African Language AI

Voice AI built for Africa's languages

27%13.5%Swahili word error rate — halved through fine-tuning on local data

FiniFlow Labs trains, evaluates, and deploys speech AI systems grounded in African linguistic data. Our first system, SAUTI, delivers accurate Swahili speech recognition and natural voice synthesis through production APIs.

Voice samples

Our Mission

Every African language deserves a voice

Voice AI has transformed how people interact with technology — if they speak English. For the billion-plus speakers of African languages, the technology simply doesn't exist yet.

FiniFlow Labs is building voice AI from the ground up for African languages. Our APIs deliver natural text-to-speech, accurate speech recognition, and intelligent voice agents — engineered for the languages, accents, and infrastructure of the continent.

Kiswahili

200M+ speakers

Live

Hausa

150M+ speakers

In Development

Yoruba

50M+ speakers

In Development

Amharic

60M+ speakers

In Development

Products

Platform roadmap

All products

SAUTI TTS

v1.0 — Swahili

Live

Serves synthesized Swahili audio via a low-latency REST API with multiple voice options including voice cloning.

Model training100%
API integration100%
Voice cloning40%
Multi-speaker voices35%
Try it

SAUTI ASR

v1.0 — Swahili

Live

Swahili speech-to-text, fine-tuned for the way Swahili is actually spoken. Halved the error rate of multilingual baselines.

Fine-tuning100%
Evaluation (FLEURS)100%
API integration100%
Streaming decode30%
Try it

Earphone Translation

Beta — Real-time Earphone Translation

Beta

Real-time voice translation for English and Kiswahili conversations. Powered by a streaming pipeline that captures speech, translates it, and speaks it back through earphones.

ASR integration100%
Machine translation100%
TTS integration100%
Real-time streaming50%
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Voice Agent

Live — Demo Available

Live

Full Swahili voice agent: speak Swahili, get an AI response in Swahili. Combines ASR + LLM + TTS in a seamless pipeline.

ASR integration100%
LLM orchestration100%
TTS integration100%
Web demo100%
Streaming responses30%
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Voice Cloning

Beta

Beta

Zero-shot voice cloning from a short audio sample. Upload reference audio, get a personalised voice you can drive through the TTS API.

Speaker embedding extraction100%
Clone synthesis100%
API integration100%
Web demo100%
Persistence & sharing40%
Try it

Research

Grounded in African linguistic data

We build on open datasets and pretrained multilingual models, then apply targeted fine-tuning to close the performance gap between high-resource and African language voice AI systems. All model weights, training configs, and evaluation results are published openly.

View all research

Techniques

LoRA / QLoRA fine-tuningWhisper fine-tuningVITS fine-tuningPhoneme normalisationSynthetic data generationMimi neural codecWER evaluationSpeech-to-Speech modelsData augmentationMOS scoring

Latest Updates

From the lab

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