Analyze discourse
without the software hunt.
Speak AI transcribes, codes, and analyzes your interviews and conversations in one workspace, no stitching together AntConc, RStudio scripts, and Voyant Tools. A free tier is included. 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 transcript. Leave with it coded.
A working session, not a sales pitch. No obligation.
You bring a real transcript
An interview, a focus group, a set of open-ended survey responses. Whatever you are coding by hand today.
We map your codebook
The codes and themes in your codebook, your research questions, your inter-rater rules. Your words, your framework. Not a template.
You see it coded, live
Your own transcript, coded against your framework, with a rollout plan for your research team.
Discourse analysis for every kind of research.
The same engine, pointed at the interviews and conversations you actually analyze.
Dissertation & thesis coding
Interview and focus-group transcripts coded against your framework, with quotes and frequencies ready for your methods chapter.
Linguistics & conversation analysis
Turn-taking, framing, and register tracked across transcripts, with the tone and pacing of the recording analyzed alongside the words.
UX research & user interviews
User interviews transcribed and coded for pain points and sentiment, so patterns surface across sessions instead of one at a time.
Market & consumer research
Focus groups and customer interviews coded for themes, objections, and language, searchable across your whole study.
Journalism & media analysis
Interview recordings and broadcast transcripts coded for framing and sourcing, with quotes findable in seconds.
Grad students & PhD candidates
A free tier that codes real interviews without the AntConc setup or the RStudio scripting, so you can start coding today.
A different approach to discourse analysis software.
Discourse analysis is the process of examining written and spoken language to understand how words, phrases, and framing shape meaning, and how an audience receives it. Researchers, linguists, and analysts have used it for years to understand relationships between speakers, track how language shifts, and make better decisions about arguments, policy, and communication.
Why the free tool list stalls research
The usual list of free discourse-analysis software is real. AntConc is a solid choice for concordances and collocations. RStudio’s tidytext package handles word counts, n-grams, and topic models. Voyant Tools runs frequency and visualization in a browser. Stanford Core NLP parses text at scale. Each one is free, and each one does one job on written text you have already typed up. None of them listen to the interview, code the video, or track how a theme shifts from your first participant to your last. They all start after the hardest part of qualitative research, getting from a recording to a clean transcript, is already done by hand.
Reading the conversation, not just the transcript
Speak AI treats every interview and focus group the way a research team would, at machine speed. Recordings are transcribed in your language, with 100+ supported, and then the recording itself is analyzed: the tone, energy, and pacing behind what was said, layered on top of the words on the page. Your codebook becomes structured fields, applied consistently across every transcript instead of drifting between coders.
Then the questions start. Ask across your entire study with AI chat, using the coding and query workflows researchers used to build by hand in RStudio or Voyant Tools, now running natively over your recordings with ChatGPT, Claude, and Gemini built in.
What a coding workflow actually needs
- Code the audio and video itself, not a transcript typed up after the fact.
- Apply one codebook consistently across every interview, not one script per tool.
- Track how a theme like “trust” shifts from participant one to participant twelve.
- Query the whole study in plain language instead of re-running an R script.
- Keep a free tier, without the AntConc setup or the command line.
From a reading list to a coded study
The result is a study that codes itself as it grows. New interviews are transcribed and coded against your existing framework instead of restarting the AntConc-versus-RStudio comparison every time. Trends across dozens of transcripts become a report instead of a spreadsheet, and dashboards you can customize and white-label track theme frequency and sentiment over time, so this month’s interviews are measured against last month’s. One legal intelligence firm put its case interviews and calls through this workflow and processed 5,100+ hours and saved $700K, at a scale no free tool on the list was built for.
And because a study rarely stays text-only, the same engine runs across Claude, ChatGPT, and Cursor through the MCP server, so your coded transcripts are queryable from the tools your research team already runs.
Engineered with you, accurate from day one.
A generic AI tool starts from zero. We shape the codes, themes, and prompts around your coding framework: your codebook, your research questions, your inter-rater rules. Then we prime the application on your existing transcripts so it is useful from the first file. You get structured, queryable data back, not just a transcript.
- We design the context, codes, and scoring around your coding framework, not a template.
- Your historical interviews and transcripts prime the vedomostná základňa before go-live.
- Structured, coded data on every transcript, 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.
Viac ako 100 jazykov
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.
Yes. AntConc, RStudio’s tidytext package, Voyant Tools, and Stanford Core NLP are all free and work well on text you have already transcribed. Speak AI adds a free tier that transcribes the recording itself and applies your codebook automatically, so you are not typing up interviews by hand before the analysis even starts.
You can paste a transcript into ChatGPT and ask questions about it, but it will not transcribe your recording, apply one codebook consistently across a study, or track how a theme shifts across dozens of interviews. Speak AI runs ChatGPT, Claude, and Gemini natively over your coded, structured transcripts instead.
No. RStudio and Stanford Core NLP both expect scripting. Your codebook and fields are set up on a call, then applied automatically across every interview you upload after that, no code required.
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 reading list to a coded study.
Book a free consult, bring a real transcript, and watch it coded on your own framework before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
English 
Español 
Français 
Italiano 
العربية 
Português do Brasil 
Nederlands 
Deutsch 
עִבְרִית 
Русский 
日本語 
Polski 
Čeština 
Українська 
Slovenščina 
Svenska 
Ελληνικά 
Norsk bokmål 
简体中文 
Türkçe 
Català 
Magyar 
한국어 
Slovenčina 
Suomi