Text Intelligence for African Speech & Documents

Summarize conversational transcripts, redact sensitive PII, and extract structured insights across regional contexts.

Grounded summarization, PII redaction and structured entity intelligence

African and global languages supported

15+

Standardized PII entity types and compliance masks

See text intelligence in action

SampleTask

Transcript351 characters

Good morning, my name is Amina Bello. I am calling from Ikeja regarding account number 2049187311. Yesterday morning, I made an instant transfer of NGN 65,000 to my supplier, but the funds have not been received. My BVN is 22184930192 and my phone number is 08034928172. Please verify the transaction ID and send the update to amina.bello@example.com.

Result

Customer Amina Bello reported an uncredited instant transfer of NGN 65,000 sent to a supplier. The agent logged the transaction trace and escalated the issue to interbank settlement for resolution within 2 hours.

Built for transcripts that need action.

Turn raw speech records into actionable customer intelligence, compliant audit trails, and automated summaries.

Customer Support QA

Turn long support conversations into structured call records.

Inbound customer call transcript

Customer called reporting that their debit card was retained at an ATM in Victoria Island. Agent assisted with card lock and scheduled a replacement delivery within 48 hours.

Structured call record & action items

Topic: Retained ATM Card · Resolution: Card Blocked & Re-issued · Delivery: 48h SLA · Action: Escalate replacement ticket to logistics dispatch.

Nineteen languages. Specialized domains.

Pre-trained on regional multilingual code-switching and tuned for African enterprise workflows.

Supported languages

19 languages

Specialized domains

8 domains

Compact integration for text pipelines.

Integrate summarization, PII redaction, and structured extraction into your backend with simple HTTP requests or background jobs.

summarize.js

const response = await fetch("https://api.orbitalsai.com/api/v1/text/summarize", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    text: "Customer called regarding delayed delivery of their debit card...",
    language: "English",
    style: "structured",
    domain: "banking"
  })
});

const summary = await response.json();
console.log(summary.result_structured);

Return structured, short, or detailed summaries in English from any supported input language.

Audio-linked pipelinesRun summarization and redaction directly against completed transcription jobs via source_audio_id

Domain fine-tunedHigh precision on African banking, telecom, and healthcare terminology

Deterministic schemas6-key validated JSON output matching backend Pydantic models

Start with one transcript.

Create the outputs your team needs, then connect the workflow to your product.

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