Choose your mic
per 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.
I risultati che i team realizzano.
Tempo per un prodotto live, ore risparmiate per file e dollari risparmiati. Stessa piattaforma, applicazioni molto diverse.
Un’azienda di legal tech realizza una piattaforma di deposizioni white-label, 8 mesi più velocemente.
Un’agenzia di ricerca globale lancia una piattaforma di ricerca qualitativa white-label.
Studio legale elabora 5.100+ ore di chiamate vettoriali, 95% più velocemente.
Studio di consulenza sanitaria riduce l’elaborazione delle sessioni da 8 ore a 0,3.
Produttore e-commerce centralizza la revisione delle chiamate e la riduce dell’85%.
Agenzia di reclutamento riduce il tempo dei rapporti sui candidati da 5 ore a 10 minuti.
Bring your setup. Leave with a clean transcript.
Una sessione di lavoro, non una presentazione commerciale. Nessun obbligo.
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.
Lo vedi trascritto, in tempo reale
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 dashboard che puoi personalizzare e white-label 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 valutazione delle chiamate e coaching, and every transcript, field, and score is queryable from Claude, ChatGPT, and Cursor through the Server MCP.
Progettato con te, preciso dal primo giorno.
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.
- Progettiamo il contesto, i campi e valutazione around your microphones, rooms, and call types, not a template.
- I tuoi registrazioni e trascritti storici forniscono i dati per base di conoscenza before go-live, mixed mics included.
- Dati strutturati su ogni registrazione, interrogabili da Claude, ChatGPT e Cursor attraverso Server MCP.
Porta le tue applicazioni in Claude, ChatGPT e Cursor.
Nessun terminale. Nessun npm. Nessuna configurazione. Il server MCP di Speak AI offre qualsiasi assistente 100+ strumenti cercare, analizzare e agire sulla tua knowledge base in circa 60 secondi. È lo stesso livello su cui girano le tue applicazioni, cablato alle centinaia di app nel tuo stack attraverso uno strato di integrazioni e un API completo per sviluppatori.
Una piattaforma. Non un solo modello.
Uno strumento AI generico ti vincola a un modello e a un motore. Speak AI sceglie il modello giusto, il motore di riconoscimento vocale e la lingua per ogni attività, tipo di file e team, quindi le tue applicazioni non vengono mai vincolate a un singolo fornitore.
Multi-modello
Claude, ChatGPT e Gemini. La tua scelta per ogni compito, o porta la tua chiave.
Multi-motore
Trascrizione indirizzata attraverso più motori per il tuo audio, accenti e termini.
Oltre 100 lingue
Trascrivi e traduci in entrata e in uscita, per team globali e multilingue.
MCP, API & integrazioni
Oltre 100 strumenti MCP e un livello di integrazione che si connette a centinaia di app che già utilizzi.
I team costruiscono su Speak AI.
Feedback reali da team che usano Speak AI per ricerca, trascrizione, riunioni e lavoro con clienti.
Domande frequenti
La tua prima scorecard viene eseguita su una registrazione reale durante la consulenza. Il rollout del team richiede giorni, non mesi, perché la costruiamo con te e la prepariamo sulle tue registrazioni esistenti.
Utilizzo in pool, non per utente, senza volumi minimi. I pilot sono accreditati interamente. Definiamo il pricing in base al tuo workflow esatto durante la call.
Speak AI gestisce più di 100 lingue, incluse conversazioni che cambiano lingua a metà frase, e può tradurre in entrata e in uscita.
Sì. I white-label deployment vengono eseguiti nel tuo dominio con il tuo logo, incluse piattaforme client che le agenzie rivendono, più app iOS e Android personalizzate.
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 supporta BAA, accordi personalizzati di elaborazione dati, SSO e opzioni di residenza dei dati. Condividiamo documentazione di sicurezza su richiesta e definiamo ogni implementazione in base alle tue esigenze.
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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