Modern AI-Enhanced Text Data Pipeline

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Hi glossAPI maintainers

I’d like to contribute to the text data pipeline standards by adding a modern workflow for automated text preprocessing and AI enhancements.

The proposed pipeline covers:

• Text Normalization (Unicode, punctuation, whitespace cleanup)
• Heuristic Filtering (low-quality text removal, repetition removal)
• Deduplication (exact and near-duplicate detection)
• Sharding for scalable processing

Additionally, optional AI modules could be integrated for:

• PII Detection & Redaction
• Text Quality Scoring

The pipeline should also integrate with a backend API (FastAPI / Node.js) to allow real-time ingestion, processing, and AI-based enhancements.

Goal:

• Create a reproducible, modular, and automated pipeline
• Improve data quality and consistency across large-scale text datasets

I’ve also prepared a simple schematic diagram of the workflow (can attach later).

Looking forward to your feedback and suggestions. I’m happy to submit a Pull Request once the idea is approved.

Thank you!