Longlichi
Tag Parsing & OCR
Inward receipts, dispatch notes & NPR recognition
Multi-Format Document Parsing
Extracts data from receipts, invoices, dispatch notes, and handwritten tags — handling messy real-world documents with ease.
Number Plate Recognition
Automatic NPR for logistics and access control — reads plates in any lighting condition, angle, or speed.
Structured Data Output
Converts unstructured documents into clean, database-ready JSON — ready to flow directly into your ERP or warehouse system.
Batch Processing
Processes thousands of documents per hour with consistent accuracy — no fatigue, no errors, no breaks.
Multi-Format Document Parsing
Scan inward receipts, dispatch notes, and number plates. Longlichi extracts structured data — SKUs, weights, vehicle numbers — with high confidence, ready for your ERP.
How Longlichi Works
Ingest
Feed documents via camera, scanner, or API upload. Longlichi handles PDFs, images, and even handwritten text.
Extract
AI parses text, tables, and fields with contextual understanding — knowing which field is a date, quantity, or product code.
Export
Clean structured data flows directly into your ERP, database, or downstream systems via API or file export.
Extraction accuracy
Documents per hour
Document types supported
Time saved vs manual entry
Cloth Tag Reading & Compliance
Reads fabric care labels, composition tags, and compliance markings — extracting data for regulatory verification at scale.
Receipt & Dispatch Processing
Automates inward receipt and dispatch note processing — extracting quantities, product codes, and dates from paper documents.
Processing speed
Longlichi processes up to 500 documents per minute in batch mode, with real-time single-document processing under 200ms.
Supported Document Types
Dispatch notes, invoices, packing slips, garment tags, care labels, compliance stickers, number plates, and custom document formats.
Let Longlichi read it for you.
Stop manual data entry forever. See how Longlichi extracts clean data from your messiest documents.
Request a demo