Video tutorial
See the complete upload workflow
Watch the original walkthrough before following the detailed steps.
Watch the step-by-step tutorialYouTube · Opens in a new tabProcess
Analyze a spreadsheet in five steps
- 01
Prepare the file
Place names, email addresses or usernames in a clearly labeled column and keep optional two-letter country codes in a separate column.
- 02
Choose the analysis method
Open the Excel/CSV tool, select name, email or username analysis and choose an API key.
- 03
Upload and map columns
Select the file and worksheet, then map the input column and optional country column.
- 04
Run the analysis
Start processing and monitor the job until the enriched file is ready.
- 05
Review and export
Review gender, probability, country and matched-name fields, then export the result.
File compatibility
Supported upload formats
The current upload interface accepts the formats below. Save legacy spreadsheets as a supported modern format before uploading.
.csv.xlsx, .xlsm.numbers.ods.tsv.txtOutput review
Filter and review enriched rows
Review the predicted gender together with probability, country and matched-name information. Use confidence thresholds to route uncertain rows for review.
File privacy
Delete the uploaded file after exporting your results
The published policy schedules uploaded Excel and CSV files for removal from active systems within five days. You can request earlier active-workspace removal after exporting the enriched result. Rolling backups may persist for up to 30 additional days, and deletion operations require verification.
Planning large jobs
Measure performance with your own representative file
A newer test processed 10,000 rows in about 20 seconds without AI fallback; the earlier roughly 39-second result is obsolete. Treat the newer result as an example, not a guarantee: file structure, processing method, credits, network conditions and service load can change completion time. AI-assisted queries take longer than database-backed processing, so benchmark the exact options used by your production workflow.
Frequently asked questions
Excel and CSV gender analysis FAQ
What file formats are supported?
The current upload interface lists CSV, XLSX, XLSM, Apple Numbers, ODS, TSV and TXT files.
How do I start a file analysis?
Sign in, open the Excel/CSV tool, choose the method and API key, upload the file, map the input column and start processing.
Can I add country context?
Yes. Map a column containing two-letter country codes or apply an available country option to improve regional context.
How fast are large file jobs?
Processing time depends on row count, file structure, selected method, available credits and current service load. Test a representative file before planning a large job.
Do I need coding skills?
No. The upload and column-mapping workflow is designed to run from the web interface.
How long is an uploaded file retained?
The published policy schedules uploaded Excel and CSV files for removal from active systems within five days and offers earlier workspace removal after export. Rolling backups may persist for up to 30 additional days; deletion operations require verification.
How should I use the probability score?
Use probability as a confidence signal, define a review threshold for uncertain records and do not treat a prediction as verified identity.