Consistent crops
Apply one crop and composition workflow across a full batch of training images.
FLUX Dataset Builder
Prepare consistent image datasets for FLUX.
Standardize image dimensions and composition, create matching Caption TXT files, and export a clean dataset ZIP directly from your browser.
Free · No account · Local processing · Images + Caption TXT in ZIP
Matching Caption TXT
Create one text file per image using your own reusable caption template.
Private by design
Your images stay on your device while SwiftCrop processes and packages the dataset.
A faster FLUX dataset workflow
Go from an unorganized image folder to a consistent export in three steps.
1. Add images
Drop JPEG, PNG or WebP files into SwiftCrop and review the batch.
2. Set dataset options
Choose size, format, filename pattern, Dataset Name and Caption Template.
3. Export the ZIP
Download processed images with optional matching Caption TXT files.
Built for FLUX fine-tuning and dataset preparation
- Batch image resizing and cropping
- Portrait-aware composition adjustment
- Sequential, consistent filenames
- Image and Caption TXT pairs in one ZIP
Flexible output sizes
Use square or custom resolutions to match the requirements of your training workflow.
SwiftCrop prepares files only; you remain in control of the training configuration and caption content.
Explore the AI Creator Hub
Prepare datasets for other popular image-generation workflows.
FLUX dataset FAQ
Does SwiftCrop train FLUX models?
No. SwiftCrop prepares image and TXT files for your dataset; model training happens in your preferred training tool.
Does SwiftCrop upload my images?
No. Cropping, resizing and ZIP generation happen locally in your browser.
Can I export captions with the images?
Yes. Enable the AI training option and choose ZIP export to include matching Caption TXT files.