Live demo · Indian logistics documents
Zimpra OCR turns blurry phone photos of PODs, lorry receipts, challans and e-way bills into structured, verified data, including handwriting, Hindi and stamps. No templates. No setup.
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PROOF OF DELIVERY
Shree Ganesh Roadlines
LR No: CG/24/92831
Vehicle: CG 04 AB 1234
Consignee: Balaji Traders
Cement OPC 53 ..... 100 BAGS
Cement PPC ........ 25 BAGS
Received By: Rahul Sharma
Date: 25/9/26
Document type
Proof of Delivery
CG/24/92831
CG04AB1234
Balaji Traders, Bilaspur
125 BAGS
Rahul Sharma
25 Sep 2026
How it works
One upload. Fields stream in while the AI is still reading.
Phone photo, WhatsApp forward, scan or PDF. Drag, paste or use the camera.
Orientation, contrast, shadows and noise fixed in milliseconds before the AI sees it.
Fields appear live as the model reads them. No templates, no setup per transporter.
Messy pen handwriting and low-confidence values are cropped, zoomed and read again.
A clean electronic POD, evidence for every value, and one-click human verification.
Built for the loading bay
Every transporter's format is different. Zimpra OCR discovers the fields that are actually on the page: LR No, Seal No, Gate Entry, whatever is there.
Built for real Indian paperwork: pen-filled receipts, Devanagari labels, stamps over text, faded thermal prints and folded copies.
Click any field and the exact spot on the document lights up. Nobody has to trust a black box.
Each value carries its own confidence. Low ones are flagged for review. The AI never marks a POD as verified; only a person can.
Detects signatures, stamps, seals, barcodes, QR codes and visible damage, cropped straight into the ePOD.
Paste expected LR, vehicle, invoice and quantity. Mismatches surface instantly, with synonyms handled (Truck No = Vehicle No).
Upload a real document and watch it turn into a verified ePOD.
Open the demo →