Detector de IA Gratis – Detecta Textos Generados por IA

What

Detector de IA Gratis is a web-based text analysis utility designed for educators, marketers, writers, and business professionals seeking to determine whether written content was generated by artificial intelligence. It addresses verification challenges in digital publishing and academia by scanning text for statistical and linguistic markers typical of large language models like ChatGPT, Claude, and Gemini. Positioned as a lightweight, accessible verification tool, it provides immediate probability estimates directly in the browser without requiring an account.

Features

• Multi-Model Pattern Analysis: Evaluates linguistic and statistical indicators associated with systems such as ChatGPT, Claude, Copilot, and Gemini to estimate the probability of machine generation.
• Cross-Format Text Processing: Accepts a variety of content types—including academic essays, blog posts, SEO copy, and professional correspondence—enabling flexible use across different domains.
• No-Registration Web Interface: Operates entirely within the browser without sign-up requirements or software installations, allowing for instant text checks with minimal workflow friction.
• Spanish Language Capability: Supports analysis of Spanish-language content, broadening utility for regional editorial and educational workflows.
• Tiered Generation Assessment: Distinguishes between fully generated text, human-edited machine text, and purely human writing to assist in assessing partially modified drafts.

Helpful Tips

• Treat outputs as contextual signals: Use the tool's probability estimates as supplementary reference points rather than definitive proof, as language models and human editors can produce overlapping linguistic structures.
• Account for false positives in formal writing: Manually verify highly structured, concise, or strictly academic text, which carries an inherent risk of being flagged incorrectly.
• Monitor heavily edited drafts: Recognize that substantial human editing alters original statistical patterns, which can reduce the detector's ability to identify underlying AI assistance.

OpenClaw Skills

The source documentation does not mention native integrations, APIs, or connectivity with the OpenClaw ecosystem. As a hypothetical use case, an OpenClaw agent could be configured via browser automation to route incoming editorial drafts or student submissions into the detector to extract probability scores before publishing or grading. If implemented, such an automated screening workflow could assist content operations and compliance teams in maintaining baseline quality standards while minimizing manual copy-paste routines.