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  "_file": "domain/stack-profiles/deep-stacks-2.yaml",
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    "displayName": "Document Processing Pipeline (OCR + NLP + Python + Elasticsearch + FastAPI)",
    "description": "A document ingestion and intelligence pipeline: OCR engines extract\ntext from scanned PDFs and images, NLP models classify, extract\nentities, and summarize content, Python orchestrates the processing\nworkflow, Elasticsearch indexes processed documents for full-text\nsearch and faceted retrieval, and FastAPI exposes the pipeline as a\nREST API for upstream applications.\n\nThe ingest flow accepts documents via upload or S3 event triggers,\nruns OCR with Tesseract or cloud vision APIs, applies spaCy or\nHugging Face transformers for NER, classification, and summarization,\nstores structured metadata in PostgreSQL, and indexes the full text\nin Elasticsearch. Celery or BullMQ handles async job processing for\nlarge batch ingestion. This stack powers legal document review, invoice\nprocessing, compliance document analysis, and enterprise search. The\nmain tradeoffs are OCR accuracy on degraded documents and the compute\ncost of running transformer models at scale.\n",
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      "framework:fastapi",
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