Extract delivery dates, recipient details, item counts, and signature confirmations from delivery notes and POD documents—any carrier or format.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
“We make 400 deliveries per day. Processing delivery notes used to take a team of three people a full day. Now the drivers photograph the notes and data is in our system within minutes.”
“Delivery disputes used to take days to resolve because we had to find the paper POD. With digitized records, we pull up the delivery confirmation in seconds.”
“On-time delivery tracking was impossible when delivery data sat in paper form for days. Real-time OCR processing gave us the carrier performance visibility we needed.”
Delivery notes and proof of delivery documents are the final link in the logistics chain. They confirm what was delivered, when, where, and to whom. For businesses managing hundreds or thousands of deliveries per day—distributors, e-commerce fulfillment operations, food service companies, and field service organizations—processing delivery notes manually creates a documentation backlog that delays invoicing, complicates dispute resolution, and limits visibility into delivery performance.
The format challenges with delivery notes are compounded by the fact that many are still paper-based. Drivers carry pre-printed delivery notes that are signed by the recipient and returned to the depot. These documents may be crumpled, stained, partially illegible, or photocopied multiple times. AI-powered delivery note OCR handles these real-world document conditions by using vision models that read content even when image quality is degraded, with confidence scoring that flags uncertain fields for verification.
Delivery note data feeds directly into several critical business processes. Invoicing depends on confirmed delivery records. Dispute resolution requires delivery timestamps and recipient signatures. Carrier performance measurement needs delivery date data to calculate on-time delivery rates. Lido extracts all of this information from delivery notes into structured data, enabling automated workflows that would otherwise depend on manual document review.
Distribution and logistics teams evaluating delivery note OCR should prioritize accuracy on date and time fields, support for poor-quality scans and photographs, batch processing for daily delivery volumes, and integration with order management and invoicing systems. Lido provides all of these with SOC 2 Type 2 compliance and output in Excel, CSV, or JSON.
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Delivery note OCR automates the extraction of data from delivery notes and proof of delivery documents. The AI reads delivery dates, recipient names, addresses, item details, quantities, and signature confirmations, converting paper or PDF documents into structured digital data.
Yes. The AI vision models are designed to handle real-world document conditions including creased paper, partial smudging, low-resolution photographs, and faded photocopies. Confidence scoring flags fields where accuracy may be reduced, allowing targeted human review.
By digitizing delivery confirmations immediately, delivery note OCR eliminates the documentation lag between confirmed delivery and invoice generation. Structured delivery data feeds directly into invoicing workflows, enabling same-day billing rather than waiting for manual document processing.
The system captures signature presence and recipient name fields from delivery notes. While it does not perform signature authentication, it confirms that a signature field is present and extracts the printed recipient name and any associated timestamp.
Extracted delivery note data exports to Excel, Google Sheets, CSV, and JSON. The REST API enables integration with order management systems, ERP platforms, and carrier management portals for automated proof-of-delivery workflows.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
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