Choose your mic
voor 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.
De winsten die teams behalen.
Tijd tot een live product, uren bespaard per bestand en dollars bespaard. Hetzelfde platform, zeer verschillende toepassingen.
Legal tech bedrijf bouwt white-label depositoriumplatform, 8 maanden sneller.
Wereldwijd onderzoeksbureau lanceert white-label platform voor kwalitatief onderzoek.
Legal intelligence bedrijf verwerkt 5.100+ uur drageroproepen, 95% sneller.
Healthcare consultancybedrijf reduceerde sessieverwerkingstijd van 8 uur naar 0,3.
E-commerce fabrikant centraliseert oproepbeoordeling en vermindert deze met 85%.
Wervingsbedrijf reduceert tijd voor kandidaatrapporten van 5 uur naar 10 minuten.
Bring your setup. Leave with a clean transcript.
Een werkzitting, geen verkooppraat. Geen verplichting.
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.
U ziet het live getranscribeerd
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 dashboards die u kunt aanpassen en 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 call scoring en coaching, and every transcript, field, and score is queryable from Claude, ChatGPT, and Cursor through the MCP server.
Ontworpen met u, nauwkeurig vanaf dag één.
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.
- We ontwerpen de context, velden en scoring around your microphones, rooms, and call types, not a template.
- Uw historische opnamen en transcripten vormen de basis voor de kennisbank before go-live, mixed mics included.
- Gestructureerde gegevens voor elk opnamebestand, opvraagbaar via Claude, ChatGPT en Cursor via de MCP server.
Breng uw applicaties in Claude, ChatGPT en Cursor.
Geen terminal. Geen npm. Geen configuratie. Speak AI’s MCP-server biedt elke assistent 100+ tools om te zoeken, analyseren en actie ondernemen op uw kennisbank in ongeveer 60 seconden. Het is dezelfde laag waarop uw applicaties draaien, verbonden met de honderden apps in uw stack via een integratielaag en een volledige ontwikkelaars-API.
Één platform. Niet één model.
Een generiek AI-tool bindt u aan één model en één engine. Speak AI kiest het juiste model, spraakengine en taal voor elke taak, bestandstype en team, zodat uw applicaties nooit aan een enkele leverancier zijn gebonden.
Multi-model
Claude, ChatGPT en Gemini. Uw keuze per taak, of breng uw eigen sleutel mee.
Multi-engine
Transcriptie gerouteerd over meerdere engines voor uw audio, accenten en termen.
Meer dan 100 talen
Transcribeer en vertaal in en uit, voor globale en meertalige teams.
MCP, API & integraties
100+ MCP tools en een integratielaag die verbinding maakt met honderden apps die u al gebruikt.
Teams bouwen op Speak AI.
Echte feedback van teams die Speak AI gebruiken voor onderzoek, transcriptie, meetings en klantwerk.
Veelgestelde vragen
Uw eerste scorecard draait op een echte opname tijdens het consult. Team-rollout duurt dagen, niet maanden, omdat we het samen met u bouwen en het op uw bestaande opnamen instellen.
Gepoolde gebruik, niet per-seat, zonder volume minimums. Pilots worden volledig gecrediteerd. We bepalen de prijzen voor uw exacte workflow op het gesprek.
Speak AI verwerkt meer dan 100 talen, inclusief gesprekken die halverwege de zin van taal wisselen, en kan in en uit vertalen.
Ja. White-label-implementaties draaien op uw eigen domein met uw logo, inclusief clientplatformen die agentschappen doorverkopen, plus gebrande iOS- en Android-apps.
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-builds ondersteunen BAA’s, aangepaste gegevensverwerkingsovereenkomsten, SSO en opties voor gegevensresidentie. We delen beveiligingsdocumentatie op aanvraag en bepalen elke build naar uw vereisten.
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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