Document Parsing and Chunking for Cosmetics Investment

Data Characteristics of This Category

Cosmetics investment research data comes from official brand filing documents, third-party ingredient test reports, e-commerce platform product detail pages, industry research reports, and regulatory inspection announcements. Data update schedules align with business activities. New product filings update alongside product launches. Regulatory inspection announcements release with regulatory batches. E-commerce detail pages update frequently for promotions or ingredient adjustments. Document types include structured Excel spreadsheets (with ingredient content, sales data), PDF research reports and compliance files. Some compliance files are scanned versions. Fields and units include ingredient content (mg/g, percentage), product price (yuan per item), filing numbers (alphanumeric combinations), and other formatted content.

Constraints on Document Parsing and Chunking

Cosmetics data’s mixed document types and specific field requirements create multiple constraints for the parsing and chunking process. Structured Excel spreadsheets have many related fields. When splitting content, retain row-level links between ingredients and their corresponding values to avoid broken data. Scanned compliance files require accurate OCR recognition. Missing critical information like test values or filing numbers will occur without proper OCR. E-commerce detail pages with text and images need to separate text and original images. Retaining only OCR text will lose visual information such as ingredient comparison charts. Frequently updated batch documents need reasonable file size and timeout settings. This prevents parsing tasks from failing mid-execution.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_OCR_ENABLED`	`true`	The cosmetics industry has a large number of scanned filing and inspection documents. Enabling OCR recognizes text content within scanned files.
`SPLIT_CHUNK_SIZE`	`800-1000 characters`	Cosmetics ingredient descriptions and research reports have lengthy content. This range retains complete information for single ingredient groups or individual chapters.
`SPLIT_OVERLAP_RATE`	`15%`	Ingredient lists and research reports have technical notes that span chunk boundaries. An overlap rate reduces the risk of broken information.
`UPLOAD_EXCEL_PARSE_MODE`	`Parse by row groups`	Cosmetics sales data and ingredient lists use structured row data. Parsing by row groups retains relationships between fields.
`PARSE_FILE_MAX_SIZE`	`500 MB`	Batch-uploaded industry research report collections and e-commerce data documents typically stay within this limit. This avoids parsing timeouts.
`PDF_IMAGE_EXTRACT_MODE`	`Keep original images`	Ingredient comparison charts and product packaging photos on e-commerce detail pages need original images for later validation. This prevents loss of details during OCR.

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Analyze specific cases individually. Test settings against your own samples before finalizing.

Three Common Errors

Issue: Some ingredient fields appear empty after uploading an Excel file. Index results lack corresponding data. Cause: UPLOAD_EXCEL_PARSE_MODE is not set to Parse by row groups. The default cell-by-cell split breaks the link between ingredients and their content.
Issue: Scanned filing PDF files have garbled text after parsing. Test values and filing numbers cannot be recognized. Cause: PARSE_OCR_ENABLED is not enabled, or OCR resolution is set too low. This fails to handle low-resolution text on scanned documents.
Issue: Uploaded image-and-text instruction manuals are fully parsed via OCR. Original images are not retained. Cause: PDF_IMAGE_EXTRACT_MODE is incorrectly set to OCR mode. The original image extraction option was not selected.

How to Verify Correct Configuration

Upload a single scanned filing PDF file. Verify parsed text fully includes test items and values. Confirm PARSE_OCR_ENABLED is correctly enabled.
Upload an Excel file with multiple ingredients. Verify chunked results retain complete information for single ingredients. Confirm SPLIT_CHUNK_SIZE and UPLOAD_EXCEL_PARSE_MODE are configured correctly.
Upload a PDF e-commerce detail page with images and text. Verify parsed results include original image links or embedded images. Confirm PDF_IMAGE_EXTRACT_MODE is set correctly.
Batch upload 10 industry research report documents. Review parsing task completion status. Confirm PARSE_FILE_MAX_SIZE fits the file specifications for batch uploads.

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.