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Clean AI-generated text artifacts
LLMFilter detects and removes Unicode artifacts commonly found in AI-generated text, including smart quotes, invisible characters, and special spaces that can interfere with text processing and reveal AI authorship.
Why it's needed: AI language models often insert typographic characters from their training data, creating text that appears human-written but contains detectable patterns. These artifacts can cause issues in databases, APIs, and text analysis tools.
Comprehensive reference for Unicode artifacts commonly found in AI-generated text
Special space characters that affect text layout and line breaking behavior.
Zero-width and hidden characters that don't display but affect text processing.
Typographic punctuation marks that differ from standard ASCII characters.
Comprehensive analysis of Unicode artifacts commonly found in AI-generated text and methods for detection and removal.
Research into how special characters in LLM training data can be exploited and detected in generated outputs.
Analysis of security implications and detection methods for invisible Unicode characters.
Coverage of Google's research into AI text watermarking and detection methods.
Step-by-step guide to cleaning AI text artifacts
Identify telltale signs of AI-generated content through Unicode artifacts that language models commonly insert.
Remove problematic characters that can interfere with databases, APIs, and text processing systems.
Ensure text works correctly across different systems and platforms by standardizing character encoding.
Create cleaner, more professional text output free from AI generation artifacts.
Copy and paste the text you want to analyze into the input field. This can be AI-generated content or any text you suspect contains Unicode artifacts.
LLMFilter will automatically scan your text and display all detected Unicode artifacts, categorized by type with technical details and occurrence counts.
Choose which artifacts you want to remove by checking or unchecking the boxes next to each detected artifact type. All artifacts are selected by default.
Click "Clean All Artifacts" to process your text. You can then copy the cleaned text to your clipboard or download it as a file.
Clean AI-generated articles, blog posts, and marketing copy before publishing to remove obvious AI signatures.
Sanitize text data before storing in databases to prevent encoding issues and improve search functionality.
Prepare text for API calls and integrations that may not handle special Unicode characters correctly.
Analyze text to identify potential AI authorship based on characteristic Unicode patterns.
Legal terms and conditions for using LLMFilter
By accessing and using LLMFilter, you accept and agree to be bound by the terms and provision of this agreement.
LLMFilter is a web-based tool designed to detect and remove Unicode artifacts commonly found in AI-generated text. The service analyzes text for specific Unicode characters and provides options to clean or standardize the text.
IMPORTANT: LLMFilter makes no guarantee of detecting all AI-generated content or Unicode artifacts. The tool may miss certain tokens, characters, or patterns. Users acknowledge that:
Users are responsible for:
LLMFilter processes text client-side in your browser. No text content is transmitted to external servers or stored permanently. However, users should avoid submitting sensitive information as a general security practice.
LLMFilter and its creators shall not be liable for any direct, indirect, incidental, special, or consequential damages resulting from the use or inability to use this service, including but not limited to reliance on the accuracy or completeness of artifact detection.
We strive to maintain service availability but do not guarantee uninterrupted access. The service may be temporarily unavailable due to maintenance, updates, or technical issues.
These terms may be updated periodically. Continued use of the service constitutes acceptance of any changes to these terms.
For questions about these terms or the service, please use our contact form or reach out through the provided contact methods.
Report missed tokens, suggest improvements, or get help
Include the original text, expected artifacts, and any patterns you've noticed. Sample text helps us improve detection.
Describe the issue, steps to reproduce, and your browser/device information. Screenshots are helpful.
Suggest new features, UI improvements, or additional artifact types we should detect.