A collection of lightning-fast, client-side tools for creative minds, meme lords, dataset crafters, and
productivity hackers.
All tools are client side only, so that means none of your images are sent to or processed on a
server. Your data stays safe!
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Automatically buckets your images into "Faces Detected" vs "No Faces Detected."
Want more flair? Enable emotion tagging and filter by 😡 angry, 😢 sad, 😊 happy, and more.
Perfect for organizing photo shoots, datasets, or just filtering selfies from screenshots.
Fix dull, off-balance, or inconsistent images with auto white balance, histogram normalization, and per-image tuning.
Drop a folder, adjust sliders, boom — beauty.
Ideal for dataset prep, batch editing, or rescuing old JPEGs.
Group together images that *look* the same — even if they're resized, compressed, or edited slightly.
Uses perceptual hashing and DCT magic to find near-duplicates.
Great for pruning training data, backups, or meme folders gone wild.
Automatically label your images with tags like 1girl, smile,
blue_eyes, and more using a WD14 ONNX model — all in your browser, no
server required.
Also a powerful tag manager: import your existing tags by just dropping in a .txt file
that matches the filename of an image. Search, sort, and edit tags live.
Whether you're prepping datasets for training or just organizing your waifu collection, this tool has you covered.
Imagine: You ripped a ton of images from a site. Now you want to organize the data set, or maybe prep it for a
LoRA training. You've got hundres of random images... where do you even start!?
First, take them to the Deduplicator - this can remove any images that are identical, or even slighly close to
eachother (such as different expressions).
Next up, you can use the Face Detection tool to remove remove any images that don't contain a face. You can use
basic emotion tagging here, to also sort and look for certain expressions / emotions.
After you've cleaned up your data set, you can use the color fixer to bulk edit the images to make sure the
images all look nice and crisp.
Finally, take your data set and drop them in the Auto-Tagger. Here you can run the images through a WD14 tagger
model to automatically generate tags for each image. If you already have tagged images you can drag the images
and their matching .txt files - this will load all the tags and you can search, sort, and organize
the images based on the tags. After you're done you can download a zip of the .txt tag files.