detector.guru 1.3.0: a faster, clearer detection workflow

Release 1.3.0 streamlines detector.guru with per-image progress, compact upload cards, full-screen previews, safer retries, and clearer result actions.

By detector.guru editorial team · July 20, 2026

detector.guru 1.3.0 makes the image-checking workflow faster to scan and easier to control, especially when several files are moving through upload and analysis at the same time.

Clear progress for every image

Each selected image now owns its upload progress and status. Completed results remain available while the rest of a batch continues, and compact cards keep the filename, file size, progress, and recovery actions visible without repeating the same message in several places.

Authenticated Dashboard uploads now use the same compact queue-card pattern as the homepage flow. During upload, the percentage reflects real browser progress. Once the upload finishes, the interface moves cleanly into analysis without showing a misleading fixed progress value.

Full-screen image previews

Images with a usable preview can open in a focused full-screen viewer. The viewer keeps the file name and current status in a compact top bar, fits the image to the viewport, and supports the expected close button, backdrop, and Escape interactions.

Completed authenticated cards also link directly to their saved result. Result images reserve their layout while loading, which reduces visual jumps on mobile and desktop.

Safer retry and timeout behavior

Retry now protects an active detection from conflicting file replacement or reset actions. Dashboard uploads also have a bounded timeout with explicit recovery, so a stalled browser request cannot leave the entire batch locked indefinitely.

Simpler result actions

Standard results now put the one-credit Deep Analysis upgrade first, explain that it compares two independent AI models, and keep History as the secondary action. This makes the next step clearer without changing the underlying analysis or credit model.

As always, detection scores are probabilistic signals rather than proof of an image's origin. Use them alongside source context, provenance, and human review. You can check an image now or open the dedicated detection flow.