Does cropping a JPG reduce image quality?

Cropping discards pixels outside the selected rectangle, which is a one-way edit, but the kept area is re-encoded at the cropper's output quality — typically a high JPG quality setting (around 90–95) that introduces no visible loss for one generation. Avoid repeatedly cropping and re-saving the same JPG dozens of times; each pass adds a small amount of generational JPG noise around hard edges. If you need a pristine archival copy, keep the original and treat the cropped file as a working version.

Can I set exact pixel dimensions, or only aspect ratios?

Both. Enter precise Width, Height, X, and Y values for pixel-perfect output — useful when a platform requires an exact size (US visa photos at 600×600, YouTube thumbnails at 1280×720, LinkedIn at 640×640). Or pick a ratio preset and drag the crop box; the dimensions update live and you can fine-tune the numbers before clicking Crop. Free mode lets you ignore ratios entirely and select any rectangle.

How do I crop a JPG into a circle for a profile picture?

JPG cannot store transparency, so a literal "circle crop" with see-through corners isn't possible in the JPG format — every JPG is a solid rectangle. Crop to 1:1 square here (LinkedIn, Slack, GitHub, Discord all display avatars as a circle, so the platform applies the round mask automatically when displaying the avatar; a centred square face is all you need). If you genuinely need a PNG with transparent corners, Crop PNG preserves the alpha channel.

Can I crop multiple JPG files to the same dimensions at once?

Yes. Upload a batch, set one crop rectangle, and every file is cropped to the same width, height, X, and Y. Useful for product catalogues, school portraits, ID-style headshots, or any set where consistent framing matters more than per-image fine-tuning. Each output is saved with its original filename plus a suffix, and the whole batch downloads as a ZIP.

Why is the output file size larger (or smaller) than I expected?

Cropping removes pixels, so the raw image data shrinks proportionally — a 4000×3000 photo cropped to 1080×1080 keeps roughly 9% of the pixels. But the final JPG also depends on output quality and the complexity of the kept region. A crop that captures detailed texture (foliage, fabric, fur) compresses less efficiently than a crop of smooth sky or solid background, so two same-pixel-count crops can produce different-sized files. To force a specific size, follow up with Compress JPG and set a target file size in MB.

What's the difference between cropping and resizing — can't I just resize to the same dimensions?

Resizing keeps the entire image but scales it; a 4000×3000 photo resized to 1080×1080 stretches the composition into a square, distorting faces and objects. Cropping keeps the original pixel scale but trims the framing — your subject stays the same shape and size in the final file. For most social-media and ID-photo workflows the correct sequence is: crop first to fix aspect ratio, then resize if the cropped pixel count still doesn't match the target spec.

Does cropping preserve EXIF data and the date the photo was taken?

The cropped JPG is a re-encoded file, but standard EXIF tags (camera model, ISO, shutter speed, date taken, GPS coordinates if present) are copied across in most modern tools, including this one. The orientation tag is rewritten to match the visible crop. If you want to strip metadata for privacy before sharing — for example, removing GPS coordinates from a phone photo — that's a separate step; cropping alone won't redact location data.

Can I crop a JPG without re-encoding it (true "lossless crop")?

True lossless JPG cropping is only possible when the crop boundaries fall on JPG's 8×8 (or 16×16 for chroma-subsampled images) DCT block grid — a niche operation supported by command-line tools like jpegtran -crop. The xconvert cropper re-encodes at high quality for predictable output, which is what most use cases (social media, ID photos, e-commerce) want. If absolute byte-level fidelity matters and your crop happens to align with block boundaries, jpegtran or exiftran on a local machine is the right tool.

Crop JPG

Crop JPG images with aspect ratio presets (1:1, 16:9, 9:16, 4:5) or exact pixel dimensions. Perfect for Instagram, YouTube, TikTok. Free.

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