CartonFieldStart with the packing list.
The planned workflow starts with your supplier’s PDF. Keep the original alongside the extracted shipment details.
AI document extraction for logistics
Your packing lists.
Ready for
what’s next.
Turn supplier PDFs into organised shipment data. Review the details, map your columns, and move on with your day.
Built for importers, freight teams, and 3PLs.
Preview the workflow below. Live processing is coming soon.
Shipment workspaceSAMPLE
PACKING LIST
NORTHLINE SUPPLY · SAMPLE DOCUMENT
01 SEP 2026
| Description / SKU | Qty | Cartons |
|---|---|---|
| Canvas tote / CT–001 | 240 | 12 |
| Travel pouch / TP–002 | 360 | 18 |
| Utility bag / UB–003 | 120 | 6 |
TOTAL 720 units · 36 cartons
↳ Structured line items3 rows
| product_sku | quantity | cartons |
|---|---|---|
| CT–001 | 240 | 12 |
| TP–002 | 360 | 18 |
| UB–003 | 120 | 6 |
✓ Carton totals matchCSV ready ↗
The workflow
Less copying.
More getting things done.
A focused workspace for the documents between your supplier and your warehouse.
Keep a human in the loop.
Review line items, quantities, and carton totals. Resolve missing fields before they reach your receiving team.
Export in your format.
Map supplier fields to the columns your team uses. The goal: a consistent CSV, even when the PDFs look different.
Try it yourself
A little less paperwork.
Take a closer look.
Explore an illustrative packing list and its matching output. No account or document upload needed.
PACKING LIST
NORTHLINE SUPPLY · SAMPLE DOCUMENT
01 SEP 2026
| Description / SKU | Qty | Cartons |
|---|---|---|
| Canvas tote / CT–001 | 240 | 12 |
| Travel pouch / TP–002 | 360 | 18 |
| Utility bag / UB–003 | 120 | 6 |
TOTAL 720 units · 36 cartons
Extracted shipment data3 line items
Document number
PL–00482
Purchase order
PO–2026–184
Consignee
Harbour Goods
Total cartons
36 Matches rows
| SKU | Quantity | Cartons |
|---|---|---|
| CT–001 | 240 | 12 |
| TP–002 | 360 | 18 |
| UB–003 | 120 | 6 |
! Gross weight missing. Confirm with your supplier.
Have a packing list of your own?
Uploads and extraction will be available at launch.
This is a static product preview. The sample uses fictional shipment data; it does not run AI or accept files.
Built around your receiving workflow
Different suppliers.
The same clean columns.
Your warehouse should not need a new spreadsheet for every supplier. CartonField is being designed around reusable field mappings, with the original document always in view.
- Shipment references and purchase order numbers
- Product codes, quantities, and carton counts
- Missing-value and total checks before export
Item code→product_sku
No. of pieces→quantity
CTNS→carton_count
G.W. (KGS)→gross_weight_kg
Illustrative mapping · Confirm units before export
A clearer handoff
For the teams
keeping freight moving.
One practical use case: shipment data your next process can actually use.
Prepare for arrival.
Organise supplier line items into a consistent receiving sheet before the shipment reaches your warehouse.
Keep the file together.
Review shipment references and packing details without switching between a PDF and a blank spreadsheet.
Standardise the handoff.
Use a repeatable column structure for the data that arrives from different clients and suppliers.
Less retyping. More moving.
Give your next shipment
a clearer paper trail.
Explore a better document workflow for your operations team.
A few useful answers
Before you
send it downstream.
What does CartonField do?
CartonField is a product in development for extracting packing-list details into structured tables. The planned workflow combines AI extraction, human review, and CSV field mapping.
Can I process a document today?
Not yet. This site demonstrates the intended workflow with fictional sample data. Uploads, accounts, exports, and payments are not active.
Will it replace our warehouse system?
The focus is the document-to-data step. The planned CSV export would support your existing import process; direct warehouse integrations are not available.
Can I use the output without reviewing it?
Always check source documents, quantities, units, and references before using extracted data in operational or customs processes. AI can misread a document or miss context.
How will pricing work?
The proposed plans combine monthly document allowances with one-time credit packs. Visit the pricing page for indicative USD pricing. No purchases are currently available.