Image to XLSX
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About this skill
Problem
When table data appears in screenshots, CRM pages, report photos, or customer lists, manual transcription is slow and can turn numbers into text, blocking later SUM, AVG, or conditional checks. Image to XLSX converts structured data from images into a standard .xlsx file that can be opened, filtered, and calculated in Excel.
How it works
- Visual extraction: reads each table image, infers headers, and arranges row data into a JSON structure.
- Type handling: integers and decimals are written as numeric formats, text remains text, and empty values become blank cells.
- File generation:
build_xlsx.pycreates the.xlsxoutput, with support forsheets,columns, andfreeze_header.
Boundaries
It works best with clear, well-structured table screenshots. If the image is blurry, multiple tables are mixed, or headers are ambiguous, human review is needed for column names and row order. The generator relies mainly on Python standard-library file handling, but text encoding still matters across operating systems.
Use Cases
- Convert a CRM screenshot into an .xlsx file with name, phone, and amount columns.
- Extract monthly metrics from a report screenshot so the amount column can be used for SUM or AVG.
- Combine multiple customer-list photos into a multi-sheet .xlsx file for later filtering.
- Recover table structure from a page screenshot into an editable Excel file when the source is missing.
Best For
- Sales or business staff who need to turn customer lists in screenshots into Excel
- Finance or operations staff who need to move report screenshot data into tables for rollups
- Engineers who need to recover table structure from page screenshots when source files are missing
- Data-processing staff who want table images converted into calculable .xlsx files
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