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Eyeball

Eyeball

Inline screenshots with every AI claim — hallucination's paper trail

Eyeball is an indie tool that fights AI hallucination in document analysis by embedding inline screenshots of the actual source passages alongside each AI-generated claim. When you analyze a PDF or document with Eyeball, the output is a Word doc where every statement has a highlighted screenshot of the precise text it came from — because screenshots are harder to hallucinate than quotes. The tool emerged from a simple observation: AI systems routinely fabricate citations and misquote sources, and quote-only verification still requires humans to manually hunt down the original text. Eyeball short-circuits that by attaching the visual evidence directly to each claim in the output document. Legal, compliance, and research reviewers can audit AI outputs at a glance rather than cross-referencing. Built in Python, Apache 2.0 licensed, launched as a Show HN six days ago and gaining traction. The approach is low-tech by design — no vector embeddings, no proprietary API calls — just precise text highlighting, screenshot capture, and Word document assembly. The simplicity is the point: verifiable AI outputs shouldn't require a research budget.

Panel Reviews

The Builder

The Builder

Developer Perspective

Ship

This is the kind of clever, unglamorous tool that actually solves a real problem. The insight that screenshots are harder to hallucinate than quotes is simple but profound. Drop this into any pipeline that serves legal or compliance users immediately.

The Skeptic

The Skeptic

Reality Check

Skip

Screenshots of source text don't prevent the underlying problem — an AI can still misinterpret or misconstrue what the screenshot says. It adds friction to the review process without fixing the root cause. Useful for basic verification but don't mistake it for a hallucination solution.

The Futurist

The Futurist

Big Picture

Ship

Provenance-by-design is going to be mandatory for AI in regulated industries. Eyeball's approach — baking visual evidence into every claim — points toward a future where AI outputs are self-auditing. This is an indie tool today; it's a compliance standard in three years.

The Creator

The Creator

Content & Design

Ship

For editorial and research work, knowing exactly where an AI got its information is table stakes. Eyeball makes that process visual and immediate — that's a huge quality-of-life improvement for anyone who fact-checks AI-generated research.

Community Sentiment

Overall525 mentions
73% positive19% neutral8% negative
Hacker News185 mentions
76%17%7%

Screenshots harder to hallucinate than quotes

Reddit130 mentions
70%22%8%

Legal and compliance use cases

Twitter/X210 mentions
73%18%9%

Simple, transparent provenance approach