Choose your mic
için audio you can trust.
Speak AI reads whatever a microphone hands it: the words, the pace, and who is speaking, on every call and meeting. The best microphone for AI transcription is the one that gets a clean signal in, and the AI takes it from there. We build it with you.
Ekiplerin gönderdikleri başarılar.
Canlı ürüne ulaşma süresi, dosya başına tasarruf edilen saatler ve tasarruf edilen dolar. Aynı platform, çok farklı uygulamalar.
Hukuk teknolojisi şirketi, beyaz etiket bir depo platformu 8 ay daha hızlı oluşturdu.
Küresel araştırma ajansı, beyaz etiket niteliksel araştırma platformu başlattı.
Hukuk istihbarat firması 5.100+ saat operatör çağrısını daha hızlı işledi.
Sağlık danışmanlık firması oturum işlemesini 8 saatten 0.3’e düşürdü.
E-ticaret üreticisi çağrı incelemesini merkezileştirdi ve oranında düşürdü.
İşe alım firması aday raporu süresini 5 saatten 10 dakikaya düşürdü.
Bring your setup. Leave with a clean transcript.
Bir çalışma oturumu, satış konuşması değil. Zorunluluk yok.
You bring your setup
Your laptop mic, headset, conference room, or podcast rig. Whatever you record meetings and calls on today.
We check your capture chain
Mic choice, room acoustics, and platform settings, mapped against the transcription accuracy your team needs.
You see it transcribed, live
Your own recording, transcribed and scored on your own criteria, with a rollout plan for the whole team.
The right mic, matched to how your team meets.
Speak AI transcribes whatever you capture with, and reads better the cleaner the input is.
Remote sales calls
A USB condenser or a good headset mic keeps discovery calls and objections legible, so scoring and coaching read the actual words, not guesses.
Contact center desks
Noise-cancelling headsets cut hold-music bleed and cross-talk, so every support call transcribes cleanly enough to QA at 100%, not a 2% sample.
Conference rooms
A ceiling or tabletop array mic beats a laptop mic across a table, so hybrid meetings transcribe every voice, not just whoever sits closest.
Depositions & intake calls
A lavalier or dedicated recorder captures depositions and client intake clearly enough for a transcript your firm can rely on in the record.
Interviews & training sessions
A shotgun or lapel mic on the interviewer keeps qualitative interviews and role-play recordings transcribable, even with a quiet or distant subject.
Field recording
A handheld recorder or phone mic close to the source outperforms a laptop across a room, so field interviews still transcribe accurately later.
A different approach to microphone choice for AI transcription.
The best microphone for AI transcription is the one that gets a clean, close signal to the software: a condenser or USB mic for a quiet room, a headset or lavalier for calls and interviews, a shotgun or handheld recorder in the field. The mic does not do the transcribing. It decides how much the AI has to work with.
Why microphone choice quietly wrecks transcripts
Most teams find out their microphone was the problem after the fact: a transcript full of guessed words, a speaker who never gets identified correctly, a call that reads like it was recorded underwater. Condenser mics pick up detail and room tone, dynamic mics reject background noise but need to be close, USB mics are the easy default for a desk, and wireless lavaliers trade a little fidelity for freedom of movement. None of that is wrong on its own. The mistake is picking one without asking what the AI on the other end needs: a clear, consistent signal with the speaker close to the capsule and the room noise low.
Reading the signal, not just the words
Speak AI treats a recording the way a careful listener would, at machine speed. Speech is transcribed in your language, with 100+ supported, and the recording itself is analyzed for the three-layer language: the words, the tone, energy, and emotion in the voice, and, where available, the visuals. A clean signal from a good microphone makes every one of those layers more reliable, and a noisier one gets routed through the engine best suited to recover it, so a rushed intake call or a mid-tier headset still comes back usable.
What to check before your next recording
- “Is the mic within 6 to 12 inches of the speaker, or is it picking up the whole room?”
- “Does the noise cancellation cut a fan or an air conditioner without eating the speaker’s voice too?”
- “Is this a portable setup, or does the mic tie the recording to one desk?”
- “Does the price reflect what one bad transcript actually costs the team in re-listening time?”
From a clean signal to a searchable record
The payoff is not a better recording. It is what happens after: transcripts your team can trust the first time, sentiment and urgency scored consistently instead of some days better than others, and özelleştirebileceğiniz ve white-label oluşturabileceğiniz kontrol panelleri that track transcription accuracy and call quality over time, so this month is measured against last month instead of a gut feeling. A global entertainment leader put its FX network meetings, mixed mics and all, through this workflow and now runs automated meeting transcription and summarization across the business.
And because the same engine scores and coaches every conversation on the same criteria, once the audio lands clean it connects straight into arama puanlaması ve koçluk, and every transcript, field, and score is queryable from Claude, ChatGPT, and Cursor through the MCP sunucusu.
Sizinle birlikte mühendislik yapılmış, ilk günden doğru.
A generic AI tool starts from zero, no matter what microphone fed it. We shape the fields, scoring, and prompts around how your team captures meetings and calls, then prime the application on your existing recordings so it reads your setup correctly from the first file. You get structured data back, not just a transcript.
- Biz bağlamı, alanları ve puanlama around your microphones, rooms, and call types, not a template.
- Your historical recordings and transcripts prime the bilgi tabanı before go-live, mixed mics included.
- Her kayıt üzerinde yapılandırılmış veriler, Claude, ChatGPT ve Cursor aracılığıyla sorgulanabilir MCP sunucusu.
Uygulamalarınızı Claude, ChatGPT ve Cursor’a taşıyın.
Terminal yok. npm yok. Yapılandırma yok. Speak AI’nin MCP sunucusu herhangi bir asistan 100+ araç yaklaşık 60 saniyede bilgi tabanınızda arama yapmanız, analiz etmeniz ve işlem yapmanız için. Uygulamalarınızın üzerinde çalıştığı, entegrasyon katmanı ve tam geliştirici API’si aracılığıyla yığındaki yüzlerce uygulamaya bağlı olan aynı katmandır.
One platform. Not one model.
Genel bir yapay zeka aracı sizi bir modele ve bir motora kilitliyor. Speak AI her görev, dosya türü ve takım için doğru modeli, konuşma motorunu ve dili seçiyor; böylece uygulamalarınız asla tek bir satıcıya kilitli değildir.
Multi-model
Claude, ChatGPT ve Gemini. Her görev için kendi seçiminiz veya kendi anahtarınızı getirin.
Multi-engine
Transkripsiyon, ses, aksanlar ve terimleriniz için birden fazla motor arasında yönlendirilir.
100'den fazla dil
Transcribe and translate in and out, for global and multilingual teams.
MCP, API & entegrasyonlar
100+ MCP aracı ve zaten çalıştırdığınız yüzlerce uygulamaya bağlanan bir entegrasyon katmanı.
Takımlar Speak AI üzerinde inşa ediyor.
Speak AI’yi araştırma, transkripsiyon, toplantılar ve istemci işleri için kullanan ekiplerden gerçek geri bildirim.
Sıkça sorulan sorular
İlk karne kartınız danışmanlık sırasında gerçek bir kaydın üzerinde çalışır. Takım dağıtımı aylar değil günler sürer, çünkü bunu sizinle birlikte inşa ediyoruz ve mevcut kayıtlarınızda hazırlıyoruz.
Havuzlanmış kullanım, kişi başı değil, minimum hacim yok. Pilot programlar tamamen kredi edilir. Fiyatlandırmayı tam iş akışınız için aramada kapsamlandırıyoruz.
Speak AI, 100’den fazla dili, cümlenin ortasında dili değiştiren konuşmaları ve çeviri yapabilenleri işler.
Evet. White-label dağıtımları kendi domaininizdeki logosuyla çalışır ve acentelerin yeniden sattığı istemci platformlarını, artı markalı iOS ve Android uygulamalarını içerir.
It is a placement guideline: keep any second microphone at least three times farther from the source as the closest mic is, so multiple mics in a room do not cancel each other out. It matters less once Speak AI is analyzing the recording, since the engine is matched to the file you hand it, but clean placement still gives it more to work with.
It depends on the recording. Speak AI routes each file across multiple speech engines and picks the one suited to the audio, language, and accent, rather than forcing every file through one model, so accuracy holds up on mixed microphones and mixed rooms.
Not exactly. Microphones capture sound; Speak AI is the layer that turns the capture, whatever hardware it came from, into a transcript with tone, sentiment, and structured fields. A better microphone gives the AI more to work with, but the accuracy comes from the transcription and analysis layer, not the hardware alone.
There is not one mic that wins every room. The closest thing is matching the mic to the setup: a headset or lavalier for calls, a room or ceiling array for conference rooms, a shotgun or handheld for the field, all feeding into a transcription engine that adapts to whichever one you used.
Enterprise yapılandırmaları BAA’ler, özel veri işleme anlaşmaları, SSO ve veri yerleşim seçeneklerini destekler. Güvenlik belgelerini istek üzerine paylaşıyoruz ve her yapılandırmayı gereksinimlerinize göre kapsamlandırıyoruz.
From a mic swap to a transcript you trust.
Book a free consult, bring a real recording from your current setup, and watch it transcribed and scored before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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