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All Use Cases

Text Classification

Transform unstructured text into actionable categories. Define your classification schema, and ShapeShyft ensures every response matches your exact requirements.

How It Works

1

Define Your Schema

Specify exactly what classifications you need—categories, confidence scores, multiple labels, or nested structures.

2

Send Your Text

Call the ShapeShyft API with your text. We route it to your chosen LLM with optimized prompting.

3

Get Validated Output

Receive JSON that matches your schema exactly—guaranteed. No parsing errors, no unexpected formats.

Example: Customer Feedback Classification

Your JSON Schema

{
  "type": "object",
  "properties": {
    "sentiment": {
      "type": "string",
      "enum": ["positive", "negative", "neutral"]
    },
    "confidence": {
      "type": "number",
      "minimum": 0,
      "maximum": 1
    },
    "topics": {
      "type": "array",
      "items": { "type": "string" }
    },
    "urgency": {
      "type": "string",
      "enum": ["low", "medium", "high", "critical"]
    }
  },
  "required": ["sentiment", "confidence"]
}

Guaranteed Output

{
  "sentiment": "negative",
  "confidence": 0.92,
  "topics": ["billing", "service-quality"],
  "urgency": "high"
}

Every response is validated against your schema before being returned. Invalid outputs are automatically retried.

Applications

Sentiment Analysis

Analyze customer feedback, reviews, and social media mentions to understand public perception. Get consistent sentiment scores that integrate directly into your analytics pipeline.

Product reviewsCustomer support ticketsSocial media monitoringSurvey responses

Intent Recognition

Understand what users want from their messages. Route inquiries to the right department, trigger automated workflows, or provide instant responses based on detected intent.

Chatbot routingEmail categorizationVoice assistant commandsSupport ticket triage

Topic Detection

Automatically tag content with relevant topics and categories. Perfect for content management, search optimization, and organizing large document collections.

News categorizationDocument taggingResearch paper classificationContent recommendation

Content Moderation

Flag inappropriate content, detect spam, and identify policy violations. Get structured classifications that enable automated moderation workflows.

User-generated contentComment sectionsForum postsProduct listings

Start Classifying Text Today

Create your first text classification endpoint in minutes. No ML expertise required.

🚀Performance Monitor

Web Vitals

LCPLargest Contentful Paint
2528ms
FIDFirst Input Delay
N/Ams
CLSCumulative Layout Shift
N/A
FCPFirst Contentful Paint
2112ms
TTFBTime to First Byte
27ms

Bundle Performance

JS Load
17292ms
CSS Load
73ms
JS Files
84
Transfer Size
6.2MB

Memory

Used Heap
26.3MB
Total Heap
31.6MB
Usage
1%
GoodNeeds ImprovementPoor