Overview
Storm Parse Overview
Overview:
Most RAG systems underperform because upstream parsing produces low-quality, context-stripped data, leading to hallucinations and inaccurate retrieval. STORM Parse solves this data-quality bottleneck at the source. In benchmarks, our solution improved RAG answer accuracy by over 30% versus alternatives, reaching peak precision when paired with STORM's proprietary RAG engine.
Key Features:
- Optimized Multi-Method Parsing: Rather than applying a single technique to every file, STORM Parse automatically selects and applies the parsing methods best suited to each document type, delivering consistently higher accuracy across diverse formats.
- Context-Aware Parsing: STORM Parse goes beyond simple text extraction. It reads the full context of a document, understands what each section actually represents, and parses with that meaning intact, preserving hierarchy and semantic relationships the way a human reader would.
- RAG-Optimized Output: Tables, charts, and visuals are transformed into descriptive natural language that is ideally structured for retrieval, dramatically improving downstream answer quality. Each output chunk also retains its original context, avoiding the common failure where data is separated from its headers mid-table during chunking.
Who Benefits & Ideal Use Cases:
It is built for enterprises and developers building RAG pipelines, AI agents, knowledge-base search, and document-intelligence applications. It is particularly powerful for teams working with high-complexity documents, such as:
- Financial reports (e.g., M&A due diligence files and heavily redacted legal contracts)
- Technical manuals (e.g., Industrial Engineering Schematics & P&ID Manuals)
- Research corpora (e.g., STEM research papers laden with complex formulas and multi-dimensional charts)
- Regulatory filings (e.g., Scanned audited financial statements with nested tables and footnotes)
Key Tasks:
- Agentic Document Parsing
- Context-Preserving Parsing
- Complex Table & Chart Extraction
- Layout & Structure Recognition
- Visual-to-Text Conversion
- RAG Data Preparation
Highlights
- Agentic Document Parsing: Automatically applies the optimal extraction method for each file type, effortlessly processing high-complexity documents that break standard parsers.
- Context-Preserving Extraction: Maintains the original document hierarchy and semantic relationships, preventing data loss and significantly improving RAG retrieval accuracy.
- RAG-Ready Data Structuring: Converts nested tables, complex charts, and mixed layouts into descriptive natural language structured perfectly for RAG pipelines and LLM reasoning.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Vendor refund policy
STORM Parse can be tested free of charge via the STORM Parse Playground. Paid API usage runs on a credit system: Members purchase Paid Credits and consume them based on usage. Members may request a refund of the unused balance of purchased Paid Credits under applicable law, including the Act on Consumer Protection in Electronic Commerce. Used credits, expired credits, and Free Credits are non-refundable. Actual refund-processing costs, such as payment-gateway fees, may be deducted.
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Delivery details
API-Based Agents & Tools
API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
API
API Guide: https://storm-apis.apidog.io/english
To use the API:
- Subscribe to this product in AWS Marketplace.
- Go to https://www.sionicstorm.ai/en/storm-apis/signUp and sign in or create a Sionic account.
- Generate an API key from the STORM API console.
- Call the STORM Parse API endpoint using the API key in the request header.
- See the API documentation for endpoint schemas, request/response examples, limits, and error codes: {API docs URL}
Support
Vendor support
STORM Parse is available in two forms: a flexible API and packaged plans tailored to your needs.
Before adopting, you can try STORM Parse for free through our Playground, upload a document and see how it automatically analyzes layout, recognizes information inside images, and performs RAG preprocessing in a single step.
- Try it free (Playground): https://www.sionicstorm.ai/en/storm-apis/playground
- API documentation: https://storm-apis.apidog.io/english
Whether you have sales and adoption inquiries or need technical assistance with API integration, our team is ready to help. Please reach out through the following contact details, and our experts will follow up promptly to discuss your requirements and provide necessary support.
- Support email: contact@sionic.ai
- Phone number: +82-2-557-7500
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.