Any input
PDFs, phone photos, scans, screenshots. Works with variable quality and arbitrary rotation.
OCR
AI reads before your team does.
Policies, contracts, invoices and records. The AI extracts the key data and validates it against your rules — before it reaches your team's hands.
What it does
The primitives, in plain English.
Structured extraction
Returns JSON against the schema you define — not plain text.
Rule validation
Cross-references the extracted data with your business rules and flags non-compliance.
Per-field confidence
Every extracted value carries a score — you set the threshold for auto-approve vs review.
How Flamerly operates it
You're not on your own.
- 01
Schema + rules
Workshop with your team to define what fields to extract and which validations apply.
- 02
Real-batch calibration
We take a representative set of real documents to measure precision and tune the model.
- 03
Operational threshold
We set the confidence cutoff that minimizes costly errors without flooding the human queue.
By industry
What it looks like, in production.
Retail
Vendor invoices: extraction + matching against PO + discrepancy alerts.
Financial
KYC: IDs + proofs + policies with validity and internal-consistency checks.
Logistics
Bills of lading, waybills and manifests with SKU, weight and destination extraction.