Thematic analysis
on one AI tool.
Speak AI is an AI tool for thematic analysis: transcripts coded into themes, saturation tracked across sources, and dashboards that show what changed over time. Start free. 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, open-ended survey responses. Whatever your team codes by hand today.
We map your codebook
The themes and codes in your coding manual, your spreadsheet, your research question. Your words, your categories. Not a template.
You see it coded, live
Your own transcript, coded against your own codebook, with a rollout plan for the whole study.
Thematic analysis for every kind of research.
The same coding engine, pointed at the transcripts your team actually analyzes.
Interview & focus group coding
Interview transcripts and focus groups coded against your framework, with saturation tracked so you know when to stop recruiting.
Usability & discovery sessions
Session recordings transcribed and themed automatically, so patterns across participants surface without a manual affinity map.
Open-ended survey responses
Thousands of open-text responses coded into themes and frequency counts, ready for a client report the same week.
Clinical & patient interviews
Patient and clinician interviews coded with sentiment and tone captured alongside the words, for compliant qualitative studies.
Client research at scale
Run thematic analysis for every client on a branded, white-label workspace, with exports and the API.
Support & feedback themes
Support tickets and customer interviews coded into recurring themes your product team can prioritize against.
A different approach to thematic analysis.
Thematic analysis is the process of identifying patterns and themes in qualitative data: interviews, focus groups, open-ended survey responses, and support conversations. Researchers use it to turn a folder of transcripts into a set of coded themes they can report on, defend, and act on. It has always been a manual craft: one researcher, one transcript, a highlighter and a spreadsheet, read and re-read until the themes settle.
Why free thematic analysis tools rarely stay free
Anyone searching for a free thematic analysis tool has usually hit the same wall. NVivo and ATLAS.ti are built for teams that need audit trails and inter-rater reliability, and the license cost reflects that. ChatGPT is free or cheap and will code a pasted transcript if you ask it to, but there is no codebook that persists between sessions, no saturation tracking across sources, and no record of which quote supports which theme once the chat window closes.
How Speak AI reads a transcript
Speak AI transcribes the recording first, in your language, with 100+ supported, then applies AI-assisted coding across the transcript: candidate themes, supporting quotes, and a running codebook your team edits as you go. Where the source is audio or video, Speak AI reads three layers at once: the words on the page, the tone, emotion, and energy in the delivery, and the visual cues on video, so a theme like “frustration with onboarding” is backed by more than word choice alone. Coverage and saturation are tracked across every source, and customizable, white-label dashboards show how a theme’s frequency moves over time, cohort by cohort, without a spreadsheet rebuilt by hand.
What researchers ask their coded transcripts
- “What are the most common themes across our interviews this quarter?”
- “Which participants mentioned pricing, and what exactly did they say?”
- “Have we reached saturation on this theme, or do we need more interviews?”
- “Show me every quote coded under ‘trust’ across all sources.”
Then the same questions run across your entire library through AI chat, using ChatGPT, Claude, and Gemini built directly into the workspace, and the same codebook is queryable from any of those assistants through the MCP server, so a researcher can check theme frequency without leaving the tool they already work in.
From a trial to a defensible analysis
Speak AI is free to start: transcribe and code a real transcript on the free tier before deciding on anything else. One legal intelligence firm ran the same coding engine at production scale, applying it across 5,100+ hours of carrier calls and saving $700K, without adding headcount. And because thematic analysis rarely stands alone, the same engine scores and codes calls, meetings, and interviews on the same criteria, connecting the workspace to call scoring across every conversation your team analyzes.
Engineered with you, accurate from day one.
A generic AI tool starts from zero. We shape the codebook, themes, and prompts around how your team analyzes qualitative data: your categories, your saturation criteria, your evidence rules. Then we prime the application on your existing transcripts so it is useful from the first file. You get structured codes back, not just a transcript.
- We design the context, fields, and scoring around your coding workflow, not a template.
- Your historical transcripts and codebooks prime the knowledge base before go-live.
- Structured themes and codes on every transcript, 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 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.
Several options exist, from general-purpose assistants like ChatGPT to dedicated qualitative software like NVivo and ATLAS.ti. Speak AI is built specifically for thematic analysis: it transcribes, applies AI-assisted coding, and tracks themes and saturation, with a free tier so you can try it on your own transcripts before deciding.
Yes, in a limited way. You can paste transcript text into ChatGPT and ask it to identify themes, but there is no persistent codebook, no saturation tracking across sources, and context limits cap how much you can analyze at once. Speak AI runs the same class of models with a codebook, source tracking, and dashboards built around the analysis.
They solve different problems. NVivo is dedicated qualitative software with manual and semi-automated coding tools, built for teams that need audit trails and inter-rater reliability. ChatGPT is a general assistant with no persistent project structure. Speak AI sits between them: AI-assisted coding with the codebook and audit trail teams need from dedicated software.
Yes. Speak AI offers a free tier for thematic analysis and qualitative coding, so you can transcribe and code a real transcript before committing to a paid plan.
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 an open transcript to a coded analysis.
Book a free consult, bring a real transcript, and watch it coded into themes before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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