No foot pedal,
just 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.
The wins teams ship.
Time to a live product, hours saved per file, and dollars saved. Same platform, very different applications.
Legal tech company builds a white-label deposition platform, 8 months faster.
Global research agency launches a white-label qualitative research platform.
Legal intelligence firm processes 5,100+ hours of carrier calls, 95% faster.
Healthcare consulting firm cut session processing from 8 hours to 0.3.
E-commerce manufacturer centralizes call review and cuts it by 85%.
Recruiting firm cuts candidate report time from 5 hours to 10 minutes.
Bring one recording. Leave with it transcribed.
A working session, not a sales pitch. No obligation.
You bring a real recording
An interview, a deposition, a lecture, a dictation. Whatever you currently run through a foot pedal by hand.
We map your workflow
Your file types, your speaker setup, your formatting rules. Your words, your standards. Not a template.
You see it transcribed, live
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.
Legal transcription
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.
Qualitative research
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.
Agencies & 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 you can customize and 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 processed 5,100+ hours and saved $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 call scoring and coaching across your team.
Engineered with you, accurate from day one.
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.
- Your historical recordings and transcripts prime the knowledge base before go-live.
- Structured, searchable transcripts on every file, queryable from Claude, ChatGPT, and Cursor through the MCP server.
One system of record for everything your team says.
In-person and virtual, in one place. No stitching together a meeting tool, a voice recorder, and three other apps. Speak AI captures it all into one searchable knowledge base your applications are built on.
One platform. Not one model.
A generic AI tool locks you to one model and one engine. Speak AI picks the right model, speech engine, and language for each task, file type, and team, so your applications are never locked to a single vendor.
Multi-model
Claude, ChatGPT, and Gemini. Your choice per task, or bring your own key.
Multi-engine
Transcription routed across multiple engines for your audio, accents, and terms.
100+ languages
Transcribe and translate in and out, for global and multilingual teams.
MCP, API & integrations
100+ MCP tools and an integrations layer that connects to hundreds of apps you already run.
Teams build on Speak AI.
Real feedback from teams using Speak AI for research, transcription, meetings, and client work.
Questions we get
Your first scorecard runs on a real recording during the consult. Team rollout takes days, not months, because we build it with you and prime it on your existing recordings.
Pooled usage, not per-seat, with no volume minimums. Pilots are credited in full. We scope pricing for your exact workflow on the call.
Speak AI handles 100+ languages, including conversations that switch language mid-sentence, and can translate in and out.
Yes. White-label deployments run on your own domain with your logo, including client platforms agencies resell, plus branded iOS and 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 support BAAs, custom data processing agreements, SSO, and data residency options. We share security documentation on request and scope each build to your requirements.
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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