Turn Scottish audio
into text you can trust.
Speak AI transcribes Scottish English audio and video into accurate, speaker-labeled text, tuned for the accent and vocabulary that trip up generic tools. 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 Scottish recording. Leave with it transcribed.
A working session, not a sales pitch. No obligation.
You bring a real Scottish file
An interview, a meeting, a call, a lecture. Whatever your team currently transcribes by hand and re-checks for accent and dialect.
We map your workflow
Speakers, Scots vocabulary, export formats, and where the transcript needs to land. Your words, your setup, not a template.
You see it transcribed, live
Your own Scottish recording, transcribed and labeled on the spot, with a rollout plan for the whole team.
Scottish English transcription for every kind of team.
The same engine, pointed at the Scottish English audio and video your team actually works with.
Scottish consumer interview transcripts
Focus groups and interviews across Scotland transcribed and coded, dialect and all, ready for analysis.
Scottish podcast & video transcripts
Podcasts, news segments, and YouTube content transcribed with captions and subtitles ready to publish.
Scottish hearing & deposition transcripts
Hearings, depositions, and recorded statements transcribed into records your team can rely on, under Scotland’s own legal system.
Scottish support call transcripts
Customer calls transcribed and searchable, so QA and coaching do not depend on a reviewer who knows the accent.
Scots dialect fieldwork transcription
Oral histories and sociolinguistic fieldwork transcribed with speaker labels for qualitative analysis.
Scottish content & caption teams
Source audio transcribed first, then captioned and exported for subtitling and localization.
A different approach to Scottish English transcription.
Scottish English is not a separate language, it is the family of English spoken across Scotland, shaped by Scots vocabulary and grammar (words like aye, wee, dinnae, and bairn), a rolled r, and pacing that shifts from region to region: Glasgow, Edinburgh, the Highlands, and the Borders all sound noticeably different. Generic transcription tools are trained overwhelmingly on standard American or southern English speech, and Scottish accents are exactly where they start guessing.
Where Scottish English transcription usually breaks down
Most speech recognition tools were built and tested on a narrow slice of English accents. Feed one a recording full of Scots vocabulary and a strong regional accent, and it starts substituting near-sounding words, dropping whole phrases, and flattening tone and emphasis into a wall of text nobody trusts. Teams end up relistening and correcting by hand, which erases most of the time an automated tool was supposed to save.
Reading the recording, not just the words
Speak AI transcribes Scottish English audio and video with speaker labels and timestamps, tuned for the accent and vocabulary rather than guessing at standard English. It reads the recording itself: who is speaking, the tone and energy behind the words, and how the delivery shifts across a long interview or hearing, the three layers together: words, voice, and where relevant, visuals. Names, terms, and callback details are extracted into structured fields your team can search. Then you can ask across your entire Scottish English archive with AI chat, using ChatGPT, Claude, and Gemini built directly into the workspace.
- Scottish English audio and video, transcribed with speaker labels, tuned for regional accent and Scots vocabulary.
- Captions and subtitles (SRT, VTT) generated straight from the timestamped transcript.
- Translation between Scottish English phrasing and standard English when a wider audience needs it.
- Export to Word, PDF, TXT, CSV, or JSON, depending on how your team needs to use it.
From one recording to a searchable archive
The result is a Scottish English archive that behaves like any well-run English one. Interviews, hearings, and support calls become searchable text instead of a folder of audio nobody has time to relisten to, and dashboards you can customize and white-label track themes and volume across your recordings over time. One multilingual education platform put its assessment recordings, across multiple English varieties and languages, through this kind of workflow with embedded recorders spanning multiple languages, without hiring a reviewer for every accent.
And because Scottish recordings rarely live in isolation from the rest of your work, the same engine scores calls and coaches teams on the same criteria, connecting Scottish English transcription to call scoring and the wider knowledge base your team already runs on.
Engineered with you, accurate from day one.
A generic AI tool starts from zero on Scots vocabulary, names, and accent. We shape the fields, vocabulary, and prompts around your Scottish English content specifically, then prime the application on your existing recordings so it is accurate from the first file. You get structured data back, not just a transcript.
- We design the context, fields, and scoring around your Scottish English workflow, not a generic template.
- Your historical Scottish recordings and transcripts prime the knowledge base before go-live.
- Structured data on every Scottish English file, queryable from Claude, ChatGPT, and Cursor through the MCP server.
Bring your applications into Claude, ChatGPT, and Cursor.
No terminal. No npm. No config. Speak AI's MCP server gives any assistant 100+ tools to search, analyze, and act on your knowledge base in about 60 seconds. It is the same layer your applications run on, wired into the hundreds of apps in your stack through an integrations layer and a full developer API.
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 Kannada workflow is 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.
Scottish English is already English, so there is no word-for-word translation needed, though Scots vocabulary and phrasing can read unfamiliar in a transcript. Speak AI transcribes the audio as spoken and can also produce a plain-English version of the same transcript for readers unfamiliar with the dialect.
Scottish English shows up in text through vocabulary (aye, wee, dinnae, bairn), spelling of certain words, and sentence rhythm rather than a different alphabet. Speak AI’s transcripts preserve what was actually said, dialect and all, rather than smoothing it into standard English.
Most Scots speakers say it the same way as standard English, "I love you," though warmer or more informal contexts might use phrasing like "I like you fine." Speak AI transcribes exactly what a speaker says, so phrasing like this comes through in the transcript rather than getting normalized away.
Common Scottish greetings include "aye" (also used as "yes"), "awright?" (alright?), and "how’s it gaun?" (how’s it going?). Speak AI transcribes greetings and everyday Scots phrasing as spoken, so an accurate transcript captures them rather than substituting standard English.
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 Scottish audio to a transcript you can trust.
Book a free consult, bring a real Scottish English recording, and watch it transcribed and labeled before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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