CSV Deduper Normalizer

Clean and normalize JSON/CSV data: trim whitespace, lowercase emails, normalize phone numbers and dates, drop empty values/rows, and deduplicate by a field.

Normalize CSV and JSON rows into stable, typed, automation-ready records.

Data Cleaner — messy CSV/Excel/JSON to clean typed data

amanatools/data-cleaner

Clean, deduplicate, and type-infer CSV, Excel, and JSON files from URLs. Returns a quality report, preview rows, and a download link to the cleaned CSV. Built for AI agents and data pipelines.

Transform csv / json schema normalizer v2 inputs into structured rows, clear errors, confidence signals, and automation-ready output.

Clean, deduplicate, normalize, and score job posting data from multiple sources for job seekers, recruiters, career coaches, and AI job-search agents.

Transform company name normalizer inputs into structured rows, clear errors, confidence signals, and automation-ready output.

JSON Dataset Cleaner and Deduplicator

rodrgds/dataset-cleaner

Clean JSON datasets, remove empty rows, deduplicate by any field, validate emails, and prepare scraper output for CRMs, analysis, or AI workflows.

Data Deduplicator

parsebird/dataset-deduplicator

Merge and deduplicate Apify datasets by any field combination. Remove duplicate rows while keeping the first or last occurrence. Supports case-insensitive matching and whitespace trimming.

Compute a data-quality scorecard for CSV rows: missing required fields, bad emails, bad URLs, duplicate rows, completeness %.

Data Cleaner

parsebird/data-cleaner

Clean messy data — remove nulls, normalize case, trim whitespace, format phone numbers and emails, extract domains, convert types, and more. Works with Apify datasets or direct JSON input.