Unstructured

Unstructured is a comprehensive document processing platform that transforms unstructured documents into structured, AI-ready data. It provides pre-processing pipelines specifically designed for Retrieval Augmented Generation (RAG) systems and machine learning model training. The platform handles diverse document formats including PDFs, Word documents, PowerPoint presentations, images, HTML, and email files.

Common Use Cases

AI engineering teams use Unstructured to prepare documents for RAG pipelines, converting company knowledge bases, technical documentation, and research papers into vector embeddings for semantic search. Data science teams leverage the API to extract training data from unstructured sources for fine-tuning language models. Document automation workflows integrate Unstructured to parse invoices, contracts, and forms, extracting key information into structured databases. Research organizations process academic papers and historical documents, using OCR and table extraction to digitize and analyze large document collections.

Key Features

• Multi-format document support (PDF, DOCX, PPTX, images, HTML, email)
• OCR integration for scanned documents and images
• Table detection and extraction with structure preservation
• Text chunking optimized for embedding models
• Metadata extraction including titles, authors, and dates
• Document hierarchy and layout analysis
• REST API for programmatic document processing
• Batch processing support for large document sets
• Integration with popular vector databases
• Customizable extraction strategies per document type

Why deploy Unstructured on Hostinger VPS

Deploying Unstructured API on a Hostinger VPS ensures complete data privacy for sensitive documents. Unlike cloud-based document processing services that transmit your data externally, a self-hosted instance keeps all document processing on your infrastructure. Dedicated VPS resources provide consistent performance for processing large documents and handling OCR-intensive workloads. The API-based architecture makes it easy to integrate with existing data pipelines, RAG systems, and machine learning workflows. With Traefik handling HTTPS automatically, your document processing endpoints are secure from the start.