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WikiPlus Social Resizer includes precise pixel presets for every major platform's published image specification as of April 2025. For Instagram the presets are: square post at 1080×1080 pixels, portrait post at 1080×1350 pixels, and Story or Reel vertical at 1080×1920 pixels. For Facebook: feed image at 1200×630 pixels, cover photo at 1640×859 pixels, and event cover at 1920×1005 pixels. For X (formerly Twitter): in-feed card at 1200×675 pixels and profile header at 1500×500 pixels. For LinkedIn: feed post image at 1200×627 pixels, company page cover at 1584×396 pixels, and company page logo at 300×300 pixels. For YouTube: video thumbnail at 1280×720 pixels, channel art banner at 2560×1440 pixels, and Shorts cover at 1080×1920 pixels. For Pinterest: standard pin at 1000×1500 pixels. For TikTok: profile cover at 1080×1920 pixels. Each preset is available as a single-click selection in the platform dropdown. The target dimensions are labelled with both the platform name and the pixel measurements so you can confirm the correct format before exporting. Output files are named with the source filename plus a platform and format suffix, for example product_facebook_feed.jpg, which keeps your asset library organised when you export multiple variants from a single source image. Presets are updated when platforms publish new specification changes.

You control the crop completely. WikiPlus Social Resizer does not apply any automatic AI-based subject detection or smart cropping without your explicit input. After you upload an image and select a platform preset, a draggable crop overlay appears on top of your image. The overlay is locked to the correct aspect ratio for the chosen platform — for example, 4:5 for an Instagram portrait post or 16:9 for a YouTube thumbnail — so the proportions are always correct. You drag, reposition, and resize the crop box freely within the image boundaries to frame the most important content exactly where you want it. This matters for images containing faces, product labels, pricing text, call-to-action headlines, or brand logos, where automatic cropping frequently cuts the wrong area. Keeping manual control means your hero element always lands in the intended position in the final export. For batches of images that share the same layout — for example, a set of product photos all shot against the same background with the product centred — you can accept the default centred crop without adjusting each one. For mixed content batches where the subject position varies across images, adjust the crop box individually per image. The crop preview updates instantly as you drag, giving you an accurate representation of the final output before any file is generated.

Sharpness after resizing depends primarily on the resampling algorithm used and the direction of the resize — whether you are reducing size or enlarging. WikiPlus Social Resizer uses Lanczos3 resampling for all downscaling operations. Lanczos3 is among the highest-quality general-purpose downscaling filters available. It applies a sinc function over a 3-lobe window to accurately reconstruct edge detail, which keeps text strokes crisp, preserves the contrast at logo outlines, and maintains fine texture grain in photographic content. For typical use cases — reducing a 3000-pixel-wide product photo down to a 1280×720 YouTube thumbnail — the output is visually indistinguishable from the source at web viewing distances. Upscaling is a different problem. When the target size is larger than the source image, the tool uses bicubic interpolation. Bicubic performs well for upscales up to approximately 1.5× to 2×: the result appears smooth and sharp enough for social platform display. Beyond 2× the limitations of the source data become visible as soft edges and interpolation artefacts. At 4× upscaling, blurring is clearly visible on text and fine logo details. The tool displays a resolution warning when your chosen export dimensions exceed the source image resolution so you can make an informed choice before downloading. For logos and text-heavy graphics, the best practice is always to start from the highest resolution source available.

Yes. WikiPlus Social Resizer accepts up to fifty images in a single session. You can drag a folder of files or shift-select multiple images in the upload dialog to load them all at once. After uploading, the tool displays a scrollable thumbnail grid where each image shows its filename, original dimensions, and the platform preset that will be applied. You can assign the same platform preset to all images with a single dropdown selection, or set a different preset per image if your batch contains mixed content types. The crop setting defaults to centred for all images. For images where the default crop is acceptable, you can proceed to export immediately. For images where you need precise crop control — such as portrait photos where the face may be off-centre or product shots with the item in a non-standard position — click the individual thumbnail to open the crop editor for that specific file, adjust the box, and return to the grid. When you are satisfied with all settings, the Export button generates a ZIP archive containing all resized files. Each output file is named using the original filename plus an underscore and the platform suffix, for example banner_linkedin_cover.jpg. Processing fifty typical social images of around 2 to 5 megapixels each takes roughly five to ten seconds on a modern laptop. Everything runs in the browser using WebAssembly-compiled image processing, so there is no upload delay and no server round-trip.