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MIT
699,244 tools. Updated 2026-10-24 17:58
"AI Generated Text Detection Tools" matching MCP tools:
- Retrieve AI-generated answers by searching your namespace of text documents or using direct AI model calls for question answering.Apache 2.0
- Rewrite AI-generated text to sound naturally human, varying sentence rhythm, structure, and word choice while preserving meaning.MIT
- Convert text to a spoken MP3 voiceover using AI text-to-speech. Choose provider, voice, and speed; get the generated audio file path.MIT
- Retrieve AI-generated insights including topics, sentiment, summary, and action items for any text note.MIT
- Analyze plain text to detect AI-generated content. Optionally enable deeper analysis or keep results private.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables multi-tier AI-detection screening on academic papers by extracting text from .tex and .docx files, splitting into standard sections, and running a pipeline of statistical and LLM-based analysis.MIT
- AlicenseNot gradedqualityCmaintenanceai-detect is a free AI text detector that runs entirely on your own hardware. It scores writing sentence by sentence using desklib/ai-text-detector-v1.01, a 304-million-parameter DeBERTa-v3-large model that ranks first on the RAID detection benchmark. No API key, no per-word pricing and no upload: after a one-off 1.7 GB model download it just works offline. by Houtini10MIT
Matching MCP Connectors
Exact character/word counting, reversal, palindrome checks, indexing, sorting; Unicode-safe.
Paste a draft and see the habits that make writing read like it came from an AI model.
- Adds metadata watermarks to AI-generated text to comply with EU AI Act Article 50(2), marking content as artificially generated.Apache 2.0
- Generate compliance-ready disclosure labels for AI-generated or manipulated audio, including written and spoken text and placement guidance per EU AI Act Article 50(4).Apache 2.0
- Rewrite AI-generated text into natural, human-authored prose. Adjust style and intensity to match your voice or bypass AI detectors.MIT
- Rewrite AI-generated text to sound human and reduce AI detection risk. Returns a mechanical rewrite along with instructions for final polishing.MIT
- Compare detection metrics between original AI-generated text and its humanized version to verify improvement in burstiness, vocabulary tells, structure, and risk scores.MIT
- Search Google AI Mode to get AI-generated summaries with citations, handling CAPTCHA detection and returning markdown results.MIT
- Analyze text for AI detection and plagiarism scores, then rewrite content to meet specified thresholds for humanized output.MIT
- Detect AI-generated content using Originality.ai to verify originality before publishing. Provides overall AI percentage and sentence-by-sentence breakdown with confidence scores.AGPL 3.0
- Add AI-generated content disclosure labels to news articles and public interest text, satisfying EU AI Act Article 50(4) compliance.Apache 2.0
- Generate deepfake labels for AI-generated or manipulated videos, providing the required disclosure text and placement guidance per EU AI Act Article 50(4).Apache 2.0
- Scans text for AI-generated patterns and computes a detection risk score with specific fix recommendations.MIT
- Analyze media content to identify AI-generated material across images, video, audio, and text formats using specialized detection models.MIT
- Detect AI-generated text using Pangram Labs: classify input as human-written, AI-generated, or AI-assisted and return verdict, class fractions, and segment breakdown.MIT
- Matches a use case description to relevant Hermes ecosystem tools using AI-generated summaries. Get personalized recommendations answering what to use for specific tasks.MIT
- Analyze RGB channel correlations, saturation, and entropy in an image to detect AI-generated content by revealing unnatural color patterns.MIT