What the data for this category looks like
The data for footwear financing daily reports primarily comes from dealer financing ledgers of footwear brands, upstream raw material procurement financing transaction records, and credit approval receipts from cooperating financial institutions. Updates are made daily. Each single document covers financing transactions within the 24 hours of the current day. Most documents are in Word or Excel format, containing structured tables, scanned contract documents, and photos of footwear styles. Core fields include SKU number, footwear category, financing amount (unit: ten thousand yuan), repayment cycle, full name of credit granting institution. Some documents also include approval comments and handwritten notes.
What constraints do these characteristics impose on the "document parsing and chunking" link
The mixed structure of multiple tables and images in footwear financing daily reports requires the parsing process to first identify the row and column correspondence of tables, and avoid splitting cross-page tables into scattered fragments. The fixed formats of structured fields such as SKU numbers and footwear names require chunking to aggregate according to field logic, and avoid random cutting based on character length. The embedding of handwritten comments and scanned contract documents requires the parsing tool to retain the original typesetting hierarchy, and avoid losing financing details associated with comments. The high-frequency daily update feature requires the parsing process to set a reasonable timeout threshold to adapt to the conventional processing time of a single document.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
parse_table_enable | Enabled | The documents include structured tables such as dealer financing ledgers and procurement transaction records, and the row and column correspondence must be retained |
parse_image_ocr_enable | Enabled | The documents include photos of footwear styles and scanned contract documents, and text information embedded in images must be extracted |
chunk_max_size | 800–1000 characters | Footwear financing daily reports have dense fields. Excessively long chunks will split associated financing details, while excessively short chunks will increase retrieval redundancy |
chunk_overlap | 50–80 characters | Associated context such as repayment cycle and credit granting institution across fields must be retained to avoid information breakage after chunking |
parse_references_enable | Enabled | The documents include reference file links for credit approvals, and associated supplementary content must be extracted |
parse_timeout | 120 seconds | Parsing a single document with multiple images and tables takes a long time, and intermediate timeout errors must be avoided |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Table content is identified as empty in imported Word documents, or SKU numbers embedded in images cannot be extracted. Cause: The
parse_table_enableandparse_image_ocr_enableconfigurations are not enabled, or the OCR resolution parameter does not match the display size of text embedded in images. - Phenomenon: The
referencesfield in the parsing result is empty, and associated file information attached to the document cannot be extracted. Cause: Theparse_references_enableconfiguration is not enabled, or the document does not include reference link fields in standard format. - Phenomenon: The total number of chunking results exceeds expectations, or long documents are split into too many scattered fragments. Cause: The
chunk_max_sizeandchunk_overlapparameters are not adjusted, and the default values do not match the dense field characteristics of footwear financing daily reports.
How to confirm the configuration is correctly set
- Upload a single footwear financing daily report document that includes tables and images, and check whether the tables in the parsing result retain complete row and column structures, and whether text embedded in images is correctly extracted.
- Check whether the
referencesfield in the parsing result includes associated file links in the document, to confirm that the configuration is effective. - View the total number of chunking results and the length of each chunk, compare with the adjusted
chunk_max_sizeparameter, and confirm that the chunking logic meets expectations. - Upload 3 to 5 documents of the same type, and test whether the parsing time is lower than the threshold set by
parse_timeoutto avoid triggering timeout errors.
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.