Unstructured File Loader

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Node Details

  • Name: UnstructuredFile_DocumentLoaders
  • Type: Document
  • Category: Document Loaders
  • Version: 3.0

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Input Parameters

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Main Parameters

  1. File Path (optional)
    • Type: string
    • Description: Path to the file to be processed. This will be deprecated in future releases.
  2. Files Upload
    • Type: file
    • Description: Files to be processed. Multiple files can be uploaded.
    • Supported file types: .txt, .text, .pdf, .docx, .doc, .jpg, .jpeg, .eml, .html, .htm, .md, .pptx, .ppt, .msg, .rtf, .xlsx, .xls, .odt, .epub
  3. Unstructured API URL
  4. Strategy
    • Type: options
    • Options: Hi-Res, Fast, OCR Only, Auto
    • Default: “auto”
    • Description: The strategy to use for partitioning PDF/image.

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Additional Parameters

  1. Encoding (optional)
    • Type: string
    • Default: “utf-8”
    • Description: The encoding method used to decode the text input.
  2. Skip Infer Table Types (optional)
    • Type: multiOptions
    • Default: [“pdf”, “jpg”, “png”]
    • Description: Document types to skip table extraction with.
  3. Hi-Res Model Name (optional)
    • Type: options
    • Options: chipper, detectron2_onnx, yolox, yolox_quantized
    • Default: “detectron2_onnx”
    • Description: The name of the inference model used when strategy is hi_res.
  4. Chunking Strategy (optional)
    • Type: options
    • Options: None, By Title
    • Default: “by_title”
    • Description: Strategy to chunk the returned elements.
  5. OCR Languages (optional)
    • Type: multiOptions
    • Description: The languages to use for OCR.
  6. Source ID Key (optional)
    • Type: string
    • Default: “source”
    • Description: Key used to get the true source of document.
  7. Coordinates (optional)
    • Type: boolean
    • Default: false
    • Description: If true, return coordinates for each element.
  8. XML Keep Tags (optional)
    • Type: boolean
    • Description: Whether to keep XML tags in the output.
  9. Include Page Breaks (optional)
    • Type: boolean
    • Description: When true, include page break elements when the filetype supports it.
  10. Multi-Page Sections (optional)
    • Type: boolean
    • Description: Whether to treat multi-page documents as separate sections.
  11. Combine Under N Chars (optional)
    • Type: number
    • Description: Combine elements until a section reaches a length of n chars.
  12. New After N Chars (optional)
    • Type: number
    • Description: Cut off new sections after reaching a length of n chars (soft max).
  13. Max Characters (optional)
    • Type: number
    • Default: 500
    • Description: Cut off new sections after reaching a length of n chars (hard max).
  14. Additional Metadata (optional)
    • Type: json
    • Description: Additional metadata to be added to the extracted documents.
  15. Omit Metadata Keys (optional)
    • Type: string
    • Description: List of metadata keys to omit from the output.

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Output

The node outputs an array of IDocument objects, each representing a processed document with its content and metadata.

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Credentials

  • Unstructured API Key (optional): API key for accessing the Unstructured.io API.

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Use Cases

  1. Extracting text and structure from complex document formats like PDFs or scanned images.
  2. Processing multiple files of different types in a single workflow.
  3. Preparing unstructured data for further NLP tasks such as summarization, question answering, or information extraction.

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Notes

  • This node is particularly useful for handling documents with complex layouts or mixed content types.
  • The Unstructured.io API provides advanced document processing capabilities, including OCR for images and scanned documents.
  • Users can fine-tune the processing by