The Audio Intelligence API for Ethiopian Languages

Integrate enterprise speech-to-text, speaker diarization, and semantic audio search into your software with simple REST and WebSocket endpoints. Purpose-built for Amharic, Afaan Oromo, and Tigrinya.

45 free minutes on signup · Telebirr & CBE Birr supported · Instant export to DOCX, SRT, VTT & JSON

API Streaming Response Example: POST /v1/transcriptions

JSON Payload (Amharic & English) • REST API Output • 00:45

SRT • VTT • DOCX
00:00
00:45
Request: audio_urlActive Speaker
HTTP POST

curl -X POST https://api.andebetai.com/v1/transcribe -H 'Authorization: Bearer ANDEBET_KEY'

“curl -X POST https://api.andebetai.com/v1/transcribe -H 'Authorization: Bearer ANDEBET_KEY'”

Response: transcript_segments
200 OK (1.2s)

{"language":"am","confidence":0.982,"text":"የኢትዮጵያ ንግድ ባንክ የዲጂታል አገልግሎቶች..."}

“{"language":"am","confidence":0.982,"text":"Commercial Bank of Ethiopia digital services..."}”

Low Latency
Streaming Engine
99.9%
API Uptime SLA
3 SDKs
Python, TS, cURL
45 mins
Free Audio Included
Core Architecture

Built for Scalable Engineering Pipelines

Everything developers need to build production voice interfaces, call center analytics, and qualitative search applications.

Zero Polling Required

Asynchronous Batch & Webhooks

Submit long audio recordings up to 2GB asynchronously and receive secure webhook notifications when transcripts are ready.

Real-Time Streaming

Low-Latency WebSocket Streaming

Stream raw PCM audio frames over WebSocket with optimized real-time delivery for live captions and conversational voice bots.

Word-Level Timestamps

Speaker Diarization Included

Every response includes millisecond start/end timestamps and assigned speaker labels with confidence scores per turn.

Claude & Agent Ready

Model Context Protocol (MCP)

Natively integrate audio search and transcript retrieval into Claude Desktop and AI agent frameworks using our official MCP server.

Workflow & Pipeline

How to Get Started with the API in 5 Minutes

From signup to your first audio transcription in under four commands.

01

Create Free API Key

Sign up and generate your secret API key from the developer portal. Every account includes 45 free minutes.

Instant key provisioning

02

Install Client Library

Install our official package via npm (npm i @andebet/sdk) or pip (pip install andebet) or use standard cURL requests.

Python & TypeScript SDKs

03

Submit Audio File

Send audio via HTTP POST with parameters for language selection, diarization, and optional English translation.

Simple 10-line integration

04

Receive Structured JSON

Consume structured transcripts with word-level timestamps, speaker IDs, and confidence scores in your application.

Standard JSON response

Audiences & Impact

Developer Use Cases

Powering products across fintech, media, education, and enterprise SaaS.

Telecom & Banking IVR Bots

Fintech, banks, telecom providers

Enable voice-driven interactive phone menus in Amharic and Afaan Oromo for balance checks and transfer confirmations.

Field Example: Integrated into mobile banking IVR serving 200,000 monthly voice queries.

Media Subtitling Pipelines

Broadcasters, video platforms, YouTube automation

Automatically generate synchronized SRT/VTT subtitle files for Horn of Africa video broadcasts.

Field Example: Automated daily news broadcast captioning workflow with 98% accuracy.

Call Center Quality Assurance

Support teams, customer care centers

Transcribe and analyze thousands of customer service calls to track resolution time and detect user frustration.

Field Example: Indexed 10,000 customer support calls for automated sentiment and topic analysis.

AI Agent Tools & Search

AI startups, autonomous agent developers

Equip LLM agents with real-time access to audio transcripts and semantic audio retrieval tools.

Field Example: Connected Claude Desktop to an archive of 150 fieldwork recordings via MCP.
Search & Guidance

Frequently Asked Questions: Audio Intelligence API

Pricing, throughput limits, SDKs, and data privacy.

For batch processing via POST /v1/transcribe, a 1-hour audio file is typically processed in under 2 minutes. For live applications, our WebSocket streaming interface is engineered for low-latency delivery from spoken speech to Ge'ez fidel text.

We support WAV, MP3, M4A, AAC, FLAC, OGG, WebM, and MP4 containers. Audio is automatically normalized and resampled by our processing pipeline.

Starter tiers include 10 concurrent requests and 60 requests/minute. Commercial and Enterprise tiers support thousands of concurrent audio streams with a 99.9% uptime SLA.

Yes, 100%. We enforce strict data sovereignty: customer audio is encrypted in transit and at rest, and we never train public models on your API payloads.

Turn recorded Ethiopian conversations into searchable truth.

Join researchers, media networks, and global organizations extracting structured knowledge from Amharic, Afaan Oromo, and Tigrinya audio.

  • 45 free minutes included
  • No credit card required
  • Instant API & Workspace access
  • Enterprise data sovereignty