Batch Crop Images
Crop up to 20 images in one browser session using one aspect ratio or one set of pixel coordinates. Each file is decoded locally, constrained to its own dimensions, previewed in the queue, encoded with a matching browser-supported format, verified, and packaged into a ZIP.
- การประมวลผลในท้องถิ่น
- ไม่จำเป็นต้องมีบัญชี
- Per-file status
- ใช้งานได้ฟรี
Built for dependable batch work
Use this tool when a collection needs a consistent frame for a catalog, social post, presentation, or content system. Ratio mode calculates the largest possible crop inside every source. Coordinate mode applies a repeatable rectangle and safely clamps it at an image edge instead of inventing pixels.
Consistent framing across a batch
Built for repeatable image workflows with clear output evidence.
Private in-browser processing
Your selected files remain in the current browser session.
Per-file dimensions and status
Each queue row reports its own result without blocking valid files.
Verified output before ZIP packaging
Downloadable output uses names and formats that match the generated bytes.
How to use Batch Crop Images
A four-step workflow keeps the original files separate from generated output.
- 1
Add files
Add up to 20 browser-decodable images.
- 2
เลือกการตั้งค่า
Choose ratio or coordinate mode and review the shared settings.
- 3
Process locally
Run the batch and inspect each completed queue row.
- 4
Verify and download
Download the verified cropped files as one ZIP archive.
What this batch tool does
Use this tool when a collection needs a consistent frame for a catalog, social post, presentation, or content system. Ratio mode calculates the largest possible crop inside every source. Coordinate mode applies a repeatable rectangle and safely clamps it at an image edge instead of inventing pixels. Every item is handled independently, so one unsupported or damaged file does not erase successful work from the rest of the queue.
- Consistent framing across a batch
- Private in-browser processing
- Per-file dimensions and status
- Verified output before ZIP packaging
Batch Crop Images guide
Use these checks to get output that fits the destination rather than stopping at a successful download.
Choose ratio mode for consistent composition
Aspect-ratio cropping is the dependable choice when the destination defines shape but not exact pixels. A 1:1 crop supports square product tiles, 4:3 suits many editorial layouts, 3:2 follows common camera framing, and 16:9 works for widescreen placements. The tool finds the largest rectangle with that ratio inside each source, so it never stretches the image. The anchor decides which edge is protected when material must be removed.
Use coordinates only for aligned source sets
Pixel coordinates are useful for scans, screenshots, generated frames, or photographs produced from the same camera position. The same X, Y, width, and height values are applied to every item. When a rectangle touches an edge, it is clamped to valid pixels. When the rectangle sits completely outside a smaller image, that queue item reports a clear failure while the rest of the batch continues.
Review what changes during export
Cropping creates a new pixel file. The browser decodes the visible image, draws the selected region to a canvas, and encodes a fresh output. JPEG remains opaque and lossy, while PNG can preserve transparency. WebP is used when the browser can encode it; otherwise a PNG fallback is produced with the correct extension. Camera metadata, comments, animation, layers, and some color-profile information are not carried into the new canvas file.
Check the ZIP before publishing
A successful queue means the generated file has a recognizable signature and nonzero dimensions, not that the composition is automatically correct. Open representative files from the ZIP and inspect important faces, labels, logos, and edge spacing. Confirm the destination dimensions separately if the platform also requires resizing. Cropping changes the frame; it does not guarantee a specific output width, compression target, or accessibility description.
Batch quality checklist
Start with copies when the source collection is valuable, and keep filenames that let you trace every result back to its original. Test a small representative set before processing the full queue, including the largest file, a transparent image, a portrait, and a landscape image. After processing, compare pixel dimensions, format, file size, transparency, text sharpness, edge detail, and color in the actual destination. A successful browser status confirms that this tool completed and verified its expected output structure; it does not replace editorial review or the receiving platform’s rules. Keep the downloaded ZIP or CSV with the settings used for the run, then record exceptions that need individual treatment. For publishing workflows, also check descriptive alternative text, rights, consent, naming conventions, backup policy, and cache behavior. These steps make a repeatable batch safer than treating every completed download as automatically ready for production.
คำถามที่พบบ่อย
Practical answers about formats, privacy, quality, and browser behavior.
Can I crop several images to the same aspect ratio?
Yes. Ratio mode calculates the largest matching rectangle inside each image and applies the selected anchor independently.
Does batch cropping resize my images?
No. It removes pixels outside the crop rectangle. Use a resize tool afterward when exact output dimensions are also required.
What happens when coordinates exceed an image?
The rectangle is clamped at valid edges. A rectangle completely outside an image fails only that queue item.
ความโปร่งใสจะยังคงอยู่หรือไม่?
PNG output can preserve decoded alpha. JPEG cannot, and other formats depend on browser encoding support.
Are EXIF and camera details retained?
Usually not. Canvas re-encoding creates new files from decoded pixels and omits most source metadata.
Are images uploaded to ImageConver?
No. Selection, decoding, cropping, verification, ZIP creation, and download happen in the current browser.
Why might one item fail while others finish?
A damaged, unsupported, oversized, or out-of-range source is isolated so valid files can still complete.