What the data for this category looks like
Data sources for steel trade intelligent due diligence reports include trade merchants' inventory, sales and purchase ledgers, steel mill delivery orders, customs declarations, bank credit documents, and industry supply and demand briefings. Update frequency adjusts per individual transaction or periodic reports. Individual transaction documents are updated in real time upon transaction completion. Periodic due diligence reports are updated monthly or quarterly. Document structures include modules such as contract number, buyer and seller information, steel transaction details, settlement terms, and logistics information, with multiple qualification attachments attached. Fields include exclusive business fields such as steel grade, transaction quantity, contract amount, and customs declaration number. Units for steel specifications and quantity are mostly tons, meters, or square meters.
What constraints do these characteristics impose on the "document parsing and chunking" link
Steel trade due diligence reports contain both structured transaction tables and unstructured qualification text. Parsing requires accurate distinction between the two types of content to avoid confusing business fields in tables with attachment text. Documents contain industry-specific terminology and fixed units. Chunking must retain contextual associations between fields and units to avoid splitting that destroys data integrity. Some reports include multiple independent document attachments. Chunking must cut along attachment boundaries to prevent splicing content across attachments. PDF documents with digital signatures require skipping signature areas to extract valid content. Failure to do so will result in missing parsed content.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
parse_mode | structured + unstructured hybrid mode | Adapts to the mixed content structure of steel trade due diligence reports, which contain both structured transaction tables and unstructured qualification documents |
chunk_size | 800–1200 characters | Covers the length of a single transaction detail and complete contract terms, avoiding splitting that disrupts the association between industry terminology and business fields |
chunk_overlap | 100–150 characters | Retains contextual continuity across chunks, such as the association between contract settlement terms and corresponding transaction details |
enable_table_extraction | Enabled | Accurately extracts exclusive fields such as steel grade, transaction quantity, and unit price from tables, preventing table content from being misidentified as ordinary paragraph text |
parse_timeout | 600 seconds | Adapts to parsing time requirements when uploading multiple trade documents in batches, preventing parsing failures due to timeout |
skip_digital_signature_area | Enabled | Skips areas with digital signatures in PDFs to extract valid business content, resolving issues where signed PDFs cannot recognize content |
The parameter values provided on this page are common recommended starting points 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: An error indicating file read failure is returned when calling the Doc2x tool, and the error message includes a format restriction prompt starting with
Only support .txt, .m. Cause: The uploaded document format is not supported, such as not being converted to standard PDF or DOCX format, or the file extension has been tampered with. - Phenomenon: After uploading a PDF document with a digital signature, the parsing result is empty or fails to extract business content. Cause: The
skip_digital_signature_areaconfiguration is not enabled, so the parsing engine cannot skip the signature area to extract valid text. - Phenomenon: In the parsed chunking results, table content is split into scattered text paragraphs. Cause: The
enable_table_extractionconfiguration is not enabled, causing structured tables to be misidentified as ordinary paragraph text.
How to confirm the configuration is correct
- Upload a standard steel trade due diligence report PDF, and check whether tables in the parsing result are fully extracted as structured data.
- Check the chunked text fragments to confirm that industry-specific terminology and transaction fields are not split and disrupted, and contextual continuity is maintained.
- Upload a PDF document with a digital signature, and verify that the parsing result contains valid business content without interference from signature areas.
- Call the API to test the document parsing interface, and confirm that the returned chunked data format meets expectations, with no timeout or format error prompts.
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.