About DualView

DualView is a free, browser-based comparison toolkit for images, videos, audio, documents, and AI prompts. It is built for creators, developers, QA teams, and AI practitioners who need quick side-by-side inspection without uploading private files to a server.

The product and editorial guides are maintained by . The goal is simple: make comparison workflows fast, private, and practical enough for real daily work.

Free first

Core comparison tools are available in the browser with no signup and no paid plan requirement.

Privacy first

Files are processed locally in the browser wherever possible, which is important for client work, QA assets, and unpublished AI outputs.

Comparison first

The app focuses on inspection modes such as side-by-side, slider, heatmap, scopes, waveform, and prompt diff views.

Editorial Method

DualView articles prioritize repeatable workflows over hype. Model and tool guides should avoid unsupported benchmark claims, cite named sources when making factual claims, and explain how a reader can compare results directly.

What DualView Covers

How Privacy Works

DualView is designed around local browser comparison workflows wherever the browser platform allows it. That means the practical review step for images, video, audio, JSON, documents, prompts, and 3D files can happen on the user's device instead of requiring a server upload just to inspect differences.

No signup for core comparison

The main comparison workflows are available without creating an account, which keeps the first review step fast for one-off QA, client feedback, and AI output inspection.

Open and inspectable project

DualView links back to Gokay Aydogan's public developer profiles so users and crawlers can connect the product, author, and maintainer entity consistently.

Editorial standards

Guides should describe repeatable comparison workflows, avoid fake benchmark claims, and use visible sources for facts that change quickly.

Who Uses DualView

DualView is useful for designers comparing image edits, video teams reviewing renders, audio producers checking mixes, developers comparing JSON or documents, QA teams looking at visual regression screenshots, and AI practitioners reviewing prompt or model output changes.

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