Analyze the voice, the visuals, and the words in every recording.
You can now analyze tone and visuals in Speak AI, not just words. Audio analysis reads tone, emotion, energy, and more. Visual analysis reads body language, screen sharing content, facial expressions, and more. Multimodal analysis is the engine behind AI-native sales acceleration: the words, the voice, and the visuals, scored together.
Sarah K.
Jordan T.
Analyze audio, video, and transcripts in one place.
Hours disappear relistening to calls and rewatching video, hunting for a moment the transcript never captured. That is transcript-only blindness: the insight was sitting in someone’s tone of voice or on a shared screen the whole time. Speak AI analyzes audio, video, and text in one place, so nothing outside the words gets lost.
Transcript analysis
Every transcript is analyzed for themes, sentiment, keywords, and structure, the layer that has always powered Speak AI, now working alongside audio and video analysis instead of standing alone.
Audio analysis
Analyze tone, emotion, energy, and more. Speak AI listens to how something was said, not only what was said, across meetings, interviews, phone calls, and any recording you upload.
Video analysis
Extract body language, screen sharing content, facial expressions, and more. When a recording has video, Speak AI reads what happened on camera and on screen, not just the audio track.
How multimodal analysis works inside Speak AI.
This is not a separate tool you switch to. It is built holistically into the platform you already use.
Your recording
Upload or record video, audio, or text, exactly like you already do.
Speak AI reads it together
The sound, the picture, and the words are analyzed together in a single pass, not three separate tools working on the same recording.
Use it everywhere
The same analysis shows up in AI chat, automations, fields, dashboards, and the meeting assistant, wherever you already work.
What you can ask once audio and video are part of the analysis.
Real prompt pairs from inside Speak AI. Each use case has an audio question and a video question, because the two modalities surface different things.
Meetings
Audio: “Try: where did energy drop in this meeting?”
Video: “Try: what was on the shared screen when we decided?”
Interviews
Audio: “Try: where did this participant hesitate?”
Video: “Try: what did their face do when I asked about price?”
Phone calls
Audio: “Try: how did their tone change after pricing came up?”
Video: “Try: what was on screen when they pushed back?”
Surveys
Audio: “Try: which responses sound frustrated, not neutral?”
Video: “Try: what did respondents show on camera that the text missed?”
Recorder
Audio: “Try: which submissions sound most enthusiastic?”
Video: “Try: how did respondents look answering question three?”
Translation
Audio: “Try: does the translation carry the same emotion?”
Video: “Try: what on-screen text still needs translating?”
APIs
Audio: “Try: return tone and energy per speaker as fields.”
Video: “Try: extract on-screen text and expressions per timestamp.”
Every category stops at the words.
Notetakers, insight repositories, sales intelligence, research tools, and even AI assistants all do the same thing. They turn a recording into text, then analyze the text. Here is where each one stops.
Academic coding
Codes transcripts by hand or by rule, but the delivery and the screen never enter the analysis.
Insight repository
Stores and tags transcript text, but tone and on-camera reaction never make it into the repository.
Sales intelligence
Reads sentiment from the words alone, so it cannot hear the hesitation before the answer.
Meetings
Turns the transcript into notes and summaries. The voice is never analyzed, and whatever was shared on screen stays invisible.
AI-moderated research
Runs the interview, then analyzes only the text of it.
Survey / CX
Scores what people typed or said in words, never how they sounded saying it.
LLM DIY
Takes a pasted transcript, but the audio and video never make it into your workflow around it.
Speak AI analyzes the audio, the video, and the transcript together, in the same platform your team already works in.
One hub, three modalities, and the tools built on them.
Multimodal AI is the umbrella. These are the places to go deeper on each piece.
Audio analysis
Tone, emotion, and energy detection across every recording with an audio track, from meetings to phone calls to interviews.
Video analysis
Body language, facial expressions, and screen sharing content, extracted from any recording that includes video.
Text analysis
The analysis layer underneath every Speak AI transcript: themes, sentiment, keywords, and structure.
Call scoring
A concrete application of multimodal analysis: score sales and support calls on tone and content together, not transcript keywords alone. This is the analysis layer behind our sales acceleration platform.
MCP
Bring Speak AI’s audio, video, and text analysis into the AI assistants you already use that support the Model Context Protocol.
Pricing
See how multimodal analysis fits into Speak AI plans as it rolls out.
Get access to multimodal analysis.
Multimodal analysis is enabled per workspace, not switched on for everyone at once. Book a call and we turn it on for yours, set it up with you, and add credits so your team can test it. Be among the first teams analyzing the full recording, not just the transcript.
Frequently asked questions
Common questions about multimodal AI and how it works inside Speak AI.
Multimodal AI refers to AI systems that can process and reason across more than one type of input, such as audio, video, and text, at the same time, rather than treating each one separately. In Speak AI, multimodal AI means a recording’s sound, picture, and words are all analyzed together instead of the recording being reduced to a transcript first.
Yes. Speak AI’s audio analysis reads tone, emotion, and energy directly from the recording, so you can ask things like where energy dropped in a meeting or how someone’s tone changed after a specific moment in the conversation.
Yes. Speak AI’s visual analysis extracts screen sharing content along with body language and facial expressions from any recording that includes video, so you can ask what was on screen at a specific point in the call.
Book a call with our team. Multimodal analysis is enabled per workspace, not switched on for everyone at once: we turn it on for yours, set it up with you, and add credits so your team can test it, rather than a self-serve toggle.
Yes. Multimodal analysis works on recordings you have already uploaded to Speak AI, not only on new uploads going forward.
Speak AI supports a broad range of languages, and multimodal analysis coverage varies by language. We will confirm coverage for your languages on the call.
Transcript-only tools convert a recording into text and analyze the text. Speak AI analyzes the recording itself, keeping tone, energy, facial expression, and screen content in the loop alongside the words, so questions about how something was said or shown have an answer, not just what was said.
Yes. Multimodal analysis applies across the recording types Speak AI already supports, including meetings, interviews, phone calls, surveys, recorder submissions, and translated recordings.
Your recordings are holding insight. Get it out.
Audio, video, and transcript analysis in one platform. Book a call to get first access and expert setup for your workspace.
Book your free consult
Pick a time below. We turn audio and video analysis on for your workspace, add credits so your first runs are on us, and set up your first analysis with you.
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