STORM Parse

    The RAG-Optimized Data Parsing Engine
    A core technology from Sionic AI, STORM Parse analyzes unstructured data, understands its context and visual structure, and automatically refines it into clean, AI-ready information.
    See STORM Parse in Action

    KEY POINT

    Broad Format Support & Optimized Processing

    We support all major formats including PDF, DOCX, PPTX, XLSX, HWP, JPG, and PNG, each processed optimally based on its unique structure and characteristics.

    High-Performance, Layout-Aware Parsing

    Our Vision Language Model (VLM) precisely understands documents by holistically analyzing the layout, hierarchy, and spatial relationships of its visual elements.

    Automated Conversion to RAG-Optimized Format

    After interpreting text and visual information, it refines the content into natural language sentences perfectly structured for Large Language Models.

    Multilingual

    Our multilingual recognition delivers consistent, high-quality results for global document processing, regardless of language.

    STORM PARSE PERFORMANCE

    Original DocumentOriginal Document
    Parsed OutputParsed Output
    Sionic AI STORM ParseOpen-Source Parsing Engine
    Processing MethodA two-pass architecture separates layout analysis from semantic preservation, ensuring refined results with zero data lossSingle-step processing that extracts plain text or matches visual patterns
    Image HandlingIntegrated recognition of image-based text, shapes, and structural informationLimited recognition of image-based text, shapes, and structural information
    Table & Chart HandlingUnderstands merged cells, complex structures, and hierarchies to reconstruct content based on its true semantic meaningCan partially identify cells, but loses structural meaning and hierarchy
    Chart/Graph HandlingInterprets the context of charts and graphs, including numerical relationships, to generate descriptive, accurate explanationsExtracts plain text at basic OCR level
    RAG System CompatibilityDelivers semantically rich, natural language output, enabling high-accuracy results in RAG and retrieval systemsIncomplete integration with RAG due to fragmented information, leading to potential errors in response
    See STORM Parse in Action

    The STORM Parse 2–Pass Architecture

    From complex documents to tables and graphs, STORM Parse breaks down data barriers, making everything understandable to your AI

    Phase 1: Foundational Processing to Capture Every Detail

    Step 1Phase 1: Foundational Processing to Capture Every Detail

    Identify Document Elements

    • Handles diverse document formats (PDF, DOCX, PPTX, etc.)
    • Identifies the document’s layout, hierarchy, and visual structure
    • Distinguishes between unstructured elements like text, tables, images, and charts
    Phase 2: Advanced Processing for Semantic Understanding

    Step 2Phase 2: Advanced Processing for Semantic Understanding

    Convert Visual Information into Meaning

    • Utilizes a Vision Language Model (VLM) to analyze the relationships between all extracted elements
    • Organizes interconnected information into a coherent, natural language format
    • Delivers a final, perfectly structured output ready for any RAG system