categorAIze
CategorAIze.io is an AI-driven system that enables the organization of texts, URLs, images, and documents into categories based on their co...
Last verified:
What is categorAIze?
Categoraize is an AI-powered data categorization platform that organizes texts, URLs, images, and documents into categories using cutting-edge Large Language Model (LLM) technologies. The tool allows users to define their own custom categories—including multi-level hierarchical structures—or let the AI automatically generate an appropriate hierarchical category list when predefined categories are unknown. No pretraining data is required, as the LLM automatically assigns entries based on their content.
Key features include custom category definition without relying on predefined lists, optional automated category generation where AI creates categories based on user-specified maximum numbers per hierarchy level, multi-level hierarchies with subcategories multiple levels down, and both text and image-based categorization supporting text-only, image-only, or combined approaches. Users can access the platform via a browser-based UI or REST API to create, read, or delete items and categories, with plugin requests available for specific use cases through the support team.
Categoraize is designed for researchers, analysts, businesses, and teams who need to label, categorize, and analyze data at scale without investing time in training data preparation. It serves anyone looking to improve data navigation, searchability, and overall management efficiency by organizing information into structured hierarchical categories. The platform integrates seamlessly into various workflows to increase productivity and reduce manual sorting work.
The tool emphasizes accuracy and data security, following industry standards and using trusted secure cloud service providers for data storage. It offers flexible pay-as-you-go pricing for AI calls combined with tiered storage plans, making it affordable for individuals while also providing enterprise solutions with custom deployment options, dedicated models, and service level agreements for business needs.
categorAIze pricing
Pricing model: Paid
Categoraize uses a pay-as-you-go credit system for LLM AI calls with a refundable $5 starting credit. Users set their maximum price per categorization event. Two LLM levels available: Basic at $0.003 per 1000 tokens (no image support, max $0.0025 per event using up to ~2,700 tokens/~1,800 words) and Cutting-edge at $0.06 per 1000 tokens ($0.006 per image, max $0.025 per event using up to ~1,000 tokens/~700 words or ~10 images). Storage plans: Free tier (up to 24-hour storage, requires data export); $9.95/month (750 items, 1 GB); $49.95/month (5,000 items, 10 GB); $149.95/month (20,000 items, 40 GB). Multiple storage plans can be combined. Enterprise solutions include custom deployment (on-premises or dedicated cloud), customized LLM prompts, dedicated/self-hosted models, no additional token costs, and SLA guarantees.
categorAIze pros
- No pretraining data required for categorization
- Custom categories can be defined exactly as needed
- Supports multi-level hierarchical category structures
- AI can automatically generate categories when unknown
- Categorizes text, images, or both combined
- Browser-based UI for easy access
- REST API available for integration
- Plugins available for custom use cases
- Pay-as-you-go credit system for AI calls
- Set maximum price per categorization event
- Multiple storage plans that can be combined
- Refundable $5 starting credit available
- Enterprise custom deployment options included
- Customized LLM prompts for specific use cases
- Dedicated and self-hosted model options available
- No additional token costs for enterprise plans
- Data security follows industry standards
- Uses trusted secure cloud service providers
categorAIze cons
- Basic tier does not support image categorization
- Free tier requires data export within 24 hours
- Free tier has limited 24-hour storage only
- Cutting-edge tier costs 20x more per token than Basic
- Storage plans may need combination for larger needs
- Plugin requests require contact with support team
- Custom prompts require enterprise-level engagement
- Self-hosted models require own server infrastructure
- Token usage limits per event may restrict large items
Frequently asked questions about categorAIze
Do I need training data to use Categoraize?
No, Categoraize does not require any pretraining data. The platform relies on cutting-edge LLM technologies to automatically assign entries to categories based on their content without any need for you to prepare or commit training data upfront.
Can I define my own custom categories?
Yes, you can define exact custom categories that you need, whether two or many more. You do not need to rely on a predefined list of categories. Custom categories can also be arranged hierarchically if needed, with subcategories multiple levels down.
What if I don't know my predefined categories?
If predefined categories are not known, you can let the LLM AI come up with an appropriate, hierarchical list of categories for you. You can specify the maximum number of categories per hierarchy level to arrange and rearrange category hierarchy as you add items.
What types of data can Categoraize categorize?
Categoraize can categorize texts, URLs, images, and documents. You can use only text, only images, or both text and images together for categorization depending on your needs.
How do I access Categoraize?
You can access Categoraize via a browser-based UI or through a REST API. The API allows you to create, read, or delete items and categories. Additionally, you can request plugins for your specific use case from the support team.
What is the pricing model for AI calls?
Categoraize uses a pay-as-you-go credit system for large language model calls. You top up as per your needs starting with a refundable $5 credit. You set your maximum price per categorization event, which determines how large a part of your item's data will be used for categorization.
What storage plans are available?
Storage plans include: Free tier with up to 24-hour storage (requires data export); $9.95/month for 750 items and 1 GB; $49.95/month for 5,000 items and 10 GB; and $149.95/month for 20,000 items and 40 GB. Multiple storage plans can be combined as per your needs.
What enterprise solutions does Categoraize offer?
Enterprise solutions include custom deployment options (on-premises hosting or dedicated cloud servers on your infrastructure or cloud provider of your choice), customized LLM prompts fine-tuned for your use cases, dedicated and self-hosted models hosted on your servers, no additional token costs, and a Service Level Agreement (SLA) for guaranteed service quality and uptime.
How does Categoraize handle data security?
Categoraize takes data security seriously and follows all the latest industry rules and standards to ensure your data stays safe. When storing data, the platform only uses trusted, secure cloud service providers.
What are the differences between Basic and Cutting-edge LLM levels?
Basic level costs $0.003 per 1000 tokens, does not support images, and has a recommended maximum cost of $0.0025 per event using up to ~2,700 tokens or ~1,800 words from each item/category list. Cutting-edge level costs $0.06 per 1000 tokens ($0.006 per image), has a recommended maximum cost of $0.025 per event, and supports up to ~1,000 tokens/~700 words or up to ~10 images from each item/category list.