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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 text data, making it versatile for workflows involving document and audio data extraction and analysis. For example, it can transcribe audio files to text, extract text from images using OCR, or anonymize personally identifiable information in text data.

Use Case Examples

  1. Transcribing an audio file to text for transcription workflows.
  2. Extracting text from scanned documents using OCR for data extraction.
  3. Anonymizing sensitive information in text data to comply with privacy regulations.

Properties

Name Meaning
Input Type Specifies the type of input data to process, such as a file path, binary data, or 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 transcribed text, parsed data, or anonymized text depending on the operation.

Dependencies

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

Troubleshooting

  • Ensure the Aparavi API credentials are correctly configured; missing or invalid credentials will cause authentication errors.
  • File input operations require valid file paths or binary data; invalid paths or missing binary data will cause errors.
  • Text input is only supported for specific operations like Anonymize PII; using text input for unsupported operations will cause errors.
  • Network connection issues to the Aparavi API or WebSocket endpoint may cause connection failures; retry logic is implemented but persistent failures require checking network settings or API availability.

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