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Aparavi DTC

Complete Aparavi DTC platform with OCR, parsing, transcription, PII censoring, and custom pipelines
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Overview

This node integrates with the Aparavi DTC platform to perform various document and data processing operations such as OCR, document parsing, audio transcription, audio summarization, PII anonymization, and custom pipeline execution. It supports processing input from local files, binary data from previous nodes, or direct text input. The node is useful for automating data extraction, transcription, and sensitive data anonymization workflows, for example, extracting text from scanned documents, transcribing audio files, or censoring personal information in text data.

Use Case Examples

  1. Extract text from a PDF file using Simple OCR operation.
  2. Parse structured data from a document file using Simple Parse operation.
  3. Transcribe audio content from a binary audio file using Audio Transcribe operation.
  4. Anonymize personally identifiable information (PII) in a text string using Anonymize PII operation.

Properties

Name Meaning
Input Type Specifies the type of input data to process: a file path, binary data from a previous node, or direct text data.
File Path Full path to the file to process (used when Input Type is 'File Path').
Binary Property Name of the binary property containing the file to process (used when Input Type is 'Binary Data').
Text Data Text data to process (used when Input Type is 'Text Data').
Options Additional options for the operation including custom API base URL, timeout in seconds, and number of retry attempts on failure.

Output

JSON

  • json - The parsed or processed result returned from the Aparavi platform, which varies depending on the operation performed (e.g., OCR text, parsed data, transcription, anonymized text).

Dependencies

  • Requires an Aparavi API key credential for authentication to the Aparavi platform.

Troubleshooting

  • Ensure that the Aparavi API credentials are correctly configured; missing or invalid API keys will cause authentication errors.
  • File input operations require valid file paths or binary data; invalid paths or missing binary properties will cause errors.
  • Text input is only supported for the Anonymize PII operation; using text input for other operations will cause errors.
  • Network connection issues to the Aparavi service may cause connection errors; the node retries on connection failures but persistent issues require checking network and API endpoint availability.
  • Invalid JSON format for custom pipeline configuration will cause parsing errors; ensure the JSON is well-formed.

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