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Synthetic Documents generation

Overview

YData SDK supports the generation of synthetic documents — including PDF, Word (.docx), and HTML formats. This feature allows you to simulate realistic document collections with structured content, ideal for tasks such as building privacy preserving Knowledge Bases, provide private-by-design documents to a RAG system, testing document processing pipelines, training machine learning models (e.g., document classification or OCR), or developing data-centric applications that rely on unstructured or semi-structured documents.

This feature is built for flexibility and scalability, allowing users to define document structure, simulate content patterns, and export in widely used formats.

Why Synthetic Documents?

Synthetic document generation is essential in data-centric AI and software development because:

  • Data Scarcity: Real-world documents are often private, regulated, or hard to collect.
  • Privacy & Anonymity: Synthetic documents remove sensitive information while preserving structure and semantics.
  • Testing & Automation: Enable reliable testing of systems that rely on document ingestion, extraction, and classification.
  • AI & ML: Train models in areas such as LLMs, VLMs, OCR, document segmentation, and NLP, with full control over labels and layout.

Key Capabilities

  • Multi-format Output: Generate files in:
    • PDF
    • Word (.docx)
    • HTML
  • Customizable Templates: Define document schemas using flexible specifications.
  • Section-based Layout: Create documents with a title, headings, paragraphs, tables, and more.
  • Synthetic Content Generation: Populate sections with realistic data, based on your proprietary documents.
  • Multiple Output Modes: Generate single files or entire collections of documents programmatically.

Feature in Beta

This feature is in beta. Contact us if you are having issues!

Related Materials

  • TBA soon!