LabelLens
How it works

From a pesticide label image to practical farmer guidance

LabelLens combines OCR and structured parsing with a deterministic safety engine, then presents the readable result as cautious guidance and a traceable farmer record.

OCR extractionDeterministic safetyTraceable records

LabelLens product promise

Input

Camera scan or uploaded label images

Analysis

OCR, parser, and deterministic safety checks

Farmer output

Guidance, dosage support, voucher, and spray record

Advisory only. Always follow the original pesticide label and seek expert guidance when information is unclear.

The LabelLens flow

Six clear stages, with uncertainty kept visible

Each stage has a specific role. The safety engine does not guess missing label facts, and the output remains advisory.

  1. Step 1

    Scan or upload

    Capture clear pesticide label photos with a phone camera or upload existing images.

  2. Step 2

    OCR reads visible text

    OCR extracts readable product, composition, dosage, warning, and instruction text.

  3. Step 3

    Parser structures details

    The parser organizes detected text into fields the farmer experience can explain clearly.

  4. Step 4

    Safety engine checks rules

    Deterministic rules evaluate known warning signals and keep unclear information unknown.

  5. Step 5

    Farmer guidance appears

    Readable findings become simple advisory, including dosage and local-language guidance.

  6. Step 6

    Voucher and record trail

    Logged-in farmers can save a DV voucher, QR verification trail, and spray record.

Cautious output

Guidance supports decisions; it does not replace the original label

When text is incomplete, unclear, or low-confidence, LabelLens asks for caution rather than filling in the gaps.

Unknown stays unknown

Warnings stay prominent

Records stay traceable