- AI model trainers & researchers: preparing LoRA models who need well-captioned image datasets.
- Digital artists & Stable Diffusion/ ComfyUI users: building style or concept LoRAs.
- Dataset curators: who need consistency in tags/captions for improved training results.
- Hobbyists: experimenting with custom LoRA training but want faster dataset prep.
- AI developers & ML engineers: who want to reduce manual overhead in dataset labeling.
How to Use It?
- Upload Your Image Batch: Bring in many images at once.
- Set Caption Detail Level: Choose how detailed your captions should be (simple tags vs full descriptive metadata).
- Automate Captioning: The tool processes in batches, assigning captions and labels.
- Review & Adjust: Make manual corrections or edits if needed.
- Export Dataset: Download the images with their captions/metadata in the required format for your LoRA training pipeline.
- Batch Caption Automations: Huge timesaver vs manual tagging.
- Customizable Detail Levels: Lets you control how much info each caption carries (e.g. minimal vs rich) to suit different training needs.
- Focus on LoRA Training Readiness: Tailored specifically for the needs of image datasets used in LoRA fine-tuning.
- Simple UI & Workflow for Large Datasets: Designed to scale captioning work without requiring deep technical prompts for every image.
- Export and Filter Options: Lets you sort, edit, clean up dataset and export in formats compatible with model-training pipelines.
- Saves a lot of time for dataset prep.
- Customization of caption detail makes it flexible for both light and heavy dataset needs.
- Helps ensure more consistent and readable caption data, which improves model quality.
- Good for both novice and experienced users who need large image datasets.
- Exports ready for training workflows.
- Captions might still need manual checks; AI may mislabel or miss context for some images.
- Export formats or integrations might be limited depending on user tools.
- Highly detailed captions may introduce unwanted noise if overly verbose.
- For images with ambiguous content, consistency may suffer.
- Dataset cleaning or filtering still may be manual and time consuming.
Free
Free
- 10 images/month
Starter
$ 6.99
- 600 images/month
Professional
$ 10.99
- 1,200 images/month
Business
$ 24.99
- 3,000 images/month
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FAQs
A tool to automate labeling (captioning) of image datasets, especially for LoRA model training.
Yes—you can pick simpler tags or richer, more descriptive metadata.
Yes—it supports batch uploads and bulk captioning so you can process many images at once.
Possibly—while AI does most work, reviewing and editing may be needed for accuracy and consistency.
Images tagged with captions/metadata in formats suitable for LoRA training (depending on your export choices).
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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