Turn Recorded Calls, Webinars and Lectures into Structured Data

Everything important now happens on camera. Sales calls, customer interviews, user research, webinars, lectures and team meetings all get recorded. Then the recordings sit there, because nobody has time to rewatch them.

What's in them is valuable: a customer's objection, a feature request, the question 40 attendees asked, the exact moment a professor explained the hardest concept of the term. But while it's locked inside a video file, nobody can use it.

The Clipperia Video Intelligence API gets it out. You ask the recording what you need, and you get back clean, structured data with a timestamp for every item. It's ready for your CRM, your dashboard or your product.

What you can extract

From sales and customer calls

• Objections raised, and how the rep handled each one
• Competitors mentioned, and in what context
• Pricing discussions, budget signals and timelines
• Next steps and who owns them
• Feature requests and complaints

From user research and interviews

• Pain points, with the participant's own words
• Moments of confusion or frustration in a usability session
• Quotes worth sharing with the product team
• Themes across a set of interviews (ask each one the same question, then compare the answers)

From webinars

• Questions from the audience, and the answers given
• Key takeaways and frameworks presented
• Product demos and when they start
• Moments worth turning into clips or social posts

From lectures and courses

• Chapters with titles and start times
• Concepts covered and where each one is explained
• Definitions, examples and worked problems
• Quiz questions based on the content

From meetings

• Decisions made
• Action items, owners and deadlines
• Open questions and blockers
• A summary for people who missed it

How it works

Step 1: Describe what you need

Write the question as you'd brief an assistant, and describe the fields you want back. For a sales call:

"From this call, list every objection the customer raised. For each one, give a short label, the customer's words, how the rep responded, whether it was resolved, and the timestamp. Also list agreed next steps with an owner for each."

For a lecture:

"Split this lecture into chapters. For each, give a title, the key concepts covered, a one-sentence summary, and the start time. Then write five quiz questions with answers based on the content."

Step 2: Send the recording once

Send the recording when it's ready, for example automatically when your meeting or webinar tool finishes the export. You don't run any video infrastructure, and you're notified when the answer is ready.

Step 3: Put the data where it's useful

Because the answer comes back in exactly the fields you asked for, you can send it straight to where it belongs:

• Objections and next steps → your CRM
• Feature requests → your product feedback board
• Chapters and quiz questions → your course platform
• Action items → your task tracker
• Q&A and highlights → your content team

Every item carries a timestamp, so anyone reading it can click through to the exact moment in the recording for context.

Ask more questions later

The heavy lifting happens once, when the recording arrives. After that, each new question is just a question.

Your sales team might start by extracting objections. Next quarter, marketing wants every competitor mention from the same calls. Product wants every feature request. Nobody re-uploads or reprocesses anything, and nobody pays to handle the whole file again. One recording can answer many teams' questions.

Spoken vs. on-screen information

Most of what matters in calls, webinars and lectures is in what's said. Those questions are standard analyses, the fast, inexpensive default.

Sometimes the important detail is on screen: the numbers on a slide, a diagram on the whiteboard, the screen being shared during a demo. For those, use a visual analysis. It costs more, so use it for the recordings or moments where the screen matters.

Why not just use a transcript?

A transcript tells you what was said. It doesn't tell you what it means, and it's still a wall of text someone has to read.

You'd still need to work out which lines are objections, which are action items, and which question the presenter was answering. And a transcript misses everything that's shown rather than said. The Video Intelligence API skips that step: you ask for the meaning directly and get it back as data.

Who this is for

• Sales and revenue tools adding call insights to their product
• Customer success and support teams looking for patterns in recorded calls
• Research and product teams working through interview recordings
• Webinar and event platforms that want automatic recaps and highlights
• Course and education platforms that want chapters, notes and quizzes for every lesson
• Internal tools teams making recorded meetings useful

Get started

The Video Intelligence API is opening to the waitlist first. When you join, tell us what kind of recordings you have and what you want to get out of them. That helps us decide who gets access first.

Want to turn webinars into social clips instead of data? Read how to repurpose webinar recordings into clips with the Clipperia app.