No foot pedal,
sólo clean transcripts.
Speak AI transcribes every recording automatically, so you never touch a foot pedal, tap stop-rewind-play, or ride a footswitch through a six-hour interview again. 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 one recording. Leave with it transcribed.
Una sesión de trabajo, no un discurso de ventas. Sin compromiso.
Traes una grabación real
An interview, a deposition, a lecture, a dictation. Whatever you currently run through a foot pedal by hand.
Mapeamos tu flujo de trabajo
Your file types, your speaker setup, your formatting rules. Your words, your standards. Not a template.
Lo ves transcrito, en directo
Your own recording, transcribed and formatted on your criteria, with a rollout plan for the whole team.
Transcription for every team that used to run a pedal.
The same engine, pointed at the recordings your team actually has.
Transcripción médica
Dictations and patient notes transcribed automatically, with terminology recognized and formatted for the chart, no pedal or foot switch required.
Transcripción legal
Depositions, hearings, and client calls transcribed and speaker-labeled, ready for the file without a stop-rewind-play cycle.
Transcriptores autónomos
Turn around client audio in minutes instead of hours, and take on more files without adding a second pedal or a second monitor.
Investigación cualitativa
Interviews and focus groups transcribed and coded consistently, so your team spends time on analysis instead of typing.
Journalists & producers
Interview tape turned into searchable, quotable text fast enough to make deadline, without replaying the same clip three times.
Agencias & etiqueta blanca
Run transcription for your clients on a branded workspace, with exports and the API, no pedal hardware to ship or support.
A different approach to transcription without a foot pedal.
Transcription is the process of turning audio or video into text, and for decades the fastest way to do it by hand was a foot pedal: a switch under the desk that let a typist control playback without lifting their hands off the keyboard. Medical transcriptionists, legal transcriptionists, researchers, and journalists have leaned on this workflow for years, buying analog, digital, USB, or wireless pedals depending on budget and software.
Why the pedal became the workaround
A foot pedal never fixed the actual problem. It just made the problem more bearable. Someone still had to listen to every word, guess at names and numbers, tap stop and rewind whenever a sentence got mumbled, and type the whole thing by hand. A wireless pedal with playback-speed control is more comfortable than a plastic three-button analog one, but both still ask a person to sit through the full length of the recording, sometimes twice, to produce a clean document.
What replaces the pedal
Speak AI reads the recording the way a great transcriptionist would, at machine speed, with no footswitch in the loop. Each file is transcribed in your language, with 100+ supported, and the audio itself is analyzed on three layers: the words, the voice’s tone, emotion, and energy, and any visuals in a recorded session, captured together instead of flattened into a single wall of text. Speakers are identified and labeled automatically, and the output lands as a searchable, editable transcript, not raw text you still have to punctuate and format by hand.
What each pedal type actually solved
Every pedal type promised to solve the same problem in a slightly different way. None of them removed the need for a person to listen to the whole file.
- Analog pedals: three buttons, affordable, but no speed control and nothing to help with names, spelling, or formatting.
- Digital pedals: adjustable playback speed, but still tied to a single typist working through the file in real time.
- USB pedals: tighter software integration with tools like Express Scribe, but the bottleneck stays the same, one person, one pass.
- Wireless pedals: the most comfortable to use, and the most expensive, for a workflow that is still manual from end to end.
From hours behind a pedal to hours back
The result is a transcription workflow that doesn’t need a foot pedal at all, and it holds up at scale. Trends across hundreds of files become dashboards que puedes personalizar y etiquetar con tu marca instead of a stack of finished documents nobody re-reads, tracking turnaround time, accuracy, and volume over time. One legal intelligence firm put its recorded calls through this workflow instead of a typing pool and procesó más de 5,100 horas y ahorró $700K, a scale no pedal-and-keyboard team could reach.
And because a transcript is rarely the end goal, the same engine scores and coaches on the conversations you transcribe, and every file is queryable from Claude, ChatGPT, and Cursor through the Servidor MCP, connecting transcription to puntuación de llamadas y capacitación across your team.
Diseñado contigo, preciso desde el primer día.
A generic AI tool starts from zero. We shape the fields, formatting, and speaker labels around how your team already transcribes: terminology, style guide, turnaround SLAs. Then we prime the application on your existing recordings so it is useful from the first file. You get a structured, formatted transcript back, not just raw text.
- We design the formatting, speaker labels, and puntuación around your transcription workflow, not a template.
- Tus grabaciones y transcripciones históricas optimizan el base de conocimientos antes del lanzamiento.
- Structured, searchable transcripts on every file, queryable from Claude, ChatGPT, and Cursor through the Servidor MCP.
Un único sistema de registro para todo lo que dice tu equipo.
En persona y virtual, en un solo lugar. Sin necesidad de conectar una herramienta de reuniones, una grabadora de voz y tres aplicaciones más. Speak AI lo captura todo en una base de conocimientos única y consultable en la que se construyen tus aplicaciones.
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.
No. Speak AI transcribes the recording automatically, so there is no stop-rewind-play cycle to run by foot. Upload or capture the audio and get a full transcript back, with speaker labels and timestamps, in minutes instead of hours.
For most recordings, yes. Speak AI runs at 95%+ accuracy across 100+ languages, and every transcript is fully editable, so cleanup takes minutes rather than the hours a pedal-and-keyboard workflow requires.
Keep it for the rare file that needs a full manual pass. Most teams route the bulk of their audio through Speak AI first, then only touch the pedal for edge cases like heavy accents, overlapping speakers, or poor audio quality.
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 foot pedal to a finished transcript.
Book a free consult, bring a real recording, and watch it transcribed and formatted before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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