 🔑 Mot de passe ultra-simple : DĂ©finissez PASSWORD (chiffrĂ© automatiquement, modifiable Ă  tout moment)
  • 🔐 SĂ©curitĂ© intĂ©grĂ©e : Authentification et filtrage IP inclus
  • ⚡ OptimisĂ© pour Railway : Cache des modĂšles, compression Gzip, dĂ©ploiement instantanĂ©
  • 😮 Mode veille intelligent : S’endort automatiquement, redĂ©marre en ~10s avec modĂšles en cache
  • 💰 Économique : Payez uniquement Ă  l’usage, rĂ©seau privĂ© inclus

Avec le mode veille activé, votre instance Docling reste performante et écoresponsable.


Cas d’usage courants

  • Automatisation de l’analyse documentaire (PDF, Word, PPT, images) pour pipelines IA
  • Extraction de tableaux, textes et structures Ă  partir de rapports et archives
  • Construction de bases de connaissances ou de systĂšmes RAG avec donnĂ©es documentaires structurĂ©es

DĂ©pendances pour l’hĂ©bergement de docling_railway

  • Compte Railway (plateforme de dĂ©ploiement)
  • Docker (prĂ©configurĂ© dans ce template)

Dépendances de déploiement

Variable d’environnement requise :

  • PASSWORD – authentification ultra-simple (chiffrĂ©e automatiquement, modifiable Ă  tout moment)

Pourquoi déployer docling_railway sur Railway ?

Railway est une plateforme unique pour dĂ©ployer votre stack d’infrastructure. Railway hĂ©berge vos services sans que vous ayez Ă  gĂ©rer la configuration, tout en vous permettant d’évoluer verticalement et horizontalement.

En dĂ©ployant docling_railway sur Railway, vous vous rapprochez d’une application full-stack complĂšte avec un minimum de charge. HĂ©bergez vos serveurs, bases de donnĂ©es, agents IA et plus encore sur Railway.


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