AI detector for Recruiters

1. 1

   Receive candidate cover letter, take-home assessment, or written exercise

2. 2

   Run through AI Checker as part of standard screening

3. 3

   Review the score in context of the role and the candidate's other materials

4. 4

   Flag for follow-up rather than auto-reject

5. 5

   Use the result to inform interview questions, not as a sole decision basis

The recruiters use case, in detail.

Recruiters have an interesting tradeoff: in many roles, AI-assisted writing in a cover letter is acceptable or even expected (writing is a tool, not a competency for most jobs). The harder cases are roles where written work is itself the deliverable — content marketing, strategy consulting, technical writing, journalism. For these roles, AI detection in the candidate funnel is genuinely diagnostic. AI Checker recommends a clear policy: communicate to candidates that submitted writing samples will be screened, treat high AI scores as a flag for follow-up rather than auto-rejection, and probe authorship in the interview rather than assuming it. Many strong candidates use AI assistance for editing — that's different from AI authorship, and the sentence-level breakdown is essential for distinguishing the two.

The recruiters workflow, in depth.

Recruiting is the use case where AI detection is most often misapplied. The naive workflow — paste cover letter into detector, reject anything above 70% — is wrong for most roles. In 2026, AI assistance for written communication is the norm for knowledge work, and a cover letter polished with ChatGPT does not signal that the candidate cannot write or cannot communicate. It signals that the candidate uses available tools, which is what you want for most roles. AI Checker's recruiter tier is designed for the harder cases: roles where written work is itself the deliverable rather than a side competency. For content marketing, strategy consulting, technical writing, journalism, and similar roles, AI detection in the candidate funnel becomes genuinely diagnostic. AI Checker recommends a clear, communicated policy: tell candidates upfront that submitted writing samples will be screened for AI authorship; treat high AI scores as flags for follow-up conversations rather than as automatic rejections; probe authorship and process in the interview rather than relying on the score alone. Many strong candidates use AI assistance for editing and structuring rather than for drafting — that's a different signal from AI authorship, and the sentence-level breakdown is essential for distinguishing the two patterns. Specifically: AI-edited human writing tends to flag specific cleaned-up sentences while leaving most prose untouched; AI-drafted content tends to flag uniformly across paragraphs. The recruiter tier integrates with the major ATS platforms via API and supports a candidate-facing transparency mode that shows applicants their score and the breakdown — useful for legal compliance in jurisdictions with hiring transparency requirements (NYC, California's recently expanded ADS rules). Detection scores should never be the sole basis for an adverse hiring decision; AI Checker provides documentation templates supporting that compliance posture.

Built for recruiters 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.