Key Facts
- Category
- Text Processing
- Input Types
- textarea, select, text, checkbox
- Output Type
- text
- Sample Coverage
- 4
- API Ready
- Yes
Overview
The Text Word Filter is a powerful utility designed to extract, isolate, and organize specific words from large blocks of text based on custom patterns, regular expressions, or linguistic criteria.
When to Use
- •Extracting specific keywords or data points from unstructured text documents.
- •Cleaning up word lists by removing duplicates or sorting them alphabetically.
- •Analyzing text structure by filtering words based on length, vowel counts, or specific character patterns.
How It Works
- •Paste your source text into the input area and select your preferred filter type, such as 'Contains', 'Regex', or 'Word Length'.
- •Define your matching criteria in the pattern field and toggle settings like 'Case Sensitive' or 'Word Boundary' to refine the results.
- •Choose your desired output format, such as a comma-separated list or a numbered list, to get the final filtered data.
Use Cases
Examples
1. Extracting SEO Keywords
Content Marketer- Background
- I have a 2,000-word blog post and need to extract all unique words longer than 8 characters to identify potential long-tail keywords.
- Problem
- Manually scanning the text is inefficient and prone to human error.
- How to Use
- Paste the article text, select 'Word Length' as the filter type, set the max length, and enable 'Remove Duplicates' and 'Sort Alphabetically'.
- Example Config
-
filterType: length, maxLength: 8, removeDuplicates: true, sortAlphabetically: true, outputFormat: newline - Outcome
- A clean, sorted list of all unique long-tail keywords found in the article, ready for SEO analysis.
2. Regex Data Extraction
Data Analyst- Background
- I have a raw log file containing various product IDs formatted as 'PROD-12345'.
- Problem
- I need to extract only the product IDs while ignoring the surrounding descriptive text.
- How to Use
- Select 'Regular Expression' as the filter type and enter the pattern 'PROD-\d+' to match the specific ID format.
- Example Config
-
filterType: regex, pattern: PROD-\d+, outputFormat: comma - Outcome
- A comma-separated list of all product IDs extracted from the log file.
Try with Samples
video, text, regexRelated Hubs
FAQ
Can I use regular expressions to filter words?
Yes, select the 'Regular Expression' filter type and enter your regex pattern in the pattern field.
Does the tool support case-sensitive filtering?
Yes, you can enable the 'Case Sensitive' checkbox to ensure matches respect character casing.
How do I remove duplicate words from my results?
Simply check the 'Remove Duplicates' option before processing your text.
Can I filter words by their length?
Yes, select the 'Word Length' filter type and specify the maximum length in the configuration settings.
What output formats are available?
You can output results as space-separated, newline-separated, comma-separated, or as a numbered list.