/* =========================
Speak – Video Agents (page-scoped)
– Uses Knowledge Base format (SEO body 800–1,200 words)
– Keeps code snippet + FAQ schema
========================= */
.sp-video-agents{
–sp-text: var(–bodyText, #0f172a);
–sp-muted: var(–bodyMuted, #475569);
–sp-light: var(–bodyLight, #64748b);
–sp-border: var(–border, #e5e7eb);
–sp-soft: var(–soft, #f8fafc);
–sp-alt: var(–alt, #f1f5f9);
–sp-shadow: var(–shadowMd, 0 10px 30px rgba(0,0,0,.06));
–sp-radius: 14px;
–sp-focus: 0 0 0 3px rgba(37, 99, 235, .22);
color: var(–sp-text);
font-family: var(–fontBody, system-ui, -apple-system, BlinkMacSystemFont, “Segoe UI”, Roboto, Arial, sans-serif);
}
.sp-video-agents *{ box-sizing:border-box; }
.sp-video-agents a{ color: inherit; }
.sp-video-agents a:not(.elementor-button):not(.elementor-button-link):not([role=”button”]){
text-decoration: underline;
text-underline-offset: 3px;
}
.sp-video-agents a:not(.elementor-button):not(.elementor-button-link):hover{
text-decoration-thickness: 2px;
}
.sp-video-agents a.elementor-button,
.sp-video-agents a.elementor-button:hover{
text-decoration: none !important;
}
.sp-video-agents section{
padding: clamp(2.75rem, 5.5vw, 4.75rem) 1.25rem;
}
.sp-video-agents .sp-container{
max-width: 1180px;
margin: 0 auto;
}
.sp-video-agents .sp-kicker{
font-size: .85rem;
font-weight: 650;
color: var(–sp-muted);
letter-spacing: .05em;
text-transform: uppercase;
margin: 0 0 .6rem;
}
.sp-video-agents h1{
font-family: var(–fontHeading, inherit);
font-size: clamp(2.05rem, 4.2vw, 3.05rem);
line-height: 1.06;
margin: 0 0 1rem;
letter-spacing: -0.02em;
}
.sp-video-agents h2{
font-family: var(–fontHeading, inherit);
font-size: clamp(1.55rem, 2.6vw, 2.05rem);
line-height: 1.15;
margin: 0 0 1rem;
letter-spacing: -0.01em;
}
.sp-video-agents .sp-lead{
font-size: 1.1rem;
color: var(–sp-muted);
line-height: 1.55;
max-width: 920px;
margin: 0;
}
.sp-video-agents .sp-hero{
background: #fff;
border-bottom: 1px solid var(–sp-border);
}
.sp-video-agents .sp-hero-grid{
display: grid;
grid-template-columns: 1.1fr .9fr;
gap: 1.75rem;
align-items: start;
}
@media (max-width: 920px){
.sp-video-agents .sp-hero-grid{ grid-template-columns: 1fr; }
}
.sp-video-agents .sp-cta-row{
display:flex;
flex-wrap:wrap;
gap: .75rem;
margin-top: 1.35rem;
align-items:center;
}
.sp-video-agents .sp-cta-row .elementor-button{
display:inline-flex;
align-items:center;
justify-content:center;
gap:.5rem;
}
.sp-video-agents .sp-trial{
margin-top: .85rem;
color: var(–sp-muted);
font-size: .9rem;
line-height: 1.45;
}
.sp-video-agents .sp-trial b{ color: var(–sp-text); font-weight: 650; }
.sp-video-agents .sp-hero-side{
border: 1px solid var(–sp-border);
border-radius: var(–sp-radius);
background: var(–sp-soft);
padding: 1.15rem 1.15rem 1.25rem;
box-shadow: var(–sp-shadow);
}
.sp-video-agents .sp-hero-side h3{
margin: 0 0 .65rem;
font-size: 1rem;
font-weight: 700;
letter-spacing: -0.01em;
}
.sp-video-agents .sp-mini-list{
margin: 0;
padding-left: 1.1rem;
color: var(–sp-muted);
line-height: 1.55;
font-size: .95rem;
}
.sp-video-agents .sp-mini-list li{ margin: .25rem 0; }
.sp-video-agents .sp-pills{
display:flex;
flex-wrap: wrap;
gap: .5rem;
margin-top: 1rem;
}
.sp-video-agents .sp-pill{
display:inline-flex;
align-items:center;
gap:.45rem;
padding: .35rem .75rem;
border-radius: 999px;
border: 1px solid var(–sp-border);
background: #fff;
font-size: .82rem;
color: var(–sp-muted);
white-space: nowrap;
}
.sp-video-agents .sp-section-alt{
background: var(–sp-soft);
border-top: 1px solid var(–sp-border);
border-bottom: 1px solid var(–sp-border);
}
/* Trust bar */
.sp-video-agents .sp-trust{
padding-top: clamp(1.8rem, 3vw, 2.5rem);
padding-bottom: clamp(1.8rem, 3vw, 2.5rem);
background: #fff;
border-bottom: 1px solid var(–sp-border);
}
.sp-video-agents .sp-trust-pill{
display:inline-block;
background: var(–sp-soft);
border: 1px solid var(–sp-border);
padding: .35rem .75rem;
border-radius: 999px;
font-size: .85rem;
color: var(–sp-muted);
}
.sp-video-agents .sp-trust-pill b{ color: var(–sp-text); font-weight: 700; }
.sp-video-agents .sp-logo-grid{
display:grid;
grid-template-columns: repeat(6, minmax(0, 1fr));
gap: 1rem;
align-items:center;
margin-top: 1.15rem;
}
@media (max-width: 1020px){
.sp-video-agents .sp-logo-grid{ grid-template-columns: repeat(4, minmax(0, 1fr)); }
}
@media (max-width: 560px){
.sp-video-agents .sp-logo-grid{ grid-template-columns: repeat(2, minmax(0, 1fr)); }
}
.sp-video-agents .sp-logo{
display:flex;
align-items:center;
justify-content:center;
padding: .6rem .5rem;
border-radius: 12px;
border: 1px solid transparent;
}
.sp-video-agents .sp-logo img{
max-height: 42px;
width: auto;
filter: grayscale(1);
opacity: .78;
transition: all .18s ease;
}
.sp-video-agents .sp-logo:hover{
border-color: var(–sp-border);
background: var(–sp-soft);
}
.sp-video-agents .sp-logo:hover img{
filter:none;
opacity: 1;
}
/* Metrics */
.sp-video-agents .sp-metrics{
display:grid;
grid-template-columns: repeat(4, minmax(0,1fr));
gap: 1rem;
margin-top: 1.25rem;
}
@media (max-width: 980px){
.sp-video-agents .sp-metrics{ grid-template-columns: repeat(2, minmax(0,1fr)); }
}
.sp-video-agents .sp-metric{
background: #fff;
border: 1px solid var(–sp-border);
border-radius: var(–sp-radius);
padding: 1.05rem 1.1rem;
box-shadow: var(–sp-shadow);
}
.sp-video-agents .sp-metric b{
display:block;
font-size: 1.15rem;
letter-spacing: -0.01em;
margin-bottom: .25rem;
}
.sp-video-agents .sp-metric span{
color: var(–sp-muted);
font-size: .9rem;
line-height: 1.35;
display:block;
}
/* Cards */
.sp-video-agents .sp-grid{
display:grid;
grid-template-columns: repeat(3, minmax(0, 1fr));
gap: 1.15rem;
margin-top: 1.25rem;
}
@media (max-width: 980px){
.sp-video-agents .sp-grid{ grid-template-columns: repeat(2, minmax(0,1fr)); }
}
@media (max-width: 620px){
.sp-video-agents .sp-grid{ grid-template-columns: 1fr; }
}
.sp-video-agents .sp-card{
background:#fff;
border: 1px solid var(–sp-border);
border-radius: var(–sp-radius);
padding: 1.25rem 1.25rem 1.15rem;
box-shadow: var(–sp-shadow);
display:flex;
flex-direction: column;
min-height: 190px;
}
.sp-video-agents .sp-ic{
width: 38px;
height: 38px;
border-radius: 12px;
border: 1px solid var(–sp-border);
background: var(–sp-soft);
display:flex;
align-items:center;
justify-content:center;
margin-bottom: .9rem;
flex: 0 0 auto;
}
.sp-video-agents .sp-ic svg{
width: 20px;
height: 20px;
stroke: var(–sp-muted);
fill: none;
stroke-width: 2;
stroke-linecap: round;
stroke-linejoin: round;
}
.sp-video-agents .sp-card h3{
margin: 0 0 .55rem;
font-size: 1.02rem;
line-height: 1.25;
letter-spacing: -0.01em;
min-height: 2.6em;
}
.sp-video-agents .sp-card p{
margin: 0;
color: var(–sp-muted);
line-height: 1.55;
font-size: .95rem;
min-height: 4.9em;
}
.sp-video-agents .sp-card .sp-card-foot{
margin-top: .9rem;
display:flex;
gap: .75rem;
flex-wrap:wrap;
align-items:center;
}
.sp-video-agents .sp-chip{
font-size: .82rem;
color: var(–sp-muted);
border: 1px solid var(–sp-border);
background: var(–sp-soft);
border-radius: 999px;
padding: .25rem .6rem;
}
/* Hub split */
.sp-video-agents .sp-split{
display:grid;
grid-template-columns: repeat(2, minmax(0,1fr));
gap: 1.15rem;
margin-top: 1.25rem;
}
@media (max-width: 920px){
.sp-video-agents .sp-split{ grid-template-columns: 1fr; }
}
.sp-video-agents .sp-split-card{
border: 1px solid var(–sp-border);
border-radius: var(–sp-radius);
background: #fff;
padding: 1.2rem 1.2rem 1.1rem;
box-shadow: var(–sp-shadow);
}
.sp-video-agents .sp-split-card h3{
margin: 0 0 .5rem;
font-size: 1.08rem;
letter-spacing: -0.01em;
}
.sp-video-agents .sp-split-card p{
margin: 0 0 .9rem;
color: var(–sp-muted);
line-height: 1.55;
font-size: .95rem;
}
.sp-video-agents .sp-split-actions{
display:flex;
gap:.75rem;
flex-wrap:wrap;
align-items:center;
}
/* Integrations row */
.sp-video-agents .sp-integrations{
display:flex;
flex-wrap:wrap;
gap: 1rem;
align-items:center;
margin-top: 1.1rem;
}
.sp-video-agents .sp-integrations img{
height: 34px;
width:auto;
opacity: .95;
}
/* FAQ */
.sp-video-agents .sp-faq-wrap{
margin-top: 1.25rem;
background: #fff;
border: 1px solid var(–sp-border);
border-radius: var(–sp-radius);
overflow:hidden;
box-shadow: var(–sp-shadow);
}
.sp-video-agents .sp-at-faq{
border-bottom: 1px solid var(–sp-border);
padding: 0 1.15rem;
}
.sp-video-agents .sp-at-faq:last-child{ border-bottom:none; }
.sp-video-agents .sp-at-faq-q{
width:100%;
text-align:left;
padding: 1rem 0;
background:none;
border:none;
cursor:pointer;
font-weight: 700;
display:flex;
align-items:center;
justify-content: space-between;
gap: 1rem;
color: var(–sp-text);
font-size: .98rem;
}
.sp-video-agents .sp-at-faq-q:focus{
outline:none;
box-shadow: var(–sp-focus);
border-radius: 10px;
}
.sp-video-agents .sp-at-faq-ic{
width: 28px;
height: 28px;
border-radius: 999px;
border: 1px solid var(–sp-border);
background: var(–sp-soft);
display:flex;
align-items:center;
justify-content:center;
font-weight: 800;
color: var(–sp-muted);
flex: 0 0 auto;
}
.sp-video-agents .sp-at-faq-a{
padding: 0 0 1rem;
color: var(–sp-muted);
line-height: 1.6;
font-size: .95rem;
}
/* Code snippet */
.sp-video-agents .sp-code{
background:#0b1220;
color:#e5e7eb;
border-radius:14px;
padding:14px;
overflow:auto;
font-size:13px;
line-height:1.55;
border:1px solid rgba(255,255,255,.08);
margin-top: .9rem;
}
.sp-video-agents .sp-code code{ color:inherit; }
.sp-video-agents .sp-code__row{
display:flex;
align-items:center;
justify-content:space-between;
gap:10px;
margin:0 0 10px 0;
}
.sp-video-agents .sp-code__label{
font-size:12px;
letter-spacing:.02em;
text-transform:uppercase;
opacity:.9;
font-weight:700;
}
.sp-video-agents .sp-copybtn{
background:rgba(255,255,255,.08);
border:1px solid rgba(255,255,255,.14);
color:#fff;
border-radius:12px;
padding:8px 10px;
cursor:pointer;
font-weight:700;
font-size:12px;
}
.sp-video-agents .sp-copybtn:hover{ background:rgba(255,255,255,.12); }
/* SEO body */
.sp-video-agents .sp-seo{
background:#fff;
border-top: 1px solid var(–sp-border);
border-bottom: 1px solid var(–sp-border);
}
.sp-video-agents .sp-seo-grid{
display:grid;
grid-template-columns: 1.05fr .95fr;
gap: 1.5rem;
align-items:start;
margin-top: 1.25rem;
}
@media (max-width: 980px){
.sp-video-agents .sp-seo-grid{ grid-template-columns: 1fr; }
}
.sp-video-agents .sp-seo-card{
background: var(–sp-soft);
border: 1px solid var(–sp-border);
border-radius: var(–sp-radius);
padding: 1.15rem 1.15rem 1.05rem;
box-shadow: var(–sp-shadow);
}
.sp-video-agents .sp-seo-card h3{
margin: 0 0 .55rem;
font-size: 1.02rem;
letter-spacing:-0.01em;
}
.sp-video-agents .sp-seo-card p{
margin:0 0 .85rem;
color: var(–sp-muted);
line-height:1.6;
font-size:.95rem;
}
.sp-video-agents .sp-seo-card ul{
margin: 0;
padding-left: 1.1rem;
color: var(–sp-muted);
line-height: 1.6;
font-size: .95rem;
}
.sp-video-agents .sp-seo-card li{ margin: .35rem 0; }
.sp-video-agents .sp-seo p{
color: var(–sp-muted);
line-height: 1.7;
font-size: 1rem;
margin: 0 0 1rem;
max-width: 980px;
}
.sp-video-agents .sp-seo h3{
margin: 1.25rem 0 .55rem;
font-size: 1.05rem;
letter-spacing:-0.01em;
}
/* Final CTA */
.sp-video-agents .sp-final{
background:#fff;
border-top: 1px solid var(–sp-border);
}
.sp-video-agents .sp-final-grid{
display:grid;
grid-template-columns: repeat(2, minmax(0,1fr));
gap: 1.25rem;
margin-top: 1.25rem;
text-align:left;
}
@media (max-width: 920px){
.sp-video-agents .sp-final-grid{ grid-template-columns: 1fr; }
}
.sp-video-agents .sp-panel{
background: var(–sp-soft);
border: 1px solid var(–sp-border);
border-radius: var(–sp-radius);
padding: 1.25rem;
box-shadow: var(–sp-shadow);
}
.sp-video-agents .sp-panel h3{
margin:0 0 .5rem;
font-size: 1.02rem;
letter-spacing:-0.01em;
}
.sp-video-agents .sp-panel p{
margin:0 0 .95rem;
color: var(–sp-muted);
line-height:1.55;
font-size:.95rem;
}
.sp-video-agents .sp-panel .sp-panel-actions{
display:flex;
gap:.75rem;
flex-wrap:wrap;
align-items:center;
}
AI video agents that answer from your knowledge base, not generic guesses
Create a video agent for your website, support, onboarding, or internal ops. Ground every answer in your transcripts, docs, and real conversations, so the agent stays accurate and easy to trust.
Try Speak Free
Book Consult
See FAQs
7-day trial includes credits (personal email), and more credits (work email) of transcription and AI analysis.
More human
Video answers that feel like a real teammate
More accurate
Grounded in your sources, not internet guesswork
More scalable
Handle repetitive questions without extra headcount
More consistent
One knowledge base across support, sales, and onboarding
Choose the video agent workflow that matches your use case
Some teams want a customer-facing agent on their site. Others want an internal agent for enablement and ops. Both work best when they answer from the same source library, with clean separation by folder.
Customer-facing video agent
Embed on your website to answer product questions, pricing and plan rules, onboarding steps, and common troubleshooting with clear escalation to a human.
Internal video agent
Perfect for SOPs, training videos, policy guidance, and “how do we do X?” questions. Keep knowledge organized by team or function for clean answers.
Why teams build video agents with Speak
Video agents are most valuable when they are accurate, consistent, and grounded in real source content. Speak helps you capture that content, keep it organized, and connect it to an agent experience that scales.
Answers grounded in transcripts and docs
Instead of improvising, the agent can reference your library: transcripts, SOPs, product docs, and training recordings, organized in folders.
Grounding
Sources
Structured fields for better precision
Add metadata like plan, region, product area, and version so the agent can answer correctly and avoid mixing contexts.
Metadata
Filters
Answer-ready summaries and snippets
Generate summaries, themes, and keywords from each source so you can browse fast and improve coverage over time.
Summaries
Themes
Clear escalation and traceability
When the question needs a human, route it. When the answer exists, back it up with shareable context for verification and trust.
Handoff
Trust
Permission-aware separation
Keep customer-facing knowledge separate from internal SOPs, and split by team or client using folders for clean, safe retrieval.
Folders
Separation
One system from capture to agent
Record meetings, upload videos, analyze content, and power the agent from the same library. Less tooling, fewer gaps.
Capture
Agent-ready
Integrations that keep your video agent up to date
Pull in new recordings and keep your knowledge base fresh, so the agent reflects how your team actually works today.
AI video agents: how to deliver human-feeling answers from real knowledge
AI video agents are quickly becoming the most effective way to help customers and teams self-serve answers. But the difference between “wow” and “never using this again” is accuracy. The best video agent is not just a face that talks. It is a retrieval system that can answer from your content, stay consistent with current policies, and handle edge cases without making things up.
A video agent is an AI assistant that responds using video, often with an avatar or presenter-style output. It can be embedded on a website, used in a product, or deployed internally for enablement. What makes video agents valuable is the combination of clarity and presence: customers can ask questions in natural language, and the agent responds in a way that feels more human than text-only chat. The problem is that a video interface does not automatically make answers better. If the underlying knowledge is messy, outdated, or scattered across tools, the agent becomes a confident source of misinformation. That is why agent quality starts with the knowledge base.
What is an AI video agent?
An AI video agent is a conversational interface that can answer questions and deliver responses as short videos. In practice, most teams use video agents for a few core jobs: answering frequently asked product questions, guiding onboarding steps, summarizing processes, and routing more complex issues to a human. The “AI” part is not just generation. It is retrieval and reasoning over the right source materials, like help docs, SOPs, demo recordings, training videos, and real customer conversations.
Why video agents fail without a strong knowledge base
Most teams have knowledge in too many places: a help center, internal docs, Slack threads, onboarding calls, and Zoom recordings. Traditional help centers are written for browsing and they go stale quickly. Meanwhile, the highest-signal information often lives in recordings: the nuance, the “why,” and the real edge cases. If your agent is not grounded in those sources, it either answers too vaguely or it hallucinates. A video agent makes that worse, because a confident video answer can feel more authoritative than text. The fix is to centralize sources, make them searchable, and structure them so the agent can retrieve the right context every time.
How Speak helps you build a video agent that stays accurate
Speak is built for turning hard-to-use sources into agent-ready knowledge. Upload audio and video, ingest meeting recordings, and add documents into one organized media library. Speak generates clean transcripts, summaries, keywords, and themes so the content becomes searchable and reusable. You then organize everything into folders, such as “Product KB,” “Support KB,” “Onboarding,” or “Internal SOPs,” and you can add metadata fields like product area, plan, region, and version. That structure is what enables reliable retrieval and prevents mixed-context answers.
Designing your video agent for customer support
For support, your goal is consistency and fast resolution. Start by mapping your top questions to the best sources: current help articles and the highest-quality call recordings where the solution is explained clearly. Add “known issues” recordings that show how your team handles tricky cases. Then separate knowledge by product area or plan, so the agent can answer correctly for the user’s situation. The agent should also have a clear escalation path: when confidence is low or the user is asking about billing, permissions, or account-specific changes, route to a human with the conversation context attached.
Designing your video agent for onboarding and enablement
Video agents shine for onboarding because they can explain steps in a friendly, guided way. The strongest knowledge base sources here are training videos, internal walkthroughs, and short demos. In Speak, keep these in an “Onboarding and Training” folder and add metadata for role (admin vs contributor), persona (support vs research), and product area. This allows the agent to tailor answers and reduces confusion. Over time, you can update the knowledge base simply by uploading new trainings and tagging them with the latest version.
What to include (practical checklist)
If you want a video agent that feels helpful and stays correct, start small and build coverage. Include canonical references (current docs and policy rules), real-world examples (calls and demos where nuance is explained), and a few metadata fields to keep answers precise. A simple review cadence matters too: whenever you ship a major product change or update pricing rules, add the new source material and tag it with a version. That is how the agent stays aligned with reality.
Why source-backed answers build trust
Users adopt AI agents when they can trust them. Source-backed answers reduce rework, cut support time, and improve consistency across teams. With Speak, your sources are not trapped in video files. They are converted into searchable text and structured insights, so your team can validate answers, improve the knowledge base, and scale the agent confidently.
Video agent for sales and demos
If you sell a complex product, a video agent can handle first-touch questions and reduce demo load. Use a “Sales and Demos” folder that includes recorded demos, objection handling calls, and product positioning notes. Keep pricing and plan rules in a separate “Canonical” folder so updates are easy. The video agent can explain what the product does, who it is for, and what a next step looks like, then route to a human for qualification.
Video agent for internal operations
Internal questions can drain time: “Where is the policy?” “How do we request access?” “What’s the process for refunds?” Organize SOPs, policy docs, and training recordings into an “Internal Ops” folder and add metadata by team. This gives you a consistent internal assistant that reduces tribal knowledge and improves onboarding speed.
Video agent for research enablement
Research teams often have training and methodology scattered across docs and recordings. By storing interview guides, training sessions, and best-practice recordings in Speak, a video agent can answer “how do we run X?” and “what does good look like?” questions with grounded explanations and reusable snippets.
Frequently asked questions
Common questions about AI video agents, knowledge base grounding, setup, and how teams deploy agents for support, onboarding, and internal ops.
An AI video agent is a conversational agent that responds using video, often with an avatar or presenter-style output, and answers questions based on a connected knowledge base.
Speak organizes your real sources (recordings and documents) into folders, generates transcripts and structured outputs, and uses that library as the agent’s grounding layer to reduce generic or incorrect answers.
Start with the top 25 questions your customers or team ask. Upload the best supporting sources for each (docs plus a few real calls or trainings), then add basic metadata like product area and version.
Yes. Use folders to separate knowledge by team, project, or client. This prevents mixed-context answers and helps you deploy different agents for different audiences.
Yes. Speak supports 100+ languages for transcription and analysis, which is useful for multilingual support, global onboarding, and international research workflows.
Yes. Start a 7-day trial with free credits included, upload a small set of sources, and validate the workflow end-to-end before scaling.
Keep a simple cadence: when you ship a product change or update a policy, upload the new source content, tag it with a version, and keep canonical rules in a dedicated folder.
Try Speak Free
Book Consult
Help Docs
Launch a video agent that customers and teammates actually use
Create a folder, upload your best sources, and make everything searchable. Then connect those folders to an AI Agent experience to deliver reliable, human-feeling answers at scale.
Start self-serve
Create a knowledge base folder, upload sources, generate transcripts and summaries, and test agent-ready Q&A during your trial.
Work with our team
Want a production-ready structure? We’ll help you design folders, metadata, and a content plan that keeps answers accurate over time.
Questions? Call +1 (647) 372-1565 or email [email protected]
Explore Speak AI
Speak AI is a voice technology and AI research platform. Transcription in 100+ languages, NLP analytics, sentiment analysis, AI agents, and enterprise consulting.
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How Teams Deploy Video Agents with Speak AI
Video agents are automated pipelines that ingest video content, extract structured data, and trigger downstream actions — without human review at each step. Speak AI provides the transcription and analysis layer that powers these agents, accessible via REST API, webhooks, and MCP server.
Common video agent deployment patterns
- Video survey processing — automatically transcribe, code, and aggregate hundreds of video survey responses
- Media monitoring — ingest video clips from multiple sources, extract keywords and entities, trigger alerts on specified topics
- Content moderation — analyze video transcripts for policy violations or flagged terms at scale
- Compliance recording review — process call recordings and meeting videos for regulatory or audit requirements
- Research data pipelines — submit video interviews, receive structured JSON with themes, sentiment, and speaker data
How to build a video agent with Speak AI
Submit video files or URLs via the Speak AI API, configure webhooks to receive completed transcriptions and analysis results, and pipe the structured JSON into your downstream system. The API supports batch submission for high-volume workflows.
Build video agents on Speak AI’s analysis API — book a demo to see the architecture.
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