Cross-review of technical documents for printing and packaging processing: Document parsing and chunking

This category's data comes from customer manuscripts, color management systems, printing press operation data, ink and substrate batch records

What data looks like for this category

This category's data comes from customer manuscripts, color management systems, printing press operation data, ink and substrate batch records, spectrometer and barcode detector output results. Daily documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first article sign-off sheets, barcode inspection reports, die-cutting and lamination process records. Data updates occur per order, per production batch, or each plate change. Document fields include batch numbers, color parameters, die-cutting dimensions, barcode verification values, and more. Formats are flexibly adjusted based on order requirements.

The multi-source heterogeneous document formats and high-frequency update rhythm of this category, combined with the need to simultaneously process content versions, color parameters and packaging structure information, create multiple constraints for document parsing and chunking. Plate-making errors will quickly spread to entire production batches. Non-standard pre-press files, imposition sheets and other documents cannot use general parsing rules to extract complete fields. Document structures vary widely for each plate change or new order, so chunking logic must be flexibly adjusted to retain key parameters. If core fields such as barcode verification values and die-cutting dimensions are truncated, subsequent cross-review will fail. Therefore, chunking must prioritize the integrity of key business fields and avoid splitting core information across multiple chunks.

How to set configurations

The following configurations are formulated based on the functional logic of FastGPT v4.17.0.

Configuration ItemRecommended ApproachBasis for This Setting
customPdfParseEnable custom parsing modeAdapt to non-standard pre-press files, imposition sheets and other non-general PDF formats, and fully extract business fields
chunkSize800–1200 charactersBalance the integrity of core fields and retrieval granularity, avoid truncating key information such as die-cutting dimensions and barcode verification values
chunkSplitterSplit by paragraph + semantic boundaryAdapt to documents with logical paragraphs such as printing process sheets and color matching records, avoid splitting the same process description
UPLOAD_FILE_MAX_SIZE3000 MBCompatibility with large-size pre-press files and batch process records, avoid upload errors
PARSE_FILE_TIMEOUT_SECONDS600 secondsAdapt to parsing time consumption of multi-source data integration, avoid parsing timeout for long documents
chunkSettingModeManual configurationAdjust chunking parameters for document structure differences of each production batch, ensure review accuracy

Three common mistakes

  • Upload errors are triggered when uploading pre-press PDF files larger than 3 MB. Cause: The UPLOAD_FILE_MAX_SIZE parameter is not adjusted, and the default threshold is insufficient to accommodate large-size pre-press files.
  • Retrieved text blocks are not associated with corresponding metadata such as batch numbers and ink parameters. Cause: The custom parsing mode is not enabled to bind metadata fields, and only plain text content is extracted.
  • Imported Excel-format ink color matching records cannot be parsed. Cause: The default parsing rule only supports general document formats, and parsing adaptation for non-PDF formats is not configured.

How to confirm configurations are set correctly

  • Upload a single pre-press PDF file not exceeding 3000 MB, confirm that the parsing status shows completed and no error prompts are displayed.
  • Retrieve documents with a specific batch number, confirm that the returned text blocks are accompanied by associated metadata such as corresponding batch numbers and color parameters.
  • After adjusting the chunking parameters, check whether the chunking results do not truncate core business fields such as die-cutting dimensions and barcode verification values.
  • Import Excel-format ink color matching records, confirm that structured text blocks can be normally generated after parsing.

The values provided are common starting points and should be measured against the reader's own samples.