Traqo.ai
Settle & Comply

OCR POD

Driver clicks a photo of the POD. Our AI extracts every field. Settlement starts. No data entry.

1.2M+ PODs digitized · 99.4% extraction accuracy

POD scan · BLR-2841
Paper → digital · 30s
Scanning
POD · CONSIGNMENT NOTE
LR No: BLR-2841/24
Date: 12.06.26
Vehicle: MH 12 BC 9847
Consignee: Northpoint Auto
Items: 248 ctns · 28.4t
Recd by: R. Krishnan
SIGNATURE
Extracted
LR Number
— pending —
Delivery date
— pending —
Vehicle
— pending —
Consignee
— pending —
Items
— pending —
Signed by
— pending —
Receiver stamp
— pending —
Match confidence: 99.4%
12,847 PODs digitised today

Before & After

Two ways to run ocr pod.

Without Traqo
Data entry queue
3,412 pending · 7d backlog
Proof of Delivery
LR-7280
signature
Proof of Delivery
LR-7281
signature
Proof of Delivery
LR-7282
signature
Proof of Delivery
LR-7283
signature
Proof of Delivery
LR-7284
signature
Pending
14 fields × 3,412 PODs
— manual entry —
  • Driver hands over a paper POD at month-end
  • Data entry team types 14 fields per POD
  • Disputes drag for weeks because nobody can find the doc
With OCR POD
Auto-extracting
99.4% accuracy
POD
LR-7281
scanning
Extracted fields
30 sec · attached to invoice
→ settlement fires
  • Driver snaps a photo on WhatsApp
  • AI extracts LR no, qty, signature, stamp, condition
  • POD attached to invoice — settlement starts in seconds

How it works

Three steps. From your first day.

POD ingest · 12K/day
PROOF OF DELIVERY
LR: TRQ-44192-21
Date: 12 Apr 2026
Veh: MH12 AB 4521
A. Patel
received in good condition*
Extracted fields · 0.8s
LR NumberTRQ-44192-21
Date12 Apr 2026
VehicleMH12 AB 4521
ReceiverAnand Patel
Damage note1 box dented
StampVerified
1
Step 01

Snap & send

Driver photographs POD on WhatsApp. Done.

2
Step 02

AI extracts

OCR + computer vision pull every field with 99% accuracy.

3
Step 03

Auto-attached

POD links to LR, invoice, and trip — billing fires.

What's inside

Everything you need. Nothing you don't.

POD · TRQ-44192-21.jpg
delivered 14:32 ✓✓

WhatsApp capture

No driver app. Just a regular WhatsApp message.

Field confidence · last scan
LR Number99.4%
Date · Vehicle97.1%
Receiver name94.8%
Stamp · signature88.2%

99% OCR accuracy

Trained on 1M+ PODs across 14 carriers worldwide.

POD
Damage flagged
box 03 — torn corner detected by CV
auto-claim raised

Damage detection

Computer vision flags torn, stained, or shortage notes.

TRQ-44|
TRQ-44192-21 · Apr
TRQ-44188-19 · Apr
TRQ-44012-04 · Mar
3 of 4,218 · 0.18s

Searchable archive

Find any POD in 2 seconds, even from 3 years ago.

The number that matters

30 sec

from POD photo to digital record

down from 7 days

Trend · last 12 weeks
+412%
now
W1
W6
W12
Peak W12
Sourced from active accounts

"Disputes that used to take 3 weeks now close the same day. POD is no longer the bottleneck."

Mrs. Bectors Food
Finance Head

The result

14-day → same-day settlement
Their morning view
3,412
PODs digitized today
99.4% accuracy
Avg time
30s
Disputes
0
Your stack →
0 of 14 modules · one platformOCR POD active

Get started

See OCR POD
in your warehouse.

30-minute walkthrough on your own data. No IT team. No commitment.

OCR POD · Paper POD → digital in 30 seconds · Traqo.ai