Your CSV Toolkit

Reimagined

Fix the mess when your CSV export breaks. Convert between broken Excel files (XLS, XLSX), malformed JSON, corrupted CSV, and busted TSV formats because nothing ever works the first time. Handle the encoding disasters and delimiter chaos that plague every data export.

Stop Excel from destroying your CSV files. Convert broken CSV to XLSX while fixing the encoding disasters, formatting nightmares, and data type failures that make Excel unusable. Because opening CSV in Excel always breaks everything.

Free your data trapped in PDF hell. Extract tables from locked PDF documents because someone thought PDFs were a good format for data sharing.

Convert flat CSV rows into JSON when your API demands it but your data is a mess.

Convert Tab-Separated nightmares to Comma-Separated disasters when systems can't agree on delimiters. Fix broken TSV files that fail to import anywhere because tabs are invisible and break everything.

Convert comma disasters to tab disasters when systems demand the wrong delimiter. Export data to systems that inexplicably require tabs, handle scientific data that breaks with commas, or deal with bioinformatics tools that hate CSV.

Convert Excel Macro-Enabled Workbook (XLSM) files to CSV format. Extract data from XLSM spreadsheets while preserving data integrity. Perfect for processing macro-enabled Excel files, automating data pipelines, and converting complex workbooks to simple CSV format.

Convert CSV files to Excel Macro-Enabled Workbook (XLSM) format. Create XLSM files from CSV data for use with VBA macros and automated Excel workflows. Secure, fast, and browser-based conversion without uploading to external servers.

Emergency surgery for CSV files that are completely broken with mangled encoding and catastrophic structural failure.

Quick fix for the usual CSV disasters with one painful click.

Remove invisible zero-width garbage and non-breaking spaces that silently destroy your code and break everything.

Combine dozens of inconsistent CSV files because someone split your data into a nightmare of incompatible pieces.

Query your broken CSV like a database because Excel filters are useless for real work.

Remove whitespace disasters, empty row nightmares, and duplicate hell.

Fix missing values that break imports using interpolation because null values destroy everything.

Bulk rename headers with spaces and special characters to snake_case because databases hate human-readable names.

Remove duplicates that break everything based on specific columns because your data is full of redundant garbage.

Find and merge nearly-identical records that differ by typos (e.g. "Jon Doe" vs "John Doe") because data entry is always inconsistent.

Audit your broken dataset to see how many nulls, errors, and type mismatches are destroying your analysis.

Standardize date chaos into ISO-8601 because dates are always in 47 different formats.

Filter and export only unique values from a list full of duplicates.

Create bar, line, and scatter charts from your broken CSV data because visualizing disasters is still useful.

Extract embedded charts from Excel files and recreate them as interactive visualizations.

Summarize broken data like in Excel but without Excel crashing every 5 minutes.

Calculate Mean, Median, Mode, and Standard Deviation on your disaster data.

Generate a full report showing how broken your data quality is with one painful click.

Group broken rows by category and calculate sums or averages when nothing adds up correctly.

Run SQL queries directly on your broken CSV files because flat files suck for analysis.

Find relationships between variables using Pearson Correlation even when your data is a mess.

Count frequency of unique values in a broken column.

Find differences (added/removed rows) between two CSV disasters because versions never match.

Try to infer data types and structure for SQL CREATE TABLE when everything is stored as text.

Analyze word frequency and text length in your broken text columns.

Force broken columns to Numbers, Dates, or Text because type detection always fails.

Compress bloated CSV and XLSX files because they're always too large to email.

Apply broken math formulas (A + B) to create new columns that might work.

Attempt SQL-style joins or VLOOKUP between two incompatible files when keys never match.

Join broken tables even when spelling never matches because data entry is always inconsistent.

Smooth out volatile data using rolling windows.

Scrape email addresses from text files or broken CSV columns.

Transform painful wide data (months as columns) into long format because Excel reports are always wrong.

Extract Day, Month, Year, and Weekday from broken dates that should have been separate columns.

Count words, characters, and extract patterns from messy text columns.

Use painful Regular Expressions to extract complex patterns because nothing is ever simple.

Rename or group inconsistent values (e.g., US vs USA vs U.S.A.) because data is never standardized.

Check if broken data meets specific logical rules (spoiler: it never does).

Ask AI questions about your broken data and hope it understands the chaos.

Transform and edit your CSV using natural language commands. AI converts your instructions into code and applies changes instantly.

Attempt to forecast future disasters using broken historical data.

Automatically group similar broken data points that shouldn't be together.

Model the relationship between two variables that don't actually relate.

Find broken data points that don't fit the pattern using Z-Score because outliers break everything.

Cap, remove, or flag anomalies that destroy your dataset statistics.

Scale broken numbers to 0-1 range or standardize them when nothing is standardized.

Convert categorical text disasters into binary numbers for ML because machines hate text.

Group continuous numbers into arbitrary buckets (e.g. Age groups) because granularity is painful.

Smooth out volatile broken data using rolling windows that don't fix anything.

Fill missing values based on broken group averages because individual values are unknown.

Create "What-if" scenarios by modifying variables that never predict reality.

Generate synthetic fake data samples to expand tiny broken datasets.

Mask PII disasters (names, emails) in your CSV before someone sues you for data leaks.

Complete Shopify toolkit: bulk product editor, multi-store inventory sync, profit calculator, dynamic pricing engine, order anomaly detection, and customer segmentation. Optimize your store operations, prevent overselling, maximize profits, and identify your best customers - all with CSV-based workflows.

Complete marketing agency toolkit: multi-platform campaign aggregation (Google Ads, Facebook, LinkedIn), ROI calculator per client, white-label report generator, keyword gap analysis, competitor ad tracking, and AI-powered budget allocation optimizer. Manage 10-100 clients efficiently with unified analytics.

Complete HR and recruitment toolkit: resume parser with skill scoring, candidate deduplication using fuzzy matching, salary benchmarking against market rates, diversity & inclusion analytics, interview scheduler optimizer, and automated onboarding checklist generator. Streamline hiring from application to onboarding.