SAGE OCR
Local vision-language pipeline turning 76,009 scanned government and business documents into structured, CRM-linked records. Zero cloud, zero per-document cost, one Mac.
System Topology Pipeline
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Decades of scanned paperwork, tenancy contracts, national IDs, invoices and property deeds, sat outside every system. Cloud document AI was priced per page and would have moved identity documents off premises.
Two-tier engine routing so the expensive vision model only sees documents conventional OCR cannot handle. Classify-then-extract with grammar-enforced decoding against 48 Pydantic schemas. An idempotent, resumable harness with dead-lettering and confidence-tiered autonomy.
The full corpus processed on a single machine at zero cloud cost and zero data egress, with 77% of extractions auto-linked to the CRM and a documented fabrication incident caught by field-level metrics rather than schema validation.
Local vision-language pipeline turning 76,009 scanned government and business documents into structured, CRM-linked records. Zero cloud, zero per-document cost, one Mac.