What data for this category looks like
Jewelry marketing documents primarily come from brand product specification manuals, e-commerce platform exported product lists, marketing campaign plans, and supply chain material packages. Update cycles align with new product launches and promotional events: bulk generation during new product launches, concentrated optimization of marketing copy before major promotions, and occasional small-scale SKU updates on a daily basis. Document structures include single-page parameter tables, mixed text-image materials, SKU list spreadsheets, and long-form promotional copy collections. Fields include material, dimensions, weight, color options, campaign themes, applicable scenarios, and selling point copy. Dimension units are mostly millimeters and centimeters, while weight units are grams.
Constraints imposed by these characteristics on document parsing and chunking
The mixed text-image structure of jewelry marketing documents requires the parsing step to retain original images, rather than only extracting OCR text, to avoid losing visual material information from product photos. Multi-sheet Excel SKU lists require parsing to extract each sheet’s name and corresponding content simultaneously, to prevent missing SKU dimension information tied to different sheets. Long-form promotional copy collections have scattered paragraph themes, so the chunking logic must use topic-based grouping, rather than only relying on fixed character length, to ensure complete single selling points. Compactly formatted small parameter tables are prone to parsing misalignment, so the original table structure must be retained, rather than only performing flat conversion.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
extract_original_image | true (mixed text-image documents), false (plain text documents) | Jewelry marketing documents often include product photos. Enabling this setting retains original images and avoids misrepresentation of image content via OCR |
parse_excel_sheet_names | true | Jewelry SKU lists are mostly multi-sheet Excel files. Enabling this setting extracts each sheet’s name to clarify corresponding SKU dimensions |
chunk_mode | topic_based | Long-form promotional copy has scattered themes. Topic-based chunking preserves selling point completeness and meets the segmentation needs of jewelry marketing |
max_chunk_size | 800–1200 characters | Individual selling points in jewelry marketing copy are mostly 500-1000 characters long. This range avoids splitting complete selling points |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | For batch parsing of multiple documents, this duration covers the full parsing process for large Excel files and mixed text-image PDFs |
enable_pdf_enhance | true (scanned PDF files), false (editable PDF files) | Editable PDFs do not require enhancement. Enabling this setting for scanned PDFs optimizes text recognition accuracy |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test with your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: After enabling OCR functionality, the parsing result only includes OCR text, with no original image files. Cause: The
extract_original_imageconfiguration was not set to the correct value for the scenario, causing the parsing step to discard original images and only extract text. - Phenomenon: After parsing a multi-sheet Excel SKU list, the result does not include sheet names, and only the content of all sheets is merged. Cause: The
parse_excel_sheet_namesconfiguration was not enabled, and the default behavior only extracts content from the first sheet. - Phenomenon: When importing a PPT or Word document, enabling
enable_pdf_enhanceresults in no change to the parsing output. Cause: The PDF enhancement function only applies to PDF format documents, and non-PDF documents will not trigger this configuration.
How to confirm correct configuration
- Upload a single mixed text-image PDF containing product photos, check the attachment module of the parsing result, and confirm that the original image files are present.
- Upload an Excel SKU list with 2 or more sheets, check the parsed document structure, and confirm that each sheet’s name is labeled.
- Upload a Word or PPT document, disable
enable_pdf_enhanceand run parsing, confirm that the parsing process completes normally with no errors. - Upload a long-form promotional copy, adjust the
chunk_modeparameter, and check whether the chunked results aggregate content by topic.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.