Multilingual OCR, ML-based ICR for handwriting, automatic document classification, and type-specific field extraction — all native to the platform. Every extraction anchored to the audit chain. Low-confidence fields flagged for human review.
Scanned PDFs, photographed permit sheets, multi-language regulatory filings, fax-quality images — TeamSync's OCR engine extracts printed text across 100+ languages at production accuracy. The extracted text lands in the Intelligent Repository as searchable, classifiable content from the moment of ingestion.
ML-based ICR recognises handwriting on forms, field reports, and clinical notes — including checkbox detection and signature identification. Below-threshold fields are flagged for human verification through a structured review interface. Verified corrections feed back into model improvement.
Every document is classified against the Intelligent Repository's taxonomy — invoice, contract, claim, batch record, permit, regulatory submission, clinical note — automatically at ingest. No manual tagging queue. The classification drives retention rules, workflow routing, and AI retrieval scoping from day one.
Contract: counterparty, effective date, value, renewal term. Invoice: amount, due date, vendor, line items. Clinical note: patient ID, diagnosis, medication, dosage. Each document type has a configured extraction schema. Fields extracted above confidence threshold land in structured metadata. Fields below threshold flag for human review.
Scanned archives, paper forms, and multi-language filings are ingested and structured automatically. No manual data entry. No separate IDP project to integrate.
The confidence model flags uncertain extractions for human review before they land in structured metadata. Corrections train the model. Accuracy improves over time.
Extraction output lands directly in the Intelligent Repository. No pipeline to build, no API to maintain, no separate IDP vendor to reconcile. One platform, one audit chain.
ICR extracts handwritten claim fields, classifies document type, and routes to the correct workflow. Low-confidence fields go to a structured review queue. The claims handler focuses on judgment, not data entry.
Multilingual OCR covers the patient population's language distribution. ICR handles handwritten fields. The EHR gets structured intake data from the moment the form is scanned.
Multi-language permit applications classified, fields extracted, and indexed in the Intelligent Repository. The planning team queries the corpus the day extraction completes.
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