AI video analysis: what does the video say,
and who’s saying it?
Yes. Speak AI analyzes any video you upload, transcribing every word, identifying who is speaking, scoring tone and sentiment, and reading what’s on screen, then makes the whole library searchable and answerable in seconds.
Everything you need to analyze video at scale.
A video is words, a voice, and a screen. Speak AI reads all three at once — multimodal analysis — then turns the result into a searchable, queryable asset instead of a raw file.
Automatic transcription and speaker ID
Every video is transcribed with timestamps, and each speaker is labeled automatically, so a multi-person recording reads like a script instead of a wall of text.
Tone, sentiment, and energy
Speak AI scores sentiment line by line — 동영상 감정 분석 — and reads how something was said, not only what was said, so you catch the moments a transcript alone would miss. The same scoring runs on audio-only files through 오디오 분석.
What is visible on screen
Slides, shared screens, and on-camera context are read alongside the audio, so a demo call or a training video is understood as a whole, screen included.
키워드 및 주제 추출
Themes, keywords, and named entities are pulled from every video automatically, and you can compare frequency across your whole library instead of one file at a time.
멀티 모델 AI 채팅
Ask Claude, Gemini, or GPT a question about one video or your entire library and get a sourced answer with timestamps, not a re-watch.
Clips and shareable reports
Pull a clip from the exact moment that matters, export a report, or send a link to a stakeholder who does not have a platform login.
Who’s speaking in this video? Automatic speaker identification.
Speak AI labels each speaker automatically as it transcribes, so every line is attributed to a name or a speaker tag without you scrubbing back through the footage to check who said what.
Voice-based speaker separation
Speak AI separates the audio track by voice as it transcribes, tagging each distinct speaker across the whole video, including interviews, panels, and calls with three or more people.
Rename speakers once, everywhere
Swap a generic “Speaker 1” tag for a real name and it updates across the transcript, the 오디오 분석, and every clip pulled from that video.
Filter your library by speaker
Search across every recording for what one specific person said, on any video, without opening each file to find them.
Use cases teams rely on every day.
Video analysis is not one workflow. The same engine adapts to how your team actually works.
인터뷰 및 포커스 그룹
Speak AI helps 질적 연구자 move from hours of manual transcription to structured, coded insight in minutes.
Customer calls, scored
Video sales calls scored against your own call scoring playbook, with the speaker who made each point identified automatically. The same visual analysis drives sales acceleration for sales and coaching teams.
Webinars and demos
Extract the language your audience actually uses from webinar recordings and product demos, then repurpose it into content.
Onboarding and enablement
Make training recordings searchable by topic, so employees find the moment a concept was explained instead of rewatching the whole session.
Lectures and seminars
Students search recorded lectures by keyword and jump to the exact moment a concept was discussed.
Social and broadcast monitoring
Analyze podcast episodes, broadcast segments, and short-form clips, including video pulled from TikTok, at scale.
Media monitoring teams track brand and topic mentions across broadcast and social video at scale, and universities make academic video lectures searchable so students can jump to the exact moment a concept is explained.
Video analysis software that goes beyond a transcript.
Most video analysis tools stop at a transcript. You get text, maybe a timestamp, and you are on your own to work out what matters. Speak AI treats a video as structured data instead: 자동 전사 handles speech to text, then natural language processing extracts the keywords, topics, and sentiment shifts, and speaker identification attributes every line, so a single upload gives you a complete picture instead of a wall of text. Speak AI also reads the picture and the voice, not just the words. Visual analysis picks up on-screen text, slides, objects, logos, gestures and body language, while audio analysis picks up tone of voice, delivery and emotion, so what you score reflects how something was said and shown rather than only what was typed. Speaker identification, also called speaker diarization, labels who said each line. Under the hood you choose the transcription engine per file, sentiment runs line by line rather than as one page-level score, and custom fields with automations turn each video into structured records your team can filter, report on, and act on automatically.
Built for research and qualitative work
A single study with 20 participant interviews can produce 30+ hours of footage. Coding that by hand is slow; a plain transcription service leaves all the analytical work to the researcher. Speak AI’s 트랜스크립트 분석기 그리고 데이터 시각화 tools extract themes and sentiment automatically, and multi-model AI Chat lets a researcher ask “what did participants say about pricing?” across every interview and get a sourced answer, cutting weeks of manual coding down to hours without replacing the researcher’s judgment.
Editing tools, enterprise APIs, or an analysis-first platform
The market splits three ways. Editing tools treat transcription as a feature of cutting video, not analyzing it. Enterprise APIs give engineering teams full flexibility but need a build and ongoing maintenance. Speak AI sits in the analysis-first category: no developer required to set it up, with the analytical depth editing tools skip. AI 에이전트 can run the workflow end to end, and a 공유 가능한 미디어 라이브러리 puts the findings in front of people who never log into the platform. Developers who do want programmatic access connect the same pipeline to Claude, ChatGPT, and Cursor through Speak AI’s MCP server, no custom integration required.
Score sales call video against your own playbook.
A recorded sales call is video too, and it carries more than the words: who spoke, when, and what was on screen during the demo. 콜 스코어링 grades every call against the criteria your team already uses, tags the speaker who raised each objection, and shows a manager exactly where to coach, without a full re-watch.
- Your own rubric, mapped to structured fields, not a generic template.
- Every point attributed to the speaker who made it.
- Coaching notes generated from the actual call, with quoted evidence.
Bring your video library 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 every video, transcript, and speaker in your library in about 60 seconds.
Teams trust Speak AI for video analysis.
Questions we get about video analysis
Speak AI identifies and labels each speaker automatically while transcribing, so you can see who said what without scrubbing through the footage yourself.
Yes. Speak AI transcribes video, identifies speakers, scores sentiment, and reads what’s on screen, turning any upload into a searchable, structured asset.
Not directly. ChatGPT does not accept a raw video file for analysis on its own. Speak AI analyzes the video first, then lets you query the results with ChatGPT, Claude, or Gemini.
Upload the file or import it automatically from Zoom, Google Meet, or Microsoft Teams. Speak AI transcribes it, runs the analysis, and returns keywords, sentiment, and speaker labels within minutes.
Speak AI’s transcription runs at 95%+ accuracy across 100+ languages, and every transcript stays editable, so you can correct a name or a term in seconds.
Upload the video and Speak AI transcribes every word with timestamps, so you can read exactly what was said instead of replaying the clip repeatedly.
Speak AI separates a video’s audio track by voice as it transcribes, tagging each distinct speaker so the same voice is labeled consistently across a whole recording.
Speak AI supports all major video formats including MP4, MOV, AVI, WebM, MKV, WMV, and FLV. You can upload files directly or import recordings automatically from Zoom, Google Meet, and Microsoft Teams.
Speak AI transcribes the audio with speaker identification, then natural language processing extracts keywords, topics, and sentiment. The result is a searchable asset you can query with AI Chat or export as structured data.
Yes. Speak AI supports transcription and analysis in 100+ languages, including English, French, Spanish, German, Portuguese, Japanese, Korean, and Arabic, with keyword extraction and sentiment analysis built in for each.
Every video is analyzed for keywords, topics, named entities, sentiment, and speaker identification, plus timestamped transcripts and the ability to ask questions about the content using multi-model AI Chat.
Yes. Speak AI indexes every transcript in your library, so you can search by keyword, topic, speaker, or date across all your recordings, or ask AI Chat a question across the whole library at once.
AI Chat lets you query your video content using Claude, Gemini, or GPT, on one recording or your entire library, referencing your transcripts and analysis data to give sourced, timestamped answers.
Yes. Speak AI provides shareable transcript links, clips from key moments, exportable reports, and a shareable media library for teammates and stakeholders who do not have platform access.
Yes. Speak AI offers a free 7-day trial with full access to video analysis, transcription, speaker identification, and AI Chat. No credit card is required to start.
From one video to a searchable, speaker-labeled library.
Book a free consult, bring a real recording, and watch it transcribed, scored, and broken out by speaker before the meeting ends.
Building with the Speak AI API? The help center covers setup, imports, and troubleshooting.
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