Transcribe Kurdish audio and video
v text you can act on.
Speak AI runs Kurdish AI voice transcription on every recording, in Kurmanji or Sorani, then translates it into English or 100+ other languages, with captions, exports, and structured insight built in. We build it with you.
The wins teams ship.
Time to a live product, hours saved per file, and dollars saved. Same platform, very different applications.
Legal tech company builds a white-label deposition platform, 8 months faster.
Global research agency launches a white-label qualitative research platform.
Legal intelligence firm processes 5,100+ hours of carrier calls, 95% faster.
Healthcare consulting firm cut session processing from 8 hours to 0.3.
E-commerce manufacturer centralizes call review and cuts it by 85%.
Recruiting firm cuts candidate report time from 5 hours to 10 minutes.
Bring your Kurdish recording. Leave with it transcribed.
A working session, not a sales pitch. No obligation.
You bring a real Kurdish file
An interview, a monitored broadcast, a field recording, a legal or intake conversation. Whatever you review by hand today.
We set your language and terms
Kurmanji or Sorani, your names, places, and vocabulary. Your words, your terms, not a generic dictionary.
You see it transcribed, live
Your own Kurdish recording, transcribed and translated on the call, with a rollout plan for the whole team.
Kurdish transcription for every kind of team.
The same engine, pointed at the Kurdish audio and video your team actually works with.
Media monitoring teams
Kurdish-language broadcasts and clips transcribed and searchable, so a mention is a query, not a re-watch.
Research and academia
Kurdish interviews, focus groups, and oral histories transcribed and coded against your framework, preserved for citation.
NGOs and diaspora organizations
Community meetings and field reports in Kurdish captured once and shared in the languages your stakeholders read.
Journalists
Kurdish-language interviews and source recordings transcribed fast, with quotes you can trust before deadline.
Localization teams
Kurdish source audio transcribed and translated as a first pass, ready for review instead of starting from silence.
Legal and immigration interviews
Kurdish-language interviews transcribed with timestamps and speaker labels, ready for case files and review.
A different approach to Kurdish transcription.
Kurdish is spoken by roughly 20 to 30 million people across Turkey, Iraq, Iran, and Syria, with sizeable diaspora communities in Germany, Sweden, and the Netherlands. The two dialects a transcription tool actually needs to handle are Kurmanji and Sorani, which differ enough in vocabulary and script that a model trained mainly on one struggles with the other. Global teams, media monitors, researchers, and diaspora organizations have used automatic transcription for years to turn Kurdish recordings into text they can search, cite, and act on.
Why Kurdish audio gets flattened in generic tools
Most transcription tools treat every language as an afterthought bolted onto an English-first engine. A Kurdish interview goes in and a transcript with garbled names, missing dialect markers, and no sense of who was speaking comes out. Someone still has to sit with the recording, correct the names of people and places, and manually translate anything that needs to travel beyond the room it was recorded in. For a researcher, journalist, or NGO working across Kurmanji and Sorani source material, that manual pass eats the time the transcript was supposed to save.
Reading the recording, not just the dialect
Speak AI is built to read three layers of a Kurdish recording, not one. The words are transcribed in Kurdish, with 100+ other languages supported, and translated in and out of Kurdish so a transcript can travel to an English-reading team without a separate translation step. The voice itself, tone, emotion, and energy, is analyzed alongside the words, and for video files the visual context is captured too. Recognition is routed across multiple speech engines rather than locked to one, and accuracy improves further once your names, places, and terms are added, instead of staying fixed at a generic dictionary.
What a Kurdish workflow actually needs
- Upload Kurdish MP3, MP4, WAV, and most other audio or video formats, or drop in a public URL, a Zoom recording, or a YouTube link.
- Select Kurdish from the language menu and the file transcribes in Kurmanji or Sorani, with speaker labels and timestamps.
- Generate SRT and VTT captions and subtitles directly from the timestamped transcript, ready for Kurdish-language video.
- Translate the finished transcript into English, or into any of the 100+ other supported languages, for a team that does not read Kurdish.
- Export to Word, PDF, TXT, HTML, CSV, or JSON, or ask AI chat questions across your entire Kurdish media library.
From a folder of recordings to a searchable Kurdish archive
The result is a Kurdish media library instead of a folder of files one person can navigate from memory. Interviews, broadcasts, and field recordings become searchable text with translation on demand, and dashboards you can customize and white-label track themes and mentions over time, so this quarter's coverage or research is measured against last quarter's. Interpreting.com, the education pioneer scaling multilingual assessment with embedded recorders, runs this same capture-and-translate approach across its language programs, proof that a multilingual workflow built for one underserved language holds up across many.
And because Kurdish recordings rarely stand alone, the same knowledge base is queryable from Claude, ChatGPT, and Cursor through the MCP server, so a researcher or reporter can ask across every Kurdish transcript in the library instead of opening files one at a time.
Engineered with you, accurate from day one.
A generic AI tool starts from zero on Kurdish. We set the dialect, names, places, and terms your recordings actually use, then prime the application on your existing Kurdish files so it is useful from the first upload. You get a translated, searchable transcript back, not just raw text.
- We design the context, terms, and scoring around your Kurdish workflow, not a generic dictionary.
- Your historical Kurdish recordings and transcripts prime the baza znanja before go-live.
- Translated, structured data on every recording, queryable from Claude, ChatGPT, and Cursor through the MCP server.
Bring your applications into Claude, ChatGPT, and Cursor.
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.
One platform. Not one model.
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.
Multi-model
Claude, ChatGPT, and Gemini. Your choice per task, or bring your own key.
Multi-engine
Transcription routed across multiple engines for your audio, accents, and terms.
Več kot 100 jezikov
Transcribe and translate in and out, for global and multilingual teams.
MCP, API & integrations
100+ MCP tools and an integrations layer that connects to hundreds of apps you already run.
Teams build on Speak AI.
Real feedback from teams using Speak AI for research, transcription, meetings, and client work.
Questions we get
Your first Kurdish transcript 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.
Yes, with a caveat worth being upfront about: recognition is routed across multiple speech engines rather than locked to one, and it improves further once your names, places, and terms are added. It is not dialect-perfect out of the box for every recording, but it gets more accurate as you use it.
Yes. Both are supported as Kurdish transcription options, alongside 100+ other languages. Select Kurdish from the language menu when you upload, and the engine transcribes in your dialect.
Yes. Once a Kurdish recording is transcribed, you can translate the transcript in and out of Kurdish and into any of the 100+ other supported languages, ready to export or share.
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.
From a folder of Kurdish recordings to a searchable archive.
Book a free consult, bring a real Kurdish recording, and watch it transcribed, translated, and captioned before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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