Benefits
Close the cash flow loop faster by matching signed PODs to carrier invoices before payment is released.
Resolve delivery disputes in seconds instead of days with searchable digital records of every delivery confirmation.
Remove manual data entry from the receiving dock and accounts payable desk, freeing staff for higher-value exception handling.
Carrier onboarding becomes a non-event: the engine reads any POD layout without templates or per-carrier configuration.
How it works
- Step 1
Upload
Send the document to the API as a file or a URL no special formatting required.
- Step 2
The engine reads the document
The engine analyzes the page layout and identifies the content that matters. The extraction engine reads the signed delivery receipt area of a POD document, identifying and structuring recipient name, signature confirmation, delivery date and time, delivery location, shipment ID, and any exception or damage notes written on the document.
- Step 3
Structured JSON is returned
Every extracted element comes back as structured JSON, positioned and typed, ready to feed into downstream systems.
- Step 4
Confidence-based review
Each field carries a confidence score, so low-confidence results can be routed for human review instead of trusted blindly.
Extractable fields
Features
Extracts recipient name, signature presence, delivery date and time, location, shipment ID, and custom fields defined by your business rules.
Reads from PDFs, scanned images, and phone photos, including low-quality, angled, or partially shadowed captures common in last-mile delivery.
Returns structured data as JSON, CSV, or Excel, ready for ERP, billing, or order management workflows.
No template training required: the AI adapts to any carrier layout, branded delivery receipt, or ePOD portal export.
Supports both printed text and handwritten signatures and notes typical of paper PODs.
Use cases
Freight Invoice Matching in Accounts Payable
A carrier invoice arrives with a list of line items and charges. AP teams need a signed POD to confirm each shipment delivered before processing payment. ByteIt extracts the delivery date, recipient, and shipment ID from every POD and makes that data available to match against invoice lines, flagging unmatched or unsigned deliveries for review before payment is released.
Last-Mile Delivery Performance Analytics
Logistics operations managers track on-time delivery rates across carriers, routes, and depots. With POD data extracted in real time, delivery timestamps and locations feed into dashboards that show which carriers consistently meet delivery windows and which routes generate the most exceptions, enabling data-driven carrier performance reviews.
Customer Delivery Dispute Resolution
A customer claims a shipment arrived damaged or was left at the wrong address. Customer service teams pull up the POD by shipment ID, see the signed recipient name, delivery location notes, and any exception comments written at the door. The structured record resolves the dispute in minutes instead of days spent searching paper files or email attachments.
Automated POD-to-ERP Integration
POD extraction feeds directly into your warehouse management or ERP system through workflow automation tools like n8n, Zapier, or Make. When a driver uploads a signed POD photo, the extracted data triggers a delivery confirmation update in your order management system, closes the shipment record, and automatically alerts the billing team that the invoice can be released.
LIVE DEMO
Try POD extraction yourself
Upload a signed delivery receipt, carrier PDF, or driver photo in PDF, JPG, or PNG format and see the data extracted into structured JSON in seconds.
Select a document and press Parse
Want to run it on your own documents?
Ready to automate proof of delivery processing? Start with free credits and build your first integration.Business advantages
- No per-carrier templates or training required
- Handles phone photos, scans, and ePOD PDFs equally
- Structured data ready for ERP, billing, and analytics
- Free credits to start, no contract needed
Frequently asked questions
What formats does the POD extraction engine support?
ByteIt accepts PDF, JPG, PNG, and TIFF files. This covers carrier PDFs exported from ePOD portals, scanned paper delivery receipts, and driver phone photos taken at the point of delivery. No file conversion or pre-processing is needed before upload.
How accurate is extraction on handwritten signatures and notes?
The engine handles handwritten signatures and free-text comments commonly written on paper PODs, such as 'left with neighbour' or 'damaged box noted'. Accuracy depends on image quality, clear, well-lit photos produce the best results. For poor-quality captures, the extracted data is returned with the raw text so your team can review exceptions without manually re-entering routine fields.
Can I extract custom fields beyond the standard POD fields?
Yes. Beyond the core fields (recipient name, signature presence, delivery date and time, location, shipment ID), you can define additional fields for your specific workflow, such as driver ID, vehicle plate number, package count, or customer reference number. The engine adapts to any field present on your PODs without template configuration.
How do I integrate POD extraction into my existing logistics systems?
ByteIt provides a REST API and a Python SDK for direct integration. You can also connect extracted data to your ERP, warehouse management system, or billing platform using workflow automation tools such as n8n, Zapier, or Make. The API returns structured JSON that maps directly to your order and shipment records.
Can the engine handle multi-page POD documents?
Yes. Multi-page PODs, such as a bill of lading with a signed delivery receipt attached, are processed in full. The engine reads each page and consolidates the extracted fields into a single structured output. Page-level metadata is preserved so you can reference the source page for any extracted value.
What does ByteIt's pricing look like for POD processing?
ByteIt offers a free Build plan with 1,000 credits per month, a Scale plan at €260 per month for 25,000 credits, and custom Enterprise plans for higher volumes. Each credit corresponds to a document page processed. There is no per-carrier setup fee or template licensing cost, you only pay for the documents you process.
How is POD data kept secure and compliant?
ByteIt is SOC 2 certified and GDPR compliant. Data is encrypted in transit and at rest. Enterprise customers can opt for zero-data-retention policies and VPC or on-premise deployment. POD images and extracted data are stored only for the retention window defined in your plan.
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