Turn e-commerce documents into structured data.
DocLD helps retailers, marketplaces, and operations teams process high-volume, multi-format documents where precision matters. Parse product catalogs, invoices, POs, returns, and shipping docs with one API — layout-aware extraction, OCR for scans, and citation-ready chunks for RAG and compliance.
Product catalogs and spec sheets
PDF and image catalogs, spec sheets, and SKU tables mix text with tables and images.
Product catalogs, spec sheets, and SKU tables combine dense text with tables, images, and varying layouts. DocLD parses PDFs and images with layout-aware extraction and optional agentic OCR, so you get text and table structure — including from multi-column catalogs and embedded tables — in a single API call.
Parse returns chunks with page and bounding-box context, so you can build RAG and extraction pipelines that cite back to the exact product or spec for search and PIM sync.
Invoices, POs, and B2B documents
Invoices, purchase orders, and packing slips in PDF, Excel, and scans.
Invoices, purchase orders, and packing slips arrive in PDF, Excel, and scanned formats with line items, totals, and vendor details. DocLD supports PDF, images, and spreadsheets with structured extraction so you get clean table data for ERP, reconciliation, and accounts payable.
Use the Extract API with schemas to pull PO numbers, line items, totals, and dates with citations back to the source for audit trails.
Returns, shipping, and customs
RMA forms, shipping labels, and customs documents in mixed formats.
RMA forms, shipping labels, and customs documents often arrive as PDFs or scans, sometimes with handwritten fields. DocLD uses VLM-based OCR with 50+ languages and table extraction so you can ingest mixed-format documents through one API and push structured data into returns, fulfillment, and customs systems.
Run parsing and extraction via API in your own environment, with configurable presets and webhooks for high-volume intake.
Reviews, feedback, and compliance
Policy PDFs, review text, and regulatory docs need traceable outputs.
Return policies, terms of service, and regulatory documentation require linking every output back to its source for customer support and compliance. DocLD Parse returns chunks with page ranges and optional bounding boxes; Extract can pull structured fields with citations. Build RAG and agent flows that show where each answer came from for help centers and audit trails.
Use the same API for PDFs, images, and Office documents — no format-specific integrations required.
High volume and batch
Large catalogs and batch document intake for PIM and operations.
Product catalogs and supplier document sets can run to hundreds of pages or thousands of files, with data that must be preserved and retrievable. DocLD supports files up to 100MB with semantic, fixed-size, or page-based chunking so you can tune for RAG quality and context windows.
Use the async Parse endpoint and webhooks for large documents and batch jobs — no need to block on synchronous responses when processing catalog updates or migration batches.
How teams use DocLD in e-commerce
| Use case | Description |
|---|---|
| Catalog ingestion and PIM sync | Parse product catalogs, spec sheets, and SKU tables for search and product information management. |
| Invoice and PO extraction | Extract line items, totals, and vendor details from invoices and purchase orders for ERP and reconciliation. |
| Returns and RMAs | Parse RMA forms and return documentation; push structured data into returns and fulfillment systems. |
| Shipping and customs | Ingest shipping labels, customs docs, and packing slips with OCR and table extraction for logistics. |
| Product knowledge and RAG | Turn unstructured catalogs and policies into a searchable knowledge base with citation-backed answers for support and search. |
| Compliance and policies | Extract and structure return policies, terms of service, and regulatory docs with source citations for audit. |
E-commerce: Questions & Answers
Ready to process e-commerce documents?
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