6 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Google's SynthID Detector, a web tool for uploading an image, audio or video file to check for SynthID watermarks. It only detects media made by products from companies that have adopted SynthID, and the page states it is not a general AI detector.
Kelsey Piper's essay in The Argument (September 6, 2026) on the backlash against Pangram, an AI-writing detector, arguing that much of the opposition comes from writers passing off AI-generated text as their own.
Graphite research comparing 10,000 human articles with 90,000 AI-generated articles from nine models on the same topics. Measures usage rates of well-known AI tells, corrective framing and intensifiers across GPT, Claude and Gemini model versions, relative to human writing. Published September 2026.
Why I recommend it: Graphite is an SEO/AEO firm; the research write-up is free to read.
Paste or upload a cover letter to get an estimate of how AI-generated it sounds, plus a free CV builder with ready-made bullet points for 1,200+ job titles.
Why I recommend it: AI detectors are unreliable and can flag human writing — use the score as a nudge to add your own specifics, not as proof either way.
Charts pulling together 20+ surveys (Resume Genius, Greenhouse, Gartner, HireVue and others) on how often recruiters spot AI-written applications and how much each side trusts AI in hiring.
Why I recommend it: Some data points are marked as interpolated, and the publisher sells an AI-detection tool — treat it as a survey roundup, not independent research.
Open-source project by Guillaume Meyer that strips multi-vendor AI provenance marks, including Unicode text artifacts, statistical rewrite hooks, and C2PA metadata from PNG, JPEG, SVG, PDF, DOCX, HTML, and Markdown files.
Why I recommend it: Listed as evidence, not advice. It shows why AI-detection claims about your writing are shaky, and why disclosure beats concealment.
