Build on Labelf.

Labelf exposes a comprehensive REST API for classification, model management, semantic search, dashboards, and data pipelines. Everything the platform does, the API does — classify a single utterance, score every interaction in a contact center, or feed real-time churn signals into your CRM.

Classification Levels

Customer interactions are not flat. A single phone call contains dozens of utterances, belongs to an errand that may span multiple channels, and sits within the full history of a customer relationship. Labelf classifies at every level — giving you the resolution you need, from individual statements to organization-wide patterns.

The same /inference endpoint handles all levels. The difference is what text you pass — a single utterance, a full transcript, or a concatenated case history. Your models learn from whichever level you train on.

Language Support

The same endpoint handles 100+ languages without configuration. No language parameter is needed — detection is automatic. Train a model on English examples and it generalizes across languages. Or train on mixed-language data from your actual contact center.

{
  "texts": ["Jag vill säga upp mitt abonnemang"]
}

{
  "predictions": [
    { "label": "Cancellation", "confidence": 0.92 }
  ],
  "text_language": "sv",
  "processing_time_ms": 41
}

Labels are always returned in the language they were defined in during training. A Swedish customer saying "Jag vill säga upp mitt abonnemang" returns the same Cancellation label as an English customer saying "I want to cancel my subscription."

Quick Start

Classify your first text in under 5 minutes. Get an API key from your Labelf dashboard, then:

curl -X POST https://api.labelf.ai/v2/models/42/inference \
  -H "Authorization: Bearer $LABELF_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"texts": ["I want to cancel my subscription"]}'

import requests

response = requests.post(
    "https://api.labelf.ai/v2/models/42/inference",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={"texts": ["I want to cancel my subscription"]}
)
print(response.json())

const res = await fetch("https://api.labelf.ai/v2/models/42/inference", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.LABELF_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ texts: ["I want to cancel my subscription"] }),
});
const data = await res.json();

Response:

{
  "predictions": [
    { "label": "Cancellation", "confidence": 0.94 },
    { "label": "Billing Issue", "confidence": 0.03 },
    { "label": "Technical Support", "confidence": 0.02 }
  ],
  "model_id": 42,
  "text_language": "en",
  "processing_time_ms": 38
}

Next Steps