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PDF4me

Comprehensive PDF and document processing: generate barcodes, convert files, extract data, manipulate images, and automate workflows with the PDF4ME API

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Overview

The node provides an AI-powered processing capability specifically for health card documents. It accepts a health card file in various input formats (binary data, base64 string, or URL) and processes it to extract structured information or generate a formatted text summary. This is useful in healthcare automation workflows where extracting patient or health card details automatically from scanned images or digital files is required.

Practical examples include:

  • Automatically extracting patient information from uploaded health card images.
  • Processing health cards received via URLs to integrate with electronic health record systems.
  • Generating human-readable summaries of health card data for review or reporting.

Properties

Name Meaning
Input Data Type Choose how to provide the health card document: Binary Data (file from previous node), Base64 String, or URL to the file.
Input Binary Field Name of the binary property containing the health card file (used if Input Data Type is Binary Data).
Base64 Health Card Content Base64 encoded content of the health card (used if Input Data Type is Base64 String).
Health Card URL URL pointing to the health card file to process (used if Input Data Type is URL).
Health Card Name Name of the source health card file for reference (e.g., original filename).
Output Format Format of the processed output: JSON (structured data) or Text (formatted summary).
Output File Name Name for the output file without extension (used if Output Format is Text).
Advanced Options Additional options including:
- Use Async Processing: Whether to use asynchronous processing for large health cards (default true).
- Profiles: Custom processing profiles for health card analysis (comma-separated list).

Output

The node outputs the processed health card data in one of two formats:

  • JSON: A structured JSON object containing extracted health card information such as patient details, card metadata, and other relevant fields parsed by the AI.
  • Text: A formatted textual summary of the extracted health card data, suitable for display or reporting purposes.

If the output format is text, the node also allows specifying a custom output file name (without extension).

No binary output is indicated for this operation.

Dependencies

  • The node relies on an AI processing service capable of analyzing health card documents. This likely requires an API key or authentication token configured in n8n credentials (not explicitly named here).
  • Network access may be needed if providing the health card via URL.
  • No additional environment variables are explicitly required based on the static code.

Troubleshooting

  • Common Issues:

    • Providing an incorrect or inaccessible URL will cause failures in fetching the health card file.
    • Incorrect base64 encoding or malformed binary data input can lead to processing errors.
    • Large health card files might time out or fail if asynchronous processing is disabled.
  • Error Messages:

    • Errors related to file retrieval or decoding usually indicate issues with the input data type or content.
    • API-related errors may occur if authentication credentials are missing or invalid.
    • To resolve, verify input data correctness, ensure proper credential configuration, and consider enabling asynchronous processing for large files.

Links and References

  • No direct external links are provided in the source code.
  • For more information on health card standards and AI document processing, users may refer to healthcare interoperability resources or AI document extraction services documentation.

Discussion