SeeClearly
A consumer image-description app for blind and low-vision users that explicitly flags when an AI scene caption might be wrong, so users can decide whether to trust it before acting (crossing the street, identifying medication, reading a label).
Blind and low-vision smartphone users relying on camera-based accessibility tools
- Confidence-tagged captions: every description carries a 'high/medium/low certainty' badge the user hears aloud
- Per-task modes (street crossing, label reading, identifying people) that use different verification thresholds
- 'Ask me again' button that triggers a second-pass description with cross-checks and surfaces the disagreement
- Privacy-first on-device processing for face and sensitive-object description
PerceptionBench just showed every top multimodal model fails atomic visual perception tasks (no model above 60%) and that perception-related hallucination is the worst category at 26-50% — that is exactly the failure mode that gets blind users hurt.
Large and active market — multiple established competitors already serve it (Be My Eyes, Seeing AI, Envision AI, Aira, Google Lookout, Oorion, Lumyeye), confirming real pull from blind/low-vision users for camera-based AI descriptions, and PerceptionBench documents the exact failure mode (perception hallucinations) that this idea addresses.7 Best Apps for Blind & Visually Impaired Users 2026 ↗PerceptionBench: Evaluating Atomic Visual Perception in MLLMs ↗
The explicit 'confidence/uncertainty flag' angle is genuinely differentiated — Seeing AI, Be My Eyes, Envision and Aira all return confident scene descriptions without surfacing model uncertainty, and research (OpenAI 'Why language models hallucinate', Nature 2026 on accuracy-incentivizes-guessing) confirms honest uncertainty signaling is an unsolved gap.Envision - Assistive Technology for Blind and Low Vision ↗Tech Talk: Seeing AI, Envision AI & BeMyAI - What's the Difference? ↗
Accessibility users demonstrably pay for premium tools — Envision AI and Aira run subscription models, but Be My Eyes is free and Apple's built-in Vision tools offer no-cost baseline, plus Microsoft/Google can subsidize, so willingness-to-pay exists but pricing power is constrained.Envision AI App Review (2026): Accessibility Features & Benefits ↗Be My Eyes App - Let's see the world together ↗
Accessibility need is permanent and demand only grows as AI-assisted tools spread
Wrapping existing MLLM APIs is straightforward, but the core feature — a reliable per-image uncertainty/confidence signal — is genuinely hard because PerceptionBench shows top models miss 40%+ of atomic perception tasks, and calibration of MLLMs (knowing what they don't know) is an open research problem flagged in Nature 2026.PerceptionBench: Evaluating Atomic Visual Perception in MLLMs ↗Why language models hallucinate ↗