Accelerating Document AI
What Happened
Accelerating Document AI
Fordel's Take
Multimodal LLMs now ingest PDFs and images directly — no OCR step required. Claude Sonnet and Gemini 1.5 Pro handle tables, mixed layouts, and scanned documents end-to-end in a single API call.
Most RAG pipelines built in 2023 still route documents through Textract or Tesseract before chunking. That adds $1.50 per 1,000 pages plus pipeline latency. Treating document parsing as a preprocessing problem is now the wrong frame — the model is the parser.
Teams running invoice or contract extraction should cut Textract from the stack entirely. Plain text PDFs still work fine with pdfplumber.
What To Do
Drop Textract from pipelines using Claude or Gemini because native multimodal ingestion eliminates per-page costs and preprocessing latency.
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