爱改写
Product information, use cases, and access for 爱改写.
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What is 爱改写?
爱改写 is a writing assistant for AIGC text processing, combining AI-text detection, intelligent rewriting, proofreading, and optimization based on evaluation feedback. It is intended for people who want to inspect their wording, refine machine-like expressions, and improve a draft while keeping its facts, data, and original meaning in view.
Users can paste text or upload a document for sentence-level risk identification and revision suggestions. The service also provides expression-optimization options for English, Japanese, and Korean content, making it useful for papers, reports, and other writing that needs review before submission.
Key features of 爱改写
AIGC Text Detection
The service identifies potentially machine-like expressions at the sentence level, helping users locate passages that need closer review instead of relying only on a broad overall assessment. This gives users a starting point for examining wording, rhythm, and repeated structures before deciding whether to rewrite.
Intelligent Rewriting
Intelligent rewriting adjusts sentence patterns, word choice, and writing rhythm in the passages that have been flagged, with emphasis on retaining the original meaning, facts, and data. It is suited to paragraphs that need less templated wording or a more natural presentation without changing their central content.
Proofreading and Polishing
During rewriting, 爱改写 also checks grammar, punctuation, and word choice so users can address basic expression issues at the same time. This is useful for cleaning up a first draft, reviewing revised passages, and keeping the writing clear and coherent after sentence structures have been adjusted.
Comment-Guided Optimization
After a document containing AI evaluation feedback or comments is uploaded, the service can use that feedback to generate a corresponding revised draft. This is useful when an editor needs to address specific remarks, respond to comments systematically, or prepare a version that better reflects submission requirements.