Apache Tika Server - Managed Support

AWS Applications

Apache Tika Server, a REST service that detects file types and extracts text and metadata from documents in over a thousand formats.

Base
Hardened build
minimal ports, security patches applied at build time
Access
Unique credentials
generated on first boot, readable only by root
Verified
Boots working
services pass a health gate before release
Support
24/7, 365 days
by email and live chat, 24 hour response SLA

Overview

Apache Tika Server is the standalone HTTP interface to the Apache Tika toolkit, exposing content detection and extraction over a simple REST API. Send it a document, PDF, Office file, email, image or one of more than a thousand supported formats, and it returns the plain text content and a structured set of metadata such as author, title, dates and the detected media type. It is stateless, holding no data between requests, which makes it a natural building block in search indexing, document processing and retrieval augmented generation pipelines that need to turn arbitrary files into clean, machine readable text. Backed by the mature PDFBox and Apache POI parsers, it handles the messy variety of real world documents so applications do not have to.

Why the cloudimg image

The cloudimg image is hardened and fully patched with Apache Tika Server preconfigured as a dedicated non root service bound to loopback and never exposed directly. It ships secure by default: the Tika API is fronted by nginx which terminates TLS with a certificate generated uniquely on every instance and enforces HTTP Basic Auth, the dangerous file fetching and unpack features stay disabled to close the metadata request forgery path, instance metadata service version two is enforced, and heap, memory and upload size limits contain oversized or malicious uploads. No credential and no usable certificate are baked in: on first boot every instance generates its own Basic Auth password and its own certificate, so no two deployments share a secret. Every instance is backed by a paired deploy guide and 24/7 cloudimg support.

Common uses

  • Text extraction for search indexing
  • Document ingestion for RAG pipelines
  • File type detection and metadata extraction

Key features

  • Apache Tika Server installed from the official Maven Central build (SHA-512 verified) on OpenJDK 17, fronted by nginx as a TLS-terminating reverse proxy, with a dedicated service account and a hardened systemd unit that starts it on boot. One REST API detects and extracts text and metadata from thousands of file types including PDF, Microsoft Office, images and archives - production-ready within minutes of launch on an m5.large or larger instance.
  • Secure by default with no shared credentials. The Tika listener is bound to loopback only; nginx terminates TLS with a certificate generated uniquely per instance and enforces a unique HTTP Basic Auth password created on first boot. URL-fetching and unpack features are disabled to close the SSRF-to-metadata path, IMDSv2 is enforced, and JVM heap caps, systemd memory ceilings, and nginx upload-size limits protect against oversized or zip-bomb uploads.
  • 24/7 technical support from cloudimg engineers by email and live chat, with a one-hour average response for critical issues. Support scope covers deployment and sizing, JVM and Tika tuning, enabling OCR and additional parsers, integrating Tika into search and RAG pipelines, TLS and reverse-proxy configuration, credential management, and Tika upgrades and troubleshooting.

Description

This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

## Text and Metadata Extraction as a Service

Apache Tika is the Apache Software Foundation's content detection and extraction toolkit. It detects and extracts text and metadata from thousands of file types - PDF, Microsoft Office and OpenDocument, HTML, RTF, EPUB, images, email and archive formats - through one consistent REST API. This image runs Tika Server 3.3.1 on OpenJDK 17 as a hardened, stateless service, so you can turn a document into clean text or structured metadata within minutes of launch rather than assembling a parser stack yourself.

## Who This Is For

Search and data teams building a document ingestion pipeline who need reliable text extraction as the first stage. AI and RAG builders who need to turn PDFs, spreadsheets and slide decks into plain text before chunking and embedding. Application developers who need a standards-based extraction endpoint to call from their own services instead of bundling dozens of parser libraries.

## What Is Installed

  • Apache Tika Server 3.3.1 (tika-server-standard), the official build pulled from Maven Central and SHA-512 verified
  • OpenJDK 17 (headless) as the runtime
  • nginx as a TLS-terminating reverse proxy in front of the Tika listener
  • A dedicated unprivileged tika service account and a hardened systemd unit that starts the service on boot
  • Sample DOCX and PDF fixtures so a real extraction round trip can be verified out of the box

## Secure By Default

Tika Server has no built-in authentication and a real history of parser CVEs, so this image does not expose it directly:

  • The Tika listener is bound to the loopback interface only and is never reachable from the network
  • nginx fronts the whole REST surface, terminating TLS on port 443 with a certificate generated uniquely on each instance
  • A one-shot first-boot service generates a unique HTTP Basic Auth password on every instance and writes it to a root-only file
  • The dangerous URL-fetching and unpack features are left disabled, closing the classic server-side request forgery path to the instance metadata service, and IMDSv2 is enforced as a second line of defence
  • Resource limits contain a malicious oversized or zip-bomb upload: the JVM heap is hard capped, the service has a systemd memory ceiling and is auto-restarted, and nginx caps the upload size

## Network Model

The shipped security group opens only port 22. The HTTPS listener on port 443 is not exposed by default. Add a port 443 ingress rule scoped to your own network when you are ready, or reach the service over an SSH tunnel. The user guide covers both, along with pointing an upstream load balancer or your own certificate at the service.

## Getting Started

1. Launch the image on an m5.large instance or larger, with port 22 open to your management network

2. Connect over SSH as the default login user for your variant (the user guide lists it)

3. Retrieve the generated API password with sudo cat /root/tika-server-credentials.txt

4. Extract text from a document: curl -u admin:PASSWORD -k -T report.pdf -H 'Accept: text/plain' https://INSTANCE/tika

5. Extract metadata as JSON from the /meta endpoint, or recursive text and metadata from /rmeta

6. Add a port 443 rule scoped to your network, or front the service with your own load balancer and certificate

## 24/7 cloudimg Support

Every deployment is backed by cloudimg engineers available around the clock by email and live chat. Support covers deployment and sizing guidance, tuning the JVM heap and Tika configuration for your document mix, enabling OCR or additional parsers, wiring Tika into a search or retrieval-augmented-generation pipeline, TLS certificate and reverse proxy configuration, credential management, and Tika upgrades and troubleshooting. Critical issues receive a one-hour average response time.

## Evaluation

This image uses standard AWS pay-as-you-go infrastructure billing. Launch an instance to evaluate extraction against your own documents, and terminate at any time.

Apache, Apache Tika and Tika are trademarks of The Apache Software Foundation. All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Related technologies

text extractionmetadata extractiondocument parsingcontent extractionpdf text extractiondocument ingestionrag pipelineocr servertika serverfile conversionnlp preprocessingdocument ai