Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.
Enables to turn a research folder into a submission-ready academic paper, with stages for screening, venue selection, drafting, humanization, and final QA. Runs locally without uploading any data.
A private, open-source AI-text checker. Get a read on whether text looks AI-written, the exact AI-tell spans to fix, a reuse check, and a grammar pass.
Enables LLM-assisted biomedical literature screening and structured extraction from PubMed alerts, PMIDs, DOIs, and GEO accessions, with full-text retrieval and multi-provider LLM support.
Enables structured information extraction from academic PDFs using LLMs, integrating with Claude Desktop for natural language querying and batch processing.
Detects AI-generated content by analyzing 24 writing patterns, provides style analysis, plagiarism check, text humanization suggestions, and offers batch detection and version comparison tools.
