Unstructured

Install the Unstructured library and call it with your document-specify the file path or provide document bytes. Unstructured automatically detects document type (PDF, HTML, image, etc.) and applies the appropriate parser. The library extracts text, tables, images, and metadata, organizing content hierarchically (title, heading, paragraph, table, etc.). Output the results as structured JSON, markdown, or other formats. For complex document processing at scale, use Unstructured's API service or run the open-source library. The library preserves semantic structure-understanding what's a heading versus body text versus a table-rather than just extracting raw text.

• •Multi-Format Support: PDFs, Word documents, HTML, emails, images, and more
• •Intelligent Extraction: Preserves document structure and semantic meaning
• •Metadata Extraction: Extract titles, headings, and structural elements
• •Table Handling: Properly parse and structure table data
• •Image Support: Extract and analyze images within documents
• •Multiple Output Formats: JSON, markdown, and other structured formats
• •Scalable Processing: Open-source library or managed API for processing at scale

Unstructured is essential for any developer building AI applications that need to ingest documents. It's ideal for companies building RAG systems, document search tools, knowledge base creation systems, and content processing pipelines. It's suited for teams implementing AI features that need to consume documents as input, researchers processing document collections, and organizations automating document analysis. It's valuable for any application where AI needs to understand unstructured document content.