No foot pedal,
solo 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.
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 one recording. Leave with it transcribed.
Una sessione di lavoro, non una presentazione commerciale. Nessun obbligo.
Porti una registrazione reale
An interview, a deposition, a lecture, a dictation. Whatever you currently run through a foot pedal by hand.
Mappiamo il tuo workflow
Your file types, your speaker setup, your formatting rules. Your words, your standards. Not a template.
Lo vedi trascritto, in tempo reale
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.
Trascrizione medica
Dictations and patient notes transcribed automatically, with terminology recognized and formatted for the chart, no pedal or foot switch required.
Trascrizione legale
Depositions, hearings, and client calls transcribed and speaker-labeled, ready for the file without a stop-rewind-play cycle.
Trascrittori freelance
Turn around client audio in minutes instead of hours, and take on more files without adding a second pedal or a second monitor.
Ricerca qualitativa
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.
Agenzie e white label
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 dashboard che puoi personalizzare e white-label 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 elaborati 5.100+ ore e risparmiati $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 Server MCP, connecting transcription to valutazione delle chiamate e coaching across your team.
Progettato con te, preciso dal primo giorno.
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 valutazione around your transcription workflow, not a template.
- I tuoi registrazioni e trascritti storici forniscono i dati per base di conoscenza prima del go-live.
- Structured, searchable transcripts on every file, queryable from Claude, ChatGPT, and Cursor through the Server MCP.
Un unico sistema di registrazione per tutto ciò che dice il tuo team.
In-person e virtual, in un unico posto. Nessuna necessità di integrare uno strumento di riunioni, un registratore vocale e tre altre app. Speak AI cattura tutto in una knowledge base ricercabile su cui le tue applicazioni sono costruite.
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.
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 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 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.
English 
Español 
Français 
Italiano 
العربية 
Português do Brasil 
Nederlands 
Deutsch 
עִבְרִית 
Русский 
日本語 
Polski 
Čeština 
Українська 
Slovenščina 
Svenska 
Ελληνικά 
Norsk bokmål 
简体中文 
Türkçe 
Català 
Magyar 
한국어 
Slovenčina 
Suomi