No foot pedal,
gewoon 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.
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 one recording. Leave with it transcribed.
Een werkzitting, geen verkooppraat. Geen verplichting.
U brengt een echte opname mee
An interview, a deposition, a lecture, a dictation. Whatever you currently run through a foot pedal by hand.
We brengen uw workflow in kaart
Your file types, your speaker setup, your formatting rules. Your words, your standards. Not a template.
U ziet het live getranscribeerd
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.
Juridische transcriptie
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.
Kwalitatief onderzoek
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.
Bureaus & 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 dashboards die u kunt aanpassen en 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 5.100+ uur verwerkt en $700K bespaard, 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 call scoring en coaching across your team.
Ontworpen met u, nauwkeurig vanaf dag één.
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.
- Uw historische opnamen en transcripten vormen de basis voor de kennisbank voordat u live gaat.
- Structured, searchable transcripts on every file, queryable from Claude, ChatGPT, and Cursor through the MCP server.
Eén systeem van waarheid voor alles wat uw team zegt.
Ter plaatse en virtueel, op één plek. Geen combinatie van een vergaderingtool, een spraakrecorder en drie andere apps. Speak AI vangt alles in één doorzoekbare kennisbank waarop uw applicaties zijn gebouwd.
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.
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-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 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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