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GitHub Trending
5/10

PatentEyeball

A prior-art search tool for patent attorneys that uses vision-language models to scan diagrams in patent filings and surface ones that look visually similar to a target invention, with explicit 'might be wrong' flags on uncertain matches.

Target user

Patent attorneys and IP paralegals doing prior-art searches

Features
  • Visual similarity search across USPTO, EPO, and WIPO patent diagrams using embedding models
  • Atomic-perception checks: counts components, reads labels in figures, identifies orientations — the exact weak points PerceptionBench flags
  • Side-by-side figure viewer with a 'confidence this diagram is relevant' badge per result
  • Exportable prior-art report draft the attorney can edit before filing
Why now

PerceptionBench isolates the perception capabilities (counting, fine-grained recognition, OCR, depth) that patent image search most relies on — and shows frontier models are unreliable at exactly those tasks.

Signals · overall 5/10
Demand
7/10

Prior Art Search AI market reached USD 1.62B in 2024 with multiple 2025 ranking articles devoted to AI prior-art tools and claims of 80%+ time savings, indicating strong practitioner pull.Prior Art Search AI Market Research Report 2033Top 7 Prior Art Search Tools for Patent Attorneys in 2025

Whitespace
4/10

Crowded: IPRally Image Search, XLScout Para-Picx, USPTO DesignVision (free, July 2025), Patsnap Eureka, Solve Intelligence, Orbit Intelligence all already offer image/diagram-based prior-art search.Introducing Image Search | IPRally BlogUSPTO DesignVision AI Image Search ToolVisual Patent Search: Para-Picx for Image-based FTO Analysis

Monetization
6/10

Patent attorneys demonstrably pay for IP research platforms (Patsnap, Orbit Intelligence, Questel) and the AI patent-search market is USD 1.48–1.62B, but USPTO DesignVision is free to examiners and pressures pricing.Prior Art Search AI Market Research Report 2033Patsnap Pricing Plans

Longevity
6/10

Prior-art search demand is durable because patents keep filing, and uncertainty-flagging is a defensible UX hook, but frontier VLM perception is improving fast — the gap PatentEyeball exploits may close within a few model cycles.AI Patent Search Market Size | CAGR 12.5 Forecast 2033

Feasibility
4/10

Hard: PerceptionBench shows frontier VLMs are unreliable at counting, fine-grained recognition and OCR — exactly the perception tasks diagram prior-art search depends on, so a trustworthy product is difficult to ship without heavy human-in-the-loop.Prior Art Search: 7 AI Tools Ranked for Patent Professionals

PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models · ★ 91GitHub Trending · 2026-07-28 (today)