
AI Video Knowledge Extraction
Recorded meetings, webinars and training sessions turn into written notes, decisions and action items, without anyone re-watching them.
Recorded meetings and training sessions are full of decisions and know-how that nobody has time to watch again. This build reads each recording, including any slides on screen, and pulls out the decisions, action items, steps and quotes under the headings you choose, with timestamps back to the source. A person checks every extraction before it reaches your drive or knowledge base.
- Decisions and action items captured without rewatching
- Timestamped notes link back to the exact moment
- Notes organized under the headings your team uses

What it is
AI Video Knowledge Extraction reads recorded meetings, webinars or training sessions and pulls out the decisions, action items, quotes and steps, organized under the headings you choose. It cross-checks speech against any slides or on-screen text, and a person reviews the output before it reaches your team.
Why businesses buy it
When knowledge lives only in recordings, it is effectively lost. People ask the same questions again, decisions get reopened, and new staff have to sit through hours of video to catch up. This build turns each recording into structured notes your team can read quickly and find later. Because the scope is fixed and written down, covering the headings, formats and destination, you know before ordering exactly what each extraction will look like and where it will land.
Problems this solves
Decisions made in recorded meetings are hard to find later
The pipeline reads recorded meetings, webinars and training sessions and pulls out decisions, action items, quotes and steps. Each item is filed under the headings you choose.
Action items from recordings slip because nobody wrote them down
Action items are extracted from the recording itself, not from someone's memory. A person reviews the output before it reaches your team, so the list can be trusted.
Training sessions hold know-how that never becomes written guidance
Steps and key points from recorded training are turned into organized notes. Your team gets written material it can reuse, built from sessions you already ran.
Spoken points contradict the slides and nobody spots it
The pipeline cross-checks speech against any slides or on-screen text in the recording. Mismatches are easier to spot before the notes are shared with the team.
A good fit if
Not the right fit if
How it works
- Recordings are collected. Meetings, webinars or training sessions land in the one destination we agree, pulled from Drive, Dropbox or wherever your calls are recorded.
- Speech and any on-screen content are read together. The transcript is cross-checked against slides or shared screens, so a decision mentioned on a slide is not missed.
- Key points are pulled out. Decisions, action items, owners, quotes and open questions are identified and organized under the headings you agreed during intake.
- Structured notes are produced in up to three formats, such as a summary document, an action item list, and a searchable index of the recording.
- A person reviews the extracted notes against the recording before release, checking that nothing important was missed or misread.
- Finished notes are delivered to your destination, ready to drop into your project tracker or share with the team.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- A handful of past recordings, so we can build the extraction against your real meetings or webinars.
- The headings and structure you want notes organized under, such as decisions, owners and next steps.
- Any slide decks or supporting documents that go with the recordings you extract from.
- Access to the one destination the finished notes should land in, such as your drive or project tool.
- The name of the person who approves the extraction structure before launch.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake, and one decision-maker who can approve outputs.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
Timeline
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,400 |
| Express | 15–25 working days | $4,000 |
| Rush | 10–20 working days | $4,600 |
What you receive at handover
- A knowledge extraction pipeline that turns recordings into organized decisions, action items, quotes and steps
- Your chosen headings and output structure set in the workflow and prompt configuration
- Up to three output formats delivered to one destination, with a person reviewing before release
- A test report on sample outputs you reviewed and approved
- An admin guide and a recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Knowledge locked in recordings can become written notes people actually use.
- Teams can act on decisions without rewatching whole meetings.
- Training material can grow from sessions you already hold.
- Recordings processed
- Count the outputs delivered to your destination each month.
- Time spent writing notes
- Ask the usual note-takers to log their time for two weeks before launch and two weeks after.
- Action item follow-through
- Track how many extracted action items are closed in your task tool.
Before you start: Note how many recordings you hold and how notes are produced today. Ask your note-takers for a rough weekly time estimate.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running it is paid in your own accounts, mostly AI transcription and analysis usage: roughly $20 to $150 a month, depending on how many recordings you process. A team extracting notes from a handful of meetings a week sits toward the lower end.
AI usage during the build and testing is also billed to your accounts, so you keep ownership of every provider relationship. Nothing runs through us.
Ask about running costsCustom requirements
If you need a second destination, more than three output formats, or notes written straight into a project tool, add a 'Custom requirements' note at checkout. You get a written Change Quote, and that work only starts once you accept it. Larger or bespoke projects use the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, updates, a monthly health report and change hours for new heading structures or small adjustments. It starts after the thirty days of support, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A meeting-notes app charges per seat, per month, whether you use it or not | A transcription service quotes per hour of recording | Ours is one fixed price, shown on this page before you buy |
| Structure | A meeting-notes app gives you a generic summary format | An agency writes notes to whatever brief you give each time | Ours follows the exact headings you approve, every time |
| Delivery | A meeting-notes app is ready in minutes but needs manual setup for your format | An agency's turnaround depends on their workload | Ours has a fixed delivery time shown before you buy, with faster options |
| Review step | A meeting-notes app publishes whatever it generates | An agency reviews on its own schedule | Ours puts a person on every extraction before it reaches you |
Questions about this product
What kind of video does AI Video Knowledge Extraction work with?
It is built for recorded meetings, webinars and training sessions, the kind of video where the value is in what was said and decided, not the picture. It reads speech and any slides or shared screens together, so a decision made verbally and one shown on a slide are both captured.
How is AI Video Knowledge Extraction different from AI Captioning?
AI Captioning, a separate build, produces captions and a transcript for a video. AI Video Knowledge Extraction goes further, reading that same recording and pulling out decisions, action items and quotes into a structured document, rather than giving you the raw words in order. Choose based on whether you need the words or the meaning.
Can AI Video Knowledge Extraction find one topic across many past recordings?
Not on its own. This build extracts structured notes from recordings as they come in. If you need to search a whole library of past videos for a specific moment or topic, AI Video Search builds that kind of searchable index instead, and the two work well side by side.
How much does AI Video Knowledge Extraction cost to run each month?
Running it is paid directly to your own AI providers, roughly $20 to $150 a month depending on how many recordings you process. We do not charge anything per recording or per minute. The one-time build price for each delivery speed is a separate figure, shown in the price and delivery panel on this page.
How accurate are the action items AI Video Knowledge Extraction pulls out?
A person reviews every extraction against the source recording before it reaches you, checking that decisions and action items match what was actually said. Twenty-five sample extractions are reviewed with you before launch, so the structure and accuracy are confirmed before it runs on its own.
What do I need to provide before AI Video Knowledge Extraction starts?
A handful of past recordings to build against, the headings you want notes organized under, any slide decks that go with those recordings, and access to the one destination the notes should land in. Account access is shared by adding our team as a user or creating a key you control, never by email.
Can I change the note structure after AI Video Knowledge Extraction is live?
Yes. Small changes to the headings or format fit inside the monthly change hours in maintenance. A larger restructuring, such as a new output format, comes through the Custom requirements route as a Change Quote. Maintenance also covers monitoring, fixes and a monthly health report. It starts after post-launch support and can be cancelled any month.
Who owns the notes AI Video Knowledge Extraction produces?
You do. The extracted notes, summaries and action item lists are yours outright once delivered, and the extraction runs inside your own accounts, so nothing needs to be migrated, licensed or handed back if you ever change providers. You keep full rights to reuse, edit or republish it anywhere, with no ongoing fee tied to the file itself.
Stop losing decisions inside recordings nobody re-watches.
Order AI Video Knowledge Extraction and it goes live on a fixed delivery date, turning your recordings into notes your team can actually use.
Works well with

