What is LoraTag?
LoraTag is an intelligent dataset preparation tool designed for AI artists and developers. It solves the tedious and time-consuming problem of manually captioning images for LoRA training by using AI to generate detailed, accurate, and consistent tags in seconds. If you're tired of spending hours on data prep, LoraTag is built to streamline your entire workflow.
Key Features
🗂️ Process Datasets in Bulk Upload up to 100 images at once and let the AI handle the rest. This batch processing capability turns hours of manual captioning into a task that takes just a few minutes, dramatically accelerating your project timelines.
🎯 Optimize for Specific LoRA Types LoraTag isn't a generic captioner. It provides optimized prompts specifically for Character, Style, Object, and Concept LoRAs, ensuring the generated tags are relevant and effective for your specific training goal.
📊 Control Caption Detail with Quality Levels You have full control over the level of detail in your captions. Choose from multiple quality levels—from quick drafts to exhaustive descriptions—to perfectly match the needs of your project, whether you're experimenting or building a production-ready model.
⚙️ Get Training-Ready Files Instantly Once your captions are generated, you can download a perfectly organized dataset. LoraTag provides .txt files correctly paired with your images and offers flexible export options to fit seamlessly into any training workflow.
Use Cases
1. Training a Consistent Character LoRA Imagine you're creating a LoRA for a specific character. Manually tagging every image with the same hair color, eye color, and clothing style is repetitive and prone to error. With LoraTag, you can batch-process all your images to ensure every instance of "long brown hair" or "red knit sweater" is tagged consistently, leading to a more accurate and reliable final model.
2. Developing a Unique Artistic Style LoRA When training a LoRA to replicate an artistic style, capturing nuances like "soft lighting," "vibrant colors," or "minimalistic setting" is critical. LoraTag’s AI analyzes the aesthetic qualities of your images, generating descriptive tags that help your model learn the specific visual style you want to achieve, without you needing to manually identify and type out every detail.
Why Choose LoraTag?
The primary advantage of LoraTag is its ability to directly replace the most inefficient part of the LoRA creation process with an intelligent, automated solution.
| Manual Captioning (The Old Way) | LoraTag (The Smart Way) |
|---|---|
| ✗ Takes 5-10 minutes per image | ✓ Generates captions in seconds |
| ✗ Inconsistent quality and missed details | ✓ Ensures consistent, high-quality tags |
| ✗ Tedious and prone to burnout | ✓ Automates the entire process |
| ✗ Requires manual file organization | ✓ Delivers organized, training-ready datasets |
By leveraging OpenAI Vision, LoraTag doesn't just make the process faster—it produces a higher-quality, more consistent dataset, which is the foundation of any great LoRA.
Conclusion
LoraTag is a purpose-built tool that gives you back your most valuable resource: time. By automating the creation of detailed and consistent image captions, it allows you to focus on the creative aspects of building and refining your AI models. Move from tedious data preparation to efficient model training.
Explore how LoraTag can enhance your LoRA creation workflow today!
More information on LoraTag
Launched
2025-06
Pricing Model
Freemium
Starting Price
$6.99/month
Global Rank
Follow
Month Visit
<5k
Tech used
LoraTag was manually vetted by our editorial team and was first featured on 2025-08-17.
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