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Text Cleaner

Last updated: April 2026

Clean TXT, MD, and log files by trimming lines, removing duplicates, collapsing blank lines, and sorting content before you reuse the text again.

Tip: This is ideal for note files, prompt prep, lists, exports, and messy logs.
1

Upload a text file

Drop your TXT, MD, or LOG file here or click to browse
Maximum file size: 25MB
No file selected
2

Choose cleanup settings

3

Clean

Please upload a text file first.

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CSV Cleaner Clean CSV, TSV, and delimited files by trimming whitespace, removing duplicate rows, and fixing delimiters before you export a cleaner sheet or import file. Bulk Rename Files Batch rename files or images with numbering, find and replace, date patterns, and cleaner filenames when you need a faster way to organize uploads. Extract PDF to Clean Text Extract clean text or markdown from PDF files for AI prompts, notes, summaries, and reuse when you need readable copy instead of page layout.

Text files from log exports, copied web content, AI outputs, and data pipeline results often contain structural noise that makes them hard to work with: trailing spaces on every line, multiple consecutive blank lines, duplicate entries, and inconsistent line endings. This tool applies the most common cleanup operations in a single step.

Trimming whitespace removes leading and trailing spaces from every line - the most common issue in text exported from spreadsheets, copied from PDFs, or generated by scripts. Collapsing blank lines reduces consecutive empty lines to a single blank line, making long text documents significantly cleaner to read. Removing duplicate lines eliminates repeated entries - useful for cleaning email lists, keyword files, log extracts, and any text source where the same line may appear more than once.

Sorting alphabetically is useful for keyword lists, reference lists, email address files, and any text where alphabetical order makes the content easier to scan and use. Sorting combined with deduplication produces a clean, unique, ordered list in two steps.

The tool accepts TXT, MD, and log files up to 25MB. Output downloads as a cleaned TXT file.

What to Expect

Trim, deduplicate, sort, and normalize plain text files so copied content, logs, keyword lists, and exports are easier to work with.

Browse Data Cleanup Tools

Best for

  • Removing duplicates from email address or keyword lists.
  • Cleaning up AI-generated text files with excess blank lines.
  • Trimming whitespace from exported data before importing.
  • Sorting and deduplicating reference lists or word lists.
  • Cleaning log file extracts before analysis.

Not ideal for

  • Deep ETL pipelines, database joins, or schema-heavy data engineering jobs.
  • Nested source files that need custom mapping or transformation logic.
  • Highly sensitive data that should stay inside internal enterprise systems only.

What this tool keeps

  • Useful rows, fields, and visible text needed for reporting or imports.
  • Common delimited or structured formats that open in spreadsheets and editors.
  • Simple settings that focus on cleanup rather than heavy transformation.

What may need cleanup

  • Nested records may still need column renaming or spreadsheet cleanup afterward.
  • Source files with inconsistent structure can create sparse columns.
  • Delimiter and encoding issues may need one extra check before import.

Common errors

  • Uploading the wrong delimiter type or an unsupported source file.
  • Expecting deeply nested data to map perfectly without cleanup.
  • Using malformed XML or JSON that needs validation first.

Example use cases

  • Preparing exports for finance, ops, stock lists, or admin reporting.
  • Cleaning text files before summaries or spreadsheet imports.
  • Flattening XML feeds into rows that are easier to work with.

Sample input

A CSV export, XML feed, JSON file, log file, or messy text list.

Sample output

Cleaner rows, flatter columns, or a simpler spreadsheet-friendly export.

Who this is for

  • Admins, analysts, ecommerce teams, support teams, and spreadsheet-heavy roles.

Related guides

Text Cleaner FAQ and Quick Checklist

Frequently Asked Questions

What does the Text Cleaner do?

It can trim each line, collapse repeated blank lines, remove duplicate lines, and optionally sort the final result.

Which file types can I clean?

You can upload TXT, MD, Markdown, and LOG style text files up to the document size limit.

Will the tool keep my line order?

Yes, unless you turn on Sort lines. Duplicate removal keeps the first cleaned occurrence and preserves the remaining order.

Should I trim lines before removing duplicates?

Usually yes. Trimming first helps lines that only differ because of extra spaces count as duplicates.

Can I use this for prompt prep, exports, or logs?

Yes. It is useful for cleaning note lists, AI prompt inputs, copied exports, and messy log snippets.

Are cleaned text files stored after processing?

No. Files are processed temporarily to generate your output, then deleted automatically. Tiny File Tools does not require signup for these tools.