Circle Crop processes one image at a time in your browser and always produces a transparent PNG whose width and height both equal the source image's shorter side, so a 1200×800 landscape photo yields an 800×800 file with a circular center and transparent corners. There are no sliders, no positioning controls, and no automatic subject detection, which is precisely why the result is predictable when you need to circle crop bulk multiple images. The largest centered square is clipped to a circle and drawn onto a transparent canvas at its original pixel size, and every pixel outside the circle is set to fully transparent. All decoding, clipping, and PNG export happen in the current browser tab using the Canvas API, with no image pixels, filename, crop result, or usage detail uploaded to Lizely. This combination of one-file-at-a-time processing and total local handling is what makes the tool usable for batch circle-cropping work where privacy, consistency, and predictable file size matter.
What Circle Crop Does to Multiple Images
Every time you load a file, Circle Crop takes the largest centered square in that source, clips it to a circle, and writes the result as a transparent PNG. The output dimensions are not chosen by you — they are derived from the input. A square source keeps its original size. A 1200×800 landscape becomes an 800×800 PNG that uses the source rectangle from x=200 to x=1000. An 800×1200 portrait also produces 800×800, this time from the centered vertical region y=200 to y=1000. The circle is drawn at half the output side, so the geometry is symmetric in both directions.
Because the rule is identical for every file, you get uniform output across a whole batch. The same portrait dimensions keep producing 800×800 squares. The same landscape dimensions keep producing a different 800×800 square. There is no per-image surprise where one crop ends up wider than another, because nothing in the pipeline depends on image content — only on the shorter side and the centered crop plan shared by the production renderer and the isolated golden tests.
Why a Single-Image Tool Still Works for Bulk Circle Cropping
"Bulk" circle cropping does not require a separate batch engine. It requires a workflow you can run quickly and repeat without thinking. Circle Crop is designed for that pattern. The same three actions — choose file, click create circle crop, download — produce the same output for any valid input. Once you have processed two or three images, the muscle memory is set, and a folder of fifty profile photos becomes a quiet afternoon rather than a setup chore.
The local-only processing path makes bulk work safer. The selected file is opened through a temporary object URL, decoded by the browser, and drawn with the Canvas API. The generated PNG gets its own temporary object URL for the preview and the download. Both URLs are released when they are replaced or when the page closes, and older asynchronous work is guarded so it cannot overwrite a newer selection. Nothing leaves your machine. That means you can run the workflow for personal photos, employee headshots, or marketplace avatars without worrying about an upload step appearing in the background.
Predictability also matters in bulk. Because the tool has no positioning controls, no zoom, and no subject detection, the result for any given source dimensions is exactly the result you get next time you feed in a source with the same dimensions. That is a feature, not a limitation, when you are producing a uniform set of avatars for a team directory or contact card, because every circle ends up anchored the same way relative to its source.
How to Circle Crop Bulk Multiple Images
- Open Circle Crop in your browser tab and pick the first JPG, PNG, or WebP file you want to crop. Stay within 25 MiB for the compressed file, 20,000 pixels per side after decoding, and 40 megapixels of total decoded area.
- Confirm the source dimensions displayed under the loaded preview so you know which side will define the final circle size.
- Click Create circle crop. The renderer builds a transparent canvas at the shorter side, clips the centered circle path, draws the centered source rectangle into it, and exports the result as a PNG.
- Inspect the transparent PNG preview. Hold it against a white page and a dark page to check the circular boundary for halos or cropping that touches important detail.
- Download the PNG. Keep the original file until you have verified the output, because the PNG is a fresh encode and does not preserve EXIF, color profiles, or orientation tags from the source.
- Repeat steps one through five for the next file. Each session handles one image, so the bulk workflow is simply the loop.
- When you have finished the batch, review every PNG against the same light and dark background before publishing. Use an image editor to reposition the source first if any subject sits close to an edge.
Input Limits and Output Dimensions
| Property | Value |
|---|---|
| Accepted input formats | JPEG, PNG, WebP |
| Excluded input formats | SVG, GIF (vector data and animation are not preserved) |
| Maximum compressed file size | 25 MiB (26,214,400 bytes) |
| Maximum pixels per side after decoding | 20,000 pixels |
| Maximum total decoded pixels | 40 megapixels |
| Output format | PNG (required for the transparent corners) |
| Output dimensions rule | Width and height both equal the shorter source side; the output is not resized |
| Crop region | Largest centered square in the source |
| Processing location | Current browser tab only, using the Canvas API |
Two related limits often come up together. The compressed limit is about transport — what your browser can read off disk. The decoded limits are about memory — what the canvas can hold once the image is unpacked. A small JPEG that decodes to a 19,000 by 19,000 pixel image still passes the file-size rule and the per-side rule but fails the megapixel rule. Conversely, a high-resolution PNG that decodes to 8,000 by 7,000 fails the megapixel rule. Keep both checks in mind when you are preparing a batch, because mismatched sources will throw explicit errors instead of silently producing wrong output.
Tips for Consistent Results Across a Whole Batch
Center the subject before you start. Center cropping is only as good as the source composition. If a face or product sits close to one edge of the photo, the circle will clip it no matter how carefully you run the workflow. Open the originals in an editor first and reframe them so the subject sits near the middle with breathing room on every side.
Match source dimensions when uniformity matters. If you need a grid of avatars that all look identical at the same display size, start from sources that share the same shorter side. For example, ten 1500×1500 portrait headshots will all produce 1500×1500 PNGs. Mixing 1500×1500 sources with 2000×1500 sources will give you a mix of 1500×1500 and 1500×1500 outputs — the dimensions match, but the framing inside the circle will differ because the original aspect ratios differed.
Expect the PNG to be larger than the JPEG or WebP. PNG uses lossless compression, so a circular crop of a JPEG will usually come out as a PNG that is bigger than the original. That is normal. It is the cost of having transparent pixels outside the circle and pixel-perfect edges. If you need a smaller file, run the PNG through Image Compressor after you have verified the crop.
Check both light and dark backgrounds. Antialiased pixels along the circular boundary are partially transparent. They blend into the page color, so a circle that looks clean on white may show a faint halo on black, and vice versa. Test the PNG against the actual background it will live on before publishing the whole batch.
Keep the originals. The downloaded PNG is a new encode and does not promise to preserve EXIF metadata, camera orientation, color profiles, animation, or embedded text. If you need any of those fields later, return to the source file rather than the circle crop output.
Combine the finished batch when you need a single document. If the cropped PNGs are heading into a printable contact sheet, a team directory, or a marketplace listing, you can turn multiple images into one PDF in your browser after the batch is complete. Run Circle Crop first to get clean circular avatars, then merge them locally for delivery.