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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 audio processing operations such as OCR, 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 workflows that require extracting, summarizing, or anonymizing data from documents and audio files, for example, summarizing meeting recordings, extracting text from scanned documents, or anonymizing sensitive information in text.

Use Case Examples

  1. Summarize audio content from a WAV or MP3 file to generate concise meeting notes.
  2. Extract text from scanned PDF documents using OCR for further processing.
  3. Anonymize personally identifiable information (PII) in text data to comply with privacy regulations.

Properties

Name Meaning
Input Type Specifies the type of input data to process, which can be 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 retry attempts on failure.

Output

JSON

  • json - The main output containing the processed results such as extracted text, transcription, summary, anonymized data, or pipeline execution status.

Dependencies

  • Requires an Aparavi API key credential for authentication.

Troubleshooting

  • Ensure 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 specific operations like PII anonymization; using text input for unsupported operations will cause errors.
  • Network connection issues to the Aparavi service may cause retries; persistent connection failures will throw errors.
  • Invalid JSON format for custom pipeline configuration will cause parsing errors.

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