A practical guide to tune duplicate finder weights: adjust per-signal importance, re-apply without rescanning, and fix matches that are too loose or too tight.
How the duplicate finder sensitivity presets (Strict, Balanced, Aggressive) change how aggressively visual duplicates are grouped, and which one fits your batch.
A breakdown of the duplicate finder and its 15+ perceptual signals, from dHash, aHash, and pHash to texture, color, and shape measures that catch visual copies.
How watermark settings persist keeps your text, logo, size, opacity, and position consistent across every download task and save, with no repeated setup.
An honest look at the AVIF conversion limitation in on-download processing, why Canvas does not support AVIF, and the practical workarounds that still get the job done.
What the image quality setting (1-100%) actually controls during on-download processing, and how to choose a value that balances file size and fidelity.
How canvas image resizing quality holds up on download, using the browser Canvas, Web Workers, aspect-ratio preservation, and flexible fit modes, all locally.
How custom filenames in CSV export are stored with your tasks and restored on re-import, so a carefully named batch keeps its names across backups and transfers.
How filename tokens and sequences let you build clean, ordered filenames as images download, using drag-and-drop segments, timestamps, and auto-numbering.