Eyeball
Embeds source screenshots in AI analysis to kill hallucinations
Expert verdict
Ship
3-1The Panel's Take
Eyeball is a GitHub Copilot CLI plugin with a deceptively simple idea: instead of trusting the AI to accurately summarize documents, it captures screenshots of the actual source material and embeds them alongside the AI's claims in the output report. If the model says "Section 10 requires mutual indemnification," the report shows that exact section highlighted in yellow directly below the claim. The underlying insight is sharp — screenshots cannot be hallucinated. Text can be subtly reworded, paraphrased incorrectly, or synthesized from nowhere. But a screenshot is a literal capture of the source. Built for legal review, compliance analysis, financial due diligence, and any domain where the stakes of an AI error are high. Built by indie developer dvelton, it handles PDFs, Word documents, and web pages. MIT licensed, free to use. Surfaced on Hacker News Show HN today, where it sparked an active discussion about AI verification and the underrated value of visual evidence in AI-assisted analysis workflows.
Share this verdict
Eyeball verdict: SHIP 🚀 3 ships · 1 skip from the expert panel Full review: shiporskip.io/tool/eyeball-dvelton-screenshot-anti-hallucination-github-copilot-cli-plugin-2026
Weekly AI Tool Verdicts
Get the next verdict in your inbox
7 critics review a new AI tool every day. Weekly digest — free.
Similar Products
Compare Eyeball with Others
Looking for Eyeball alternatives?
Compare Eyeball with every other Developer Tools tool reviewed by our panel.
See all Developer Tools alternativesEmbed this verdict
Tool makers can add a live ShipOrSkip badge to their site. Badge loads track impressions; clicks route back to this review.
<a href="https://shiporskip.io/api/badge-click/eyeball-dvelton-screenshot-anti-hallucination-github-copilot-cli-plugin-2026" target="_blank" rel="noopener"><img src="https://shiporskip.io/api/badge/eyeball-dvelton-screenshot-anti-hallucination-github-copilot-cli-plugin-2026" alt="Eyeball Ship verdict on ShipOrSkip" width="360" height="90" /></a>[](https://shiporskip.io/api/badge-click/eyeball-dvelton-screenshot-anti-hallucination-github-copilot-cli-plugin-2026)<iframe src="https://shiporskip.io/embed/eyeball-dvelton-screenshot-anti-hallucination-github-copilot-cli-plugin-2026" title="Eyeball ShipOrSkip verdict" width="360" height="260" style="border:0;border-radius:16px;max-width:100%;" loading="lazy"></iframe>The reviews
“This is one of those ideas that makes you think 'why isn't every AI analysis tool doing this?' The implementation is simple — capture screenshots of the source during analysis — but the trust it builds in the output is enormous. I'd use this immediately for any contract or regulatory review workflow.”
“Screenshots prove the source exists but don't verify the AI's interpretation of it is correct. A model can still misread highlighted text or draw wrong conclusions. Also, PDF-to-screenshot pipelines get messy with scanned documents, multi-column layouts, and complex tables — exactly the docs where hallucinations are most likely.”
“Eyeball points toward a future of verifiable AI outputs — not just 'the model said this' but 'the model said this, here's the evidence, here's the reasoning chain.' Legal AI adoption hinges on explainability, and embedded source screenshots are a practical step toward outputs that hold up under professional scrutiny.”
“For research, journalism, and content work where you're citing sources, this is a game-changer. The ability to produce a report where every claim is visually anchored to the source makes the output publishable rather than just useful. The design of the output document matters — would love to see more control over the visual layout.”