Turn transcripts
into answers, not words.
Speak AI runs your best audio transcription prompts against every file in the queue: themes, sentiment, and a summary, extracted the moment the transcript lands. We build the prompts 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 file. Leave with it prompted.
A working session, not a sales pitch. No obligation.
You bring a real transcript
An interview, a focus group, a deposition, a customer call. Whatever your team reads through line by line today.
We map your prompts
The prompts in your notebook, your coding framework, your report template. Your words, your structure. Not a template.
You see it prompted, live
Your own transcript, run through your prompts, with a rollout plan for the whole team.
Transcription prompts for every kind of team.
The same prompt engine, pointed at the files your team actually transcribes.
Freelance transcriptionists
Turn a finished transcript into a client-ready summary and theme list in the time it used to take to proofread.
Legal transcription
Depositions and hearings prompted for key admissions, timelines, and contradictions, cited back to the transcript.
Medical transcription
Patient encounters summarized against your note template, with terminology and dosages carried through accurately.
Qualitative researchers
Interview and focus group transcripts coded for themes and sentiment, consistent across every file in the study.
Market research & UX teams
Usability sessions and customer interviews prompted for pain points and quotes, ready to drop into a report.
Media & content teams
Podcast and video transcripts prompted into show notes, pull quotes, and articles without a second pass.
A different approach to transcription prompts.
Audio transcription prompts are instructions you run against a finished transcript to pull out the parts that matter: themes, sentiment, quotes, and a summary a reader can act on. Transcriptionists, researchers, and analysts have written these prompts by hand for years, pasting text into a chat window one file at a time to get a usable answer.
Why a prompt library on its own falls flat
The prompt itself was never the hard part. Ten good prompts, saved in a document, still leave you copying and pasting one transcript at a time, watching for a model that drifts off your wording, and re-checking every summary against the original audio because there is no link back to what was actually said. A prompt library speeds up the typing. It does not fix the workflow underneath it.
Reading the transcript, not just the words
Speak AI runs your prompts against three layers at once: the words on the page, the tone, emotion, and energy in the voice underneath them, and the visuals when video is involved. Every file is transcribed in your language, with 100+ supported, then the recording itself is analyzed for hesitation, emphasis, and the emotion behind what was said. Ask across your entire file library with AI chat, using the prompt workflows you already wrote, now running natively with ChatGPT, Claude, and Gemini built in, cited back to the exact line and timestamp.
The prompts transcriptionists run every day
- “Pull the recurring themes and overall sentiment from this batch of interviews.”
- “Summarize the talking points and conclusions, sorted by which stakeholder needs them.”
- “Condense this focus group into the points of consensus and the outliers.”
- “Highlight the decisions and any change in direction from this meeting.”
- “Turn this deposition into a timeline of admissions and contradictions, with citations.”
From a folder of files to a finished digest
The result is a transcript queue that reads itself first. Recurring themes across a study become a report instead of a highlighter and a notebook, and dashboards you can customize and white-label track sentiment and theme frequency over time, so this month’s files are measured against last month’s. One legal intelligence firm put its call and interview transcripts through this workflow and processed 5,100+ hours of carrier calls, 95% faster, without adding headcount.
And because a transcript is rarely the only thing your team reviews, the same prompts and fields are queryable from Claude, ChatGPT, and Cursor through the MCP server, so a transcriptionist’s prompt library becomes something the whole team can ask questions against.
Engineered with you, accurate from day one.
A generic AI tool starts from zero. We shape the prompts, fields, and structure around how your team already reads transcripts: your coding framework, your report template, your terminology. Then we prime the application on your existing files so it is useful from the first transcript. You get structured answers back, not just a wall of text.
- We design the prompts, fields, and scoring around your transcript workflow, not a template.
- Your historical transcripts and files prime the knowledge base before go-live.
- Structured answers 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.
The ones tied to a job: pull recurring themes and sentiment, condense a focus group into consensus and outliers, or turn a deposition into a timeline with citations. Speak AI runs prompts like these against the transcript and the recording together, so the answer is grounded in a timestamp you can check.
Yes. Upload or import the audio, video, or text file and Speak AI transcribes it, then a prompt (yours or one of ours) returns a summary, themes, and sentiment, cited back to the original file.
Yes. Write your own prompt or use one from the library, and run it against a single file or an entire folder at once. We also help you build a prompt set around your existing coding framework or report template.
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 stack of files to a finished digest.
Book a free consult, bring a real transcript, and watch it prompted, summarized, and structured before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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