Choose your mic
para 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.
Los logros que los equipos entregan
Tiempo a un producto en vivo, horas ahorradas por archivo, y dólares ahorrados. Misma plataforma, aplicaciones muy diferentes.
Empresa de tecnología legal construye una plataforma de deposiciones de marca blanca, 8 meses más rápido.
Agencia de investigación global lanza una plataforma de investigación cualitativa de marca blanca.
Empresa de inteligencia legal procesa más de 5.100 horas de llamadas de aseguradores, 95% más rápido.
Empresa de consultoría sanitaria redujo el procesamiento de sesiones de 8 horas a 0,3.
Fabricante de comercio electrónico centraliza la revisión de llamadas y la reduce en un 85%.
Empresa de reclutamiento reduce el tiempo de informe de candidatos de 5 horas a 10 minutos.
Bring your setup. Leave with a clean transcript.
Una sesión de trabajo, no un discurso de ventas. Sin compromiso.
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 ves transcrito, en directo
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 que puedes personalizar y etiquetar con tu marca 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 puntuación de llamadas y capacitación, and every transcript, field, and score is queryable from Claude, ChatGPT, and Cursor through the Servidor MCP.
Diseñado contigo, preciso desde el primer día.
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.
- Diseñamos el contexto, los campos y puntuación around your microphones, rooms, and call types, not a template.
- Tus grabaciones y transcripciones históricas optimizan el base de conocimientos before go-live, mixed mics included.
- Datos estructurados en cada grabación, consultables desde Claude, ChatGPT y Cursor a través de Servidor MCP.
Lleva tus aplicaciones a Claude, ChatGPT y Cursor.
Sin terminal. Sin npm. Sin configuración. El servidor MCP de Speak AI proporciona cualquier asistente Más de 100 herramientas para buscar, analizar y actuar sobre tu base de conocimientos en aproximadamente 60 segundos. Es la misma capa en la que se ejecutan tus aplicaciones, integrada en cientos de aplicaciones en tu stack a través de una capa de integraciones y una API completa para desarrolladores.
Una plataforma. No un modelo.
Una herramienta genérica de AI te vincula a un modelo y un motor. Speak AI selecciona el modelo correcto, motor de voz e idioma para cada tarea, tipo de archivo y equipo, para que tus aplicaciones nunca se vean limitadas a un único proveedor.
Multi-modelo
Claude, ChatGPT y Gemini. Tu elección por tarea, o trae tu propia clave.
Motor múltiple
Transcripción enrutada a través de múltiples motores para tu audio, acentos y términos.
Más de 100 idiomas
Transcribe y traduce dentro y fuera, para equipos globales y multilingües.
MCP, API e integraciones
Más de 100 herramientas MCP y una capa de integraciones que se conecta a cientos de aplicaciones que ya utilizas.
Los equipos construyen en Speak AI.
Retroalimentación real de equipos que usan Speak AI para investigación, transcripción, reuniones y trabajo con clientes.
Preguntas que recibimos
Tu primera tarjeta de puntuación se ejecuta en una grabación real durante la consulta. El despliegue en equipo toma días, no meses, porque lo construimos contigo y lo preparamos con tus grabaciones existentes.
Uso agrupado, no por usuario, sin volúmenes mínimos. Los pilotos se acreditan en su totalidad. Definimos precios para tu flujo de trabajo exacto en la llamada.
Speak AI maneja más de 100 idiomas, incluyendo conversaciones que cambian de idioma a mitad de oración, y puede traducir hacia adentro y hacia afuera.
Sí. Los despliegues de etiqueta blanca se ejecutan en tu propio dominio con tu logo, incluyendo plataformas de cliente que las agencias revenden, más aplicaciones iOS y Android marcadas.
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 construye compatibilidad con BAAs, acuerdos de procesamiento de datos personalizados, SSO y opciones de residencia de datos. Compartimos documentación de seguridad bajo solicitud y definimos cada construcción según tus requisitos.
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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