9jaLingo Python SDK

🇳🇬 The Official Python SDK for 9jaLingo — AI-Powered Text-to-Speech for African Languages

9jaLingo is the first AI speech platform built specifically for African languages. This SDK provides a simple, Pythonic interface to the 9jaLingo TTS API, enabling developers to generate natural-sounding speech in Hausa, Igbo, Yoruba, and Nigerian Pidgin with over 240+ speaker voices.

Whether you're building voice assistants, accessibility tools, e-learning platforms, audiobook generators, or any application that needs high-quality African language speech synthesis — 9jaLingo has you covered.

Key Features

• 🗣️ Text-to-Speech — Convert text to natural speech in 4 Nigerian languages
• 🎭 240+ Speaker Voices — Choose from a diverse library of male and female voices
• 🔊 Voice Cloning — Clone any voice from a short reference audio sample (WAV, MP3, M4A, etc.)
• 🎧 Multi-Format Output — Export speech natively to WAV, PCM, MP3, FLAC, AAC, ALAC, or OGG
• 📡 Streaming — Stream audio chunks as they're generated for real-time playback
• ⚡ Long-Form Generation — Automatically handles long texts with intelligent chunking
• 🤖 OpenAI-Compatible — Drop-in replacement for OpenAI TTS with Nigerian language support
• 🐍 Python 3.11+ — Modern Python with full type hints

Installation

pip install naijalingo

Quick Start

from naijalingo import NaijaLingo

client = NaijaLingo(api_key="nl-...")

# voice/speaker = speaker ID · lang/language = language code
audio = client.tts.generate(
    "Bawo ni, I dey greet you!",
    voice="adeola_yo",
    lang="yo",
)
audio.save("greeting.wav")

Or set your API key as an environment variable:

export NAIJALINGO_API_KEY="nl-..."

from naijalingo import NaijaLingo

client = NaijaLingo()  # picks up NAIJALINGO_API_KEY from env
audio = client.tts.generate("Sannu da zuwa!", speaker="aisha_ha", language="ha")
audio.save("output.wav")

Important: For generate and stream:

• voice / speaker = speaker ID (e.g. ada_pcm, adaeze_ig)
• lang / language = language code (ha, ig, yo, pcm)

Do not pass language codes as voice. Use list_speakers(language="pcm") to discover speaker IDs. Voice cloning is different: clone(..., voice="ig") still takes a language code (sent as API lang).

API Reference

Speech-to-Text

transcript = client.stt.transcribe(
    "https://cdn.example.com/pidgin-sample.wav",
    language="pcm",
)
print(transcript.text, transcript.language, transcript.duration)

The audio URL must be publicly reachable and your API key must have the stt scope. Supported language hints are yo, ha, ig, pcm, and en.

Text-to-Speech

from naijalingo import NaijaLingo

client = NaijaLingo(api_key="nl-...")

# Basic generation (returns WAV) — voice/speaker = speaker ID, lang = language
audio = client.tts.generate("How you dey?", voice="ada_pcm", lang="pcm")
audio.save("output.wav")

# speaker= is an alias for voice= (takes precedence when both are set)
audio = client.tts.generate(
    "Nnoo, kedu ka i mere?",
    speaker="adaeze_ig",
    language="ig",
)
audio.save("adaeze_greeting.wav")

# Raw PCM format
audio = client.tts.generate(
    "Hello!", voice="ada_pcm", lang="pcm", response_format="pcm"
)
pcm_bytes = audio.content  # raw 16-bit signed LE, 22050 Hz mono

# Export directly to compressed formats like MP3 or FLAC
audio = client.tts.generate(
    "Make we test compressed audio.",
    voice="ada_pcm",
    lang="pcm",
    response_format="mp3",
)
audio.save("output.mp3")

# Adjust generation parameters
audio = client.tts.generate(
    "Na so life be sometimes.",
    voice="ada_pcm",
    lang="pcm",
    temperature=0.8,
    top_p=0.9,
    repetition_penalty=1.2,
)

Streaming

For long texts, stream audio chunks as they're generated:

# Stream to a file
with open("long_speech.wav", "wb") as f:
    for chunk in client.tts.stream(
        "Very long text here...", speaker="ada_pcm", lang="pcm"
    ):
        f.write(chunk)

# Or collect the full stream
long_text = """
        Life na one kind journey wey nobody fit fully understand. From the day person open eye for this world, the journey don start.
        Some people go say life na race, some go say na school, others go talk say na battle. But the truth be say life na mixture of many things together. E get sweet time, e get bitter time, e get time wey everything go dey move smooth like fresh engine, and e get time wey everywhere go just scatter like market wey rain beat.
        """
stream = client.tts.stream(long_text, lang="pcm", speaker="ada_pcm")
audio = stream.collect()
audio.save("long_speech.wav")

Voice Cloning

Clone a voice from a reference audio file. Here voice is a language code (ha / ig / yo / pcm), not a speaker ID:

audio = client.tts.clone(
    "Kedu ka i mere?",
    audio_file="reference_voice.mp3", # Natively supports MP3, M4A, FLAC, OGG, etc.
    voice="ig",
    response_format="mp3"
)
audio.save("cloned.mp3")

# Reuse the persisted clone as either voice or speaker.
audio = client.tts.generate(
    "Nnoo, kedu ka i mere?",
    voice=audio.voice_id,
)
audio.save("cloned_voice_greeting.wav")

# Permanently delete the cloned voice when consent is withdrawn.
client.tts.delete_voice(audio.voice_id)

# From a file-like object
with open("reference.wav", "rb") as f:
    audio = client.tts.clone("Hello!", audio_file=f, voice="pcm")

Speakers

# List all speakers
speakers = client.tts.list_speakers()
for s in speakers:
    print(f"{s.id} — {s.language} ({s.gender})")

# Filter by language code
yoruba_speakers = client.tts.list_speakers(language="yo")

# Get a specific speaker
speaker = client.tts.get_speaker("ada_pcm")
print(speaker.name, speaker.language)

Languages

langs = client.tts.list_languages()
for lang in langs.languages:
    print(f"{lang.code}: {lang.name}")
# ha: Hausa
# ig: Igbo
# yo: Yoruba
# pcm: Pidgin

Models

models = client.list_models()
for model in models:
    print(f"{model.id} — owned by {model.owned_by}")

API Info

# Get root API information
info = client.api_info()
print(info.name)        # "9jaLingo TTS API"
print(info.version)     # "1.0.0"
print(info.endpoints)   # dict of all available endpoints

# Get v1 service metadata
service = client.service_info()
print(service.name)             # "9jaLingo API v1"
print(service.speech_url)       # "/v1/audio/speech"
print(service.models_url)       # "/v1/models"

Health Check

status = client.tts.health()
print(status.status)            # "healthy"
print(status.speakers_loaded)   # 240

Supported Languages

Language codes (ha, ig, yo, pcm) are used to filter speakers and for voice cloning. They are not valid voice values for generate / stream.

Error Handling

from naijalingo import (
    NaijaLingo,
    AuthenticationError,
    InvalidRequestError,
    NotFoundError,
    ServerError,
)

client = NaijaLingo(api_key="nl-...")

try:
    audio = client.tts.generate("Hello!", voice="nonexistent_speaker")
except AuthenticationError:
    print("Invalid API key")
except NotFoundError as e:
    print(f"Speaker not found: {e.message}")
except InvalidRequestError as e:
    print(f"Check the request or public audio URL: {e.message}")
except ServerError:
    print("Server error — try again later")
except ValueError as e:
    # Raised locally if you pass a language code as voice, e.g. voice="pcm"
    print(e)

STT raises InvalidRequestError (HTTP 400/413/415/422) for invalid input, unsupported audio formats, oversized files, or inaccessible audio URLs. Transient audio-host or inference failures raise ServerError or InferenceCapacityError.

Configuration

Context Manager

with NaijaLingo(api_key="nl-...") as client:
    audio = client.tts.generate("Bawo ni!", voice="adeola_yo", lang="yo")
    audio.save("output.wav")
# Connection pool is automatically closed

Links

• 🌐 Website: www.9jalingo.org
• 📚 API Docs: www.9jalingo.org/api-documentation
• 💬 Support: support@9jalingo.org