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Haier Document-Intelligence Platform

A production document-AI platform that ingests documents and photos from a client system, runs them through swappable vision-LLM pipelines, validates with deterministic Python, and returns structured JSON to webhooks, running live against real client batches.

PeriodNov 2025 – Apr 2026StatusProductionAreaAI · Vision & OCR

Haier Document-Intelligence Platform visual

Highlights

  1. Vendor-agnostic LLM layer swapped across local Ollama qwen3-vl, AWS Bedrock Qwen3-VL-235B, and Gemini, chosen per use case on measured cost, latency and quality.
  2. Map-reduce pipeline for 15–20+ page legal PDFs with a context memo carried across chunked LLM calls and a global-best reduce phase.
  3. Evidence-based invoice arithmetic validator with an OCR digit-confusion model: it cross-checks totals and tax and only auto-corrects when multiple independent signals agree.
  4. Hybrid OCR↔LLM repair: PaddleOCR text repairs GSTIN and dirty dates the LLM misread, instead of trusting either source blindly.
  5. Classify→crop→normalise preprocessing router (ResNet-18) with multithreaded page rendering.