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Guide · xlsx → tsv

XLSX Format: Inside Microsoft Excel's Open XML Spreadsheet

✓ ISO/IEC Verified · 7 min · · By Pablo Cirre
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Frequently Asked Questions

Excel stores dates as serial numbers (days since January 0, 1900, with a deliberate leap year bug making 1900 count as a leap year for Lotus 1-2-3 compatibility). The date "January 15, 2024" is stored as 45292. The number 45292 only displays as a date because cell style 14 (or another date format) is applied. When other applications read the raw number without applying the date format from the style index, they show the serial number. The fix: when parsing XLSX, check each cell's style for date formats before displaying values.

Send <strong>PDF</strong> when the document is final and the layout must be preserved exactly (contracts, invoices, certificates). Send <strong>DOCX</strong> when reviewers need to edit, comment, or track changes. Many teams send both: PDF as the canonical version + DOCX for editable feedback. PDF/A is the right pick for legal archival (ISO 19005).

XLSX is the standard Open XML format — a ZIP archive with XML files. XLSB (Excel Binary Workbook) stores the same data in a binary format. XLSB files are typically 50-70% smaller than XLSX and open/save significantly faster for large workbooks. The tradeoff: XLSB is harder to process with third-party libraries, as fewer tools support the binary format. For maximum portability and programmatic access, use XLSX. For large internal Excel workbooks where file size and speed matter, XLSB is the better choice.

Round-tripping between similar formats (DOCX ↔ ODT, DOCX → PDF) is generally safe. Round-tripping with format-specific features (Word macros, complex tables, footnotes) often loses fidelity. Embedded fonts survive only if both source and target support font embedding (PDF yes, DOCX yes, plain HTML no). Always preview the result before deleting the original.

CSV supports only one sheet per file, so you need one CSV per sheet. In Python with pandas: import pandas as pd; xl = pd.ExcelFile("data.xlsx"); [xl.parse(sheet).to_csv(f"{sheet}.csv", index=False) for sheet in xl.sheet_names]. In LibreOffice: libreoffice --headless --convert-to csv data.xlsx converts only the first sheet. For all sheets, use a Python script or the LibreOffice macro interface.

If the PDF contains real text (not scanned images), <code>pdftotext</code> from poppler-utils or <a href="/convert/pdf-to-txt">PDF to TXT</a> works in seconds. If the PDF is a scanned image, you need OCR — Tesseract is the open-source standard. KaijuConverter's PDF tools auto-detect text-vs-image PDFs and route accordingly.

Common causes: (1) Pivot table cache — pivot tables store a full copy of source data internally; click into the pivot table → Analyze → PivotTable → Options → Data → uncheck "Save source data with file." (2) Unused styles — clicking many cells and changing formats accumulates style definitions; Save As a new file to clean them. (3) Conditional formatting covering entire columns (A:A) instead of used ranges. (4) Undo history stored in the file. Saving as a new file typically reduces bloat significantly.

Light edits (annotations, signatures, form fields) are fine in any PDF reader. Structural edits (changing paragraphs, replacing images) are awkward — PDF is a presentation format, not an editing format. The robust workflow is: keep the source DOCX/MD/HTML as the master, regenerate the PDF when changes are needed. Tools that "edit PDFs" reverse-engineer the layout and frequently break it.

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