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Drop images here or click to browse JPG, PNG, WebP, BMP, GIF • Multiple files supported
16–4096
Auto (aspect locked)
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About

Thumbnail generation involves lossy resampling: the source image of W × H pixels is mapped onto a smaller canvas of w × h pixels. Every output pixel becomes a weighted average of multiple input pixels. If the downscale ratio exceeds 2×, single-pass resampling introduces aliasing artifacts - jagged edges and moiré patterns that degrade perceived quality far more than the compression itself. This tool applies multi-step downscaling when the ratio demands it, halving dimensions iteratively before the final resize. The result is a thumbnail that preserves edge sharpness at a fraction of the original file size.

JPEG quality factor Q controls the quantization table divisor. Values below 60 visibly degrade text and high-frequency detail. Values above 85 yield diminishing returns - file size grows faster than perceptual improvement. For web previews, Q = 75 is the standard sweet spot. This tool approximates output size before encoding so you can balance bandwidth against fidelity without trial-and-error exports.

jpg thumbnail image resize preview generator thumbnail maker image optimization batch thumbnail

Formulas

The output thumbnail dimensions are computed by locking aspect ratio to the source image:

wout = wtarget
hout = hsrc × wtargetwsrc

When the downscale ratio exceeds 2×, multi-step halving is applied. The number of intermediate steps:

n = floor(log2(wsrcwtarget))

JPEG output byte size is approximated by:

S wout × hout × 3 × (1 Q100) × k

Where wsrc, hsrc = source dimensions. wtarget = desired output width. wout, hout = final output dimensions. Q = JPEG quality factor (1 - 100). k 0.09 empirical compression constant. n = number of halving passes before the final resize.

Reference Data

Use CaseRecommended WidthQuality (Q)Typical File SizeNotes
Social Media Avatar150px805 - 15 KBSquare crop preferred
Email Inline Preview200px708 - 20 KBKeep under 25 KB for Outlook
Blog Post Thumbnail300px7515 - 40 KBStandard WordPress size
E-commerce Product Card400px8025 - 60 KBWhite background improves compression
Open Graph / OG Image1200px7580 - 150 KBFacebook/LinkedIn preview
Gallery Grid Thumb250px7010 - 30 KBLazy-load full resolution on click
Mobile App Icon180px858 - 18 KBiOS requires PNG; use JPG for Android
Video Poster Frame640px7540 - 80 KBMatches 360p aspect
PDF Document Preview595px8030 - 70 KBA4 width at 72 DPI
Retina Thumbnail (2×)600px6530 - 55 KBServe at 300 CSS px; lower Q compensates for 2× size
Lazy-Load Placeholder (LQIP)32px30< 1 KBBlur-up technique; inline as base64
Slack / Discord Embed360px7520 - 45 KBAuto-cropped by platform
Print Contact Sheet800px8550 - 120 KBAim for 150 DPI minimum

Frequently Asked Questions

Blurriness typically results from downscaling by more than 2× in a single pass. The browser's default bilinear interpolation averages too many source pixels into one output pixel, losing edge definition. This tool detects ratios above 2× and applies iterative halving - each pass reduces dimensions by 50% until the final step reaches your target size. If the image still looks soft, try increasing the target width by 20-30% and let the display CSS handle the final scaling.
For photographic content, Q = 75 is the industry standard. At this level, JPEG artifacts are imperceptible at thumbnail sizes (under 400px wide), and file size is typically 60-70% smaller than Q = 100. For images with sharp text or line art, increase to Q = 85. Below Q = 60, color banding and block artifacts become visible, especially in gradients and skin tones.
Aspect-ratio lock preserves the original proportions, preventing distortion. However, it means you control only one dimension - width or height - and the other is computed automatically. If your target container has a fixed aspect ratio different from the source (e.g., a 1:1 square crop from a 16:9 photo), you would need to crop first. This tool does not crop; it scales proportionally.
Yes. The Canvas API decodes any browser-supported image format (PNG, WebP, GIF, BMP, SVG rasterized) into raw pixel data. The output encoding is independent of the source format. Note that PNG transparency is composited against a white background when converting to JPG, since JPEG does not support alpha channels.
Each halving pass adds one additional Canvas drawImage call. For a 4000px source scaled to 200px (ratio 20×), approximately 4 intermediate passes are needed. On modern hardware, each pass takes under 5ms for images below 10 megapixels. The total overhead is negligible compared to the JPEG encoding step, which dominates at 20-50ms per image.
Browser Canvas elements have implementation-defined limits. Chrome and Firefox support canvases up to approximately 16384×16384 pixels (268 megapixels). Safari on iOS limits to roughly 4096×4096. If your source image exceeds these limits, the canvas will silently fail to render, producing a blank output. For images above 50 megapixels, consider pre-scaling in a desktop editor.