AI detector for Editors

1. 1

   Receive freelance pitch or completed draft

2. 2

   Paste into AI Checker for fast screening

3. 3

   Review sentence-level breakdown for ghostwritten or AI-polished passages

4. 4

   Decide whether to accept, request revisions, or reject

5. 5

   If accepting AI-assisted work, ensure disclosure per editorial policy

The editors use case, in detail.

Editors at digital publications, content marketplaces, and editorial agencies face a quiet flood of AI-assisted submissions. The honest split: roughly 30% of freelance pitches in 2025 contain meaningful AI assistance, and a smaller fraction are entirely AI-generated and resold. Editorial policy varies — some publications accept AI-assisted work with disclosure, others reject it outright. AI Checker is the tool of choice for editorial vetting because the sentence-level breakdown is more useful than a single score: it tells you whether a piece is AI-drafted-and-edited (most paragraphs flagged) versus AI-polished-from-human-draft (specific lines flagged). Editorial workflows on AI Checker include the API tier for inline checks during draft review, plus a privacy mode that doesn't store submissions for use in training sets.

The editors workflow, in depth.

The economics of editorial AI detection have shifted in 2026 in ways most publications haven't fully internalized. Freelance writing rates were under pressure for years before LLMs; now a meaningful portion of pitched work is AI-assisted at minimum, with a smaller fraction fully AI-generated and resold across multiple publications. Editorial policies are catching up unevenly: some publications now require explicit AI disclosure, others have blanket bans, and many have no formal policy and rely on editor judgment per piece. AI Checker is built for the editorial workflow specifically. The most useful feature for editors isn't the document-level score — it's the breakdown that distinguishes three patterns of AI use. Pattern one: fully AI-generated work with light human polish, where most paragraphs flag at moderate-to-high confidence. Pattern two: AI-polished human draft, where specific sentences (often the cleanest, most polished ones) flag while the rest of the prose reads human. Pattern three: legitimate AI-assisted research with original prose, where flagging is sparse and scattered. Each pattern warrants different editorial action. AI Checker's editorial tier supports the workflow with inline API checks during draft review (so flags surface before you've spent editing time), batch submission for monthly contributor audits, and a privacy mode that doesn't retain submissions beyond the immediate analysis. For publications that accept AI-assisted work with disclosure, AI Checker can verify that disclosed AI use matches the actual AI signature in the submission — useful for ensuring contributor disclosures are honest. For publications enforcing a no-AI policy, the breakdown plus contributor history gives editors a fair process for follow-up conversations rather than an opaque single number.

Built for editors who need actionable detection.

• Sentence-level breakdown. Every result includes per-sentence scoring with the most likely source model identified — so the output is actionable evidence, not just a single percentage.
• Free tier with no daily traps. Up to 10,000 characters per check, unlimited checks per day, no signup required. Paid tiers exist for volume and team features, not as a tax on the free experience.
• API access on every plan. Integrate detection into your existing workflow with a clean REST API. Documentation includes example clients in TypeScript, Python, Go, and Rust.
• Privacy-first by default. Submissions are processed in memory and not used to train models. No third-party advertising trackers. Read our security & privacy policy for the long version.
• Multi-model coverage. We detect ChatGPT, Claude, Gemini, Llama, Mistral, Microsoft Copilot, and emerging open-source variants — not just GPT.

Detection by model, comparison, and language.