No foot pedal,
bare 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.
Seieren lagene leverer.
Tid til et live-produkt, timer spart per fil og dollar spart. Samme plattform, veldig ulike anvendelser.
Juridisk teknologiselskap bygger en white-label deposisjonsplattform, 8 måneder raskere.
Globalt forskningsbyrå lanserer en white-label kvalitativ forskningsplattform.
Juridisk intelligensselskap behandler 5 100+ timer med operatørsamtaler, 95% raskere.
Helsekonsulentfirma reduserte øktsbehandling fra 8 timer til 0,3.
E-handelsproducent sentraliserer anmeldelse av samtaler og reduserer med 85%.
Rekrutteringsfirma reduserer rapporttid for kandidater fra 5 timer til 10 minutter.
Bring one recording. Leave with it transcribed.
En arbeidssesjon, ikke en salgspitch. Ingen forpliktelse.
Du bringer en ekte opptak
An interview, a deposition, a lecture, a dictation. Whatever you currently run through a foot pedal by hand.
Vi kartlegger arbeidsflyten din
Your file types, your speaker setup, your formatting rules. Your words, your standards. Not a template.
Du ser det transkribert, direkte
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.
Medical transcription
Dictations and patient notes transcribed automatically, with terminology recognized and formatted for the chart, no pedal or foot switch required.
Juridisk transkripsjon
Depositions, hearings, and client calls transcribed and speaker-labeled, ready for the file without a stop-rewind-play cycle.
Freelance transcriptionists
Turn around client audio in minutes instead of hours, and take on more files without adding a second pedal or a second monitor.
Kvalitativ forskning
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.
Byråer & 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 instrumentbord du kan tilpasse og 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 behandlet 5 100+ timer og sparte $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 MCP server, connecting transcription to samtalevurdering og coaching across your team.
Konstruert med deg, nøyaktig fra dag én.
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 scoring around your transcription workflow, not a template.
- Dine historiske opptak og transkripsjonene primer kunnskapsbase før go-live.
- Structured, searchable transcripts on every file, queryable from Claude, ChatGPT, and Cursor through the MCP server.
Ét system for alt som teamet ditt sier.
Personlig og virtuelt, på ett sted. Ingen behov for å sy sammen et møteverktøy, en stemmeopptaker og tre andre apper. Speak AI fanger alt inn i én søkbar kunnskapsbasis som applikasjonene dine er bygget på.
Én plattform. Ikke én modell.
Et generisk AI-verktøy låser deg til en modell og en motor. Speak AI velger riktig modell, talemotor og språk for hver oppgave, filtype og team, slik at applikasjonene dine aldri er låst til en enkelt leverandør.
Multi-modell
Claude, ChatGPT og Gemini. Ditt valg per oppgave, eller ta med din egen nøkkel.
Multi-engine
Transkripsjon rutes på tvers av flere motorer for din lyd, aksenter og termer.
100+ språk
Transkribér og oversett inn og ut, for globale og flerspråklige team.
MCP, API & integrasjoner
100+ MCP-verktøy og et integrasjonslag som kobler til hundrevis av apper du allerede kjører.
Team bygger på Speak AI.
Ekte tilbakemelding fra team som bruker Speak AI for forskning, transkribering, møter og klientarbeid.
Spørsmål vi får
Ditt første resultatkort kjører på en ekte opptak under konsultasjonen. Teamutruling tar dager, ikke måneder, fordi vi bygger det med deg og primer det på dine eksisterende opptak.
Samlet bruk, ikke per-setning, uten volumminimum. Piloter kreditteres fullt ut. Vi tilpasser prising for ditt nøyaktige arbeidsflyt under samtalen.
Speak AI håndterer 100+ språk, inkludert samtaler som bytter språk midt i setningen, og kan oversette inn og ut.
Ja. White-label-utplasseringer kjører på ditt eget domene med din logo, inkludert klientplattformer som byråer selger videre, pluss merkevarebundne iOS- og Android-apper.
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 inkluderer BAA-støtte, egendefinerte databehandlingsavtaler, SSO og dataoppholdsalternativer. Vi deler sikkerhetsdokumentasjon på forespørsel og tilpasser hver build til dine krav.
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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