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DBF to Excel

Convert DBF database files to Excel workbooks, preserving tables, fields, and memo data for reliable data migration and archival workflows.

DBF to Excel conversion iconAbstract icon showing a DBF database symbol on the left, a conversion arrow, and an Excel sheet on the right.

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About This Tool

DBF to Excel Converter is a file-based data migration tool designed to convert legacy DBF databases into modern Excel workbooks. It supports common DBF variants (dBase III/IV and FoxPro) and can produce a separate Excel sheet for each table in an input archive. Optional memo field preservation and encoding handling help keep legacy data intact during modernization. The tool operates as a backend processor that can run in batch mode, enabling scheduled migrations of multiple DBF files into organized XLSX workbooks.

Core concept: read the DBF header to determine field definitions, names and types; map fields to Excel columns with attention to length and precision; convert dates to Excel serial numbers using the 1900 date system; cast numeric values to appropriate Excel numbers and preserve decimals; if memo data exists and the option is enabled, retrieve memo text from the associated memo file. It detects common encodings or uses a provided one, and writes results to an XLSX workbook with one sheet per table and deterministic sheet naming.

Who benefits: data engineers migrating databases, analysts performing data warehousing, and archivists preserving historical records. Unique value: explicit support for legacy DBF variants, faithful type and memo preservation, and batch-friendly processing. Typical use cases include migrating customer rosters, inventory catalogs, or transaction logs. Edge-case handling: missing memo files, field name truncation to DBF limits, or unusual encodings are reported non-destructively; the tool defaults to blanks for missing values and continues processing.

How to Use

1. Provide inputs: select the DBF file or archive to convert.
2. Configure options: choose DBF version, encoding, include_memo, and sheet naming preferences.
3. Run conversion: start the backend process to read, map, and write data.
4. Retrieve output: download the resulting XLSX workbook and per-sheet summaries.
5. Validate outputs: compare row counts and spot-check sample records for accuracy.

FAQs/Additional Resources

Find Quick Answers

Which DBF variants are supported?

Can memo fields be preserved?

How are dates handled in Excel?

Can I process multiple DBF files in one go?

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