Speak AI transcribes Yoruba audio to text, routing your recording across multiple speech engines tuned for tone and diacritics, then hands you a searchable transcript with speaker labels and AI analysis. We build it with you.
Time to a live product, hours saved per file, and dollars saved. Same platform, very different applications.
A working session, not a sales pitch. No obligation.
A sermon, an interview, a focus group, a Nollywood scene. Whatever your team currently transcribes by hand or sends out.
Names, places, dialect words, and diacritics your team needs preserved. Your vocabulary, not a generic model.
Your own Yoruba audio, transcribed and analyzed on the spot, with a rollout plan for the rest of your library.
The same engine, pointed at the Yoruba recordings your team actually has.
Yoruba-language film and TV audio transcribed for subtitling, content indexing, and distribution across Nigerian and diaspora audiences.
Yoruba focus groups and customer interviews transcribed and translated, so research teams in Lagos and abroad can report faster.
Yoruba oral history projects, sociolinguistic studies, and language documentation transcribed with speaker labels and tone-mark accuracy.
Yoruba sermons and congregation recordings transcribed for archives, translation, and sharing with members who read English.
Community health interviews and program evaluations in Yoruba-speaking regions turned into structured, reportable transcripts.
Yoruba cultural associations and family archives preserving oral history for the next generation, in the UK, US, and beyond.
Yoruba is spoken by roughly 47 million people, mostly across southwestern Nigeria, and it carries a three-tone system where pitch changes a word’s meaning entirely: “igba” can mean garden, calabash, two hundred, or time depending on tone alone. Generic transcription tools built for English strip the subdots and tone marks (ẹ, ọ, ṣ) that carry that meaning, and they buckle on the dialectal range across Yorubaland, from Ijebu and Ekiti to Oyo and Egba. A transcript that drops the tone marks is not really a Yoruba transcript.
Speak AI routes your Yoruba recording across multiple speech engines and picks the one suited to your audio quality and terms, then reads the file the way a bilingual transcriber would: the words, the tone and pacing behind them, and the code-switching common in everyday Yorùbánglish. Speaker identification separates voices in interviews, sermons, and panel discussions, and AI summaries, keyword extraction, and sentiment analysis run on top of the transcript once it is clean. We would rather be upfront about the ceiling here: tonal accuracy still depends on recording quality and how strongly a speaker leans into a dialect, and we route to the best available engine rather than promise perfect tonal accuracy on every file.
Once the transcript lands, ask it questions with AI chat, and track themes and sentiment on dashboards you can customize and white-label, across months of recordings instead of one file at a time. An interpreting and language-services platform used this same three-layer reading, the words, the delivery, and eventually the visuals of a session, to scale multilingual assessment across languages including Yoruba, without adding headcount: read how Interpreting.com scaled multilingual assessment with embedded recorders and AI. And because a Yoruba recording rarely lives alone, the same engine is queryable from Claude, ChatGPT, and Cursor through the MCP server, so your transcripts sit inside the tools your team already works in.
A generic AI tool starts from zero. We shape the transcription routing, vocabulary, and terms around your Yoruba recordings, names, places, dialect words, and diacritics that matter to your team, then prime the workspace on your existing recordings so it is useful from the first file. You get a transcript you can act on, not a rough guess.
No terminal. No npm. No config. Speak AI’s MCP server gives any assistant 100+ tools to search, analyze, and act on your knowledge base in about 60 seconds. It is the same layer your applications run on, wired into the hundreds of apps in your stack through an integrations layer and a full developer API.
A generic AI tool locks you to one model and one engine. Speak AI picks the right model, speech engine, and language for each task, file type, and team, so your applications are never locked to a single vendor.
Claude, ChatGPT, and Gemini. Your choice per task, or bring your own key.
Transcription routed across multiple engines for your audio, accents, and terms.
Transcribe and translate in and out, for global and multilingual teams.
100+ MCP tools and an integrations layer that connects to hundreds of apps you already run.
Real feedback from teams using Speak AI for research, transcription, meetings, and client work.
Your first scorecard runs on a real recording during the consult. Team rollout takes days, not months, because we build it with you and prime it on your existing recordings.
Pooled usage, not per-seat, with no volume minimums. Pilots are credited in full. We scope pricing for your exact workflow on the call.
Speak AI handles 100+ languages, including conversations that switch language mid-sentence, and can translate in and out.
Yes. White-label deployments run on your own domain with your logo, including client platforms agencies resell, plus branded iOS and Android apps.
ChatGPT can attempt a rough pass on short clips, but it is not built for Yoruba’s tone system or diacritics, and it loses context on longer recordings. Speak AI routes Yoruba audio across dedicated speech engines, then layers AI chat, including ChatGPT, Claude, and Gemini, on top of the finished transcript.
Yes. Speak AI includes a free 7-day trial with credits for transcription, and more credits with a work email, no credit card required, so you can test Yoruba accuracy on your own recordings before committing.
Speak AI transcribes Yoruba audio and translates the transcript to English or 100+ other languages, with SRT/VTT export for subtitling. It is built for recordings, not live spoken conversation translation.
Google offers general transcription tools, but tone-sensitive languages like Yoruba need routing tuned to the language, not a one-size engine. Speak AI selects the speech engine per file and preserves the subdot diacritics generic tools often strip.
Enterprise builds support BAAs, custom data processing agreements, SSO, and data residency options. We share security documentation on request and scope each build to your requirements.
Book a free consult, bring a real Yoruba recording, and watch it transcribed and analyzed before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
English English 
Español
Français
Italiano
العربية
Português do Brasil
Nederlands
Deutsch
עִבְרִית
Русский
日本語
Polski
Čeština
Українська
Slovenščina
Svenska
Ελληνικά
Norsk bokmål
简体中文
Türkçe
Català
Magyar
한국어
Slovenčina
Suomi
