Turn Recordings into a Searchable Knowledge Base
A knowledge base generator that starts from what people actually said in a meeting, a training, or a walkthrough, not a blank page. Upload a file, paste a link, or record one directly, and it comes back with a transcript and AI notes, filed in a library you and your team can search and ask questions of later.
That is different from a help center builder like Zendesk or Helpjuice, where you write and organize the articles yourself. Here, the library is built from your recordings: one AI chat that searches and answers from every recording in your library, or a single folder.
What you get from every recording:
- A transcript with speaker labels and timestamps, in 100+ languages
- AI notes: a summary, the main points, and action items with an owner and deadline, and decisions listed separately
- search across recordings by name or transcript
- one AI chat that searches and answers from every recording in your library, or a single folder
- team workspaces and share links
- Export as PDF, DOCX, TXT, SRT and VTT
- Free plan: 2 transcriptions of recordings up to 45 minutes each, with AI chat
How to Build a Knowledge Base from Recordings
- Add the recordings: Upload video or audio files, paste a link, or record trainings and walkthroughs directly. Each one becomes a separate entry in your library.
- Let it process: The transcript, speaker labels and AI notes are ready a few minutes after upload. Search by name or by what was said, in any recording.
- Ask, share and export: Ask the AI chat a question across every recording in the library, or scope it to one folder. Share the library with your team, and export any document as PDF, DOCX, TXT, SRT and VTT.
Accuracy depends on the audio: a clear voice close to the microphone transcribes well, while background noise or several people talking over each other leaves gaps. See how we measure accuracy.
Knowledge Base Generator vs Other Apps
ScreenApp’s library is built from recordings you add yourself. It does not publish a public help center, and it has no automatic categorization or duplicate detection: you organize recordings into folders, and search and the AI chat do the finding for you.
| Feature | ScreenApp | Notion | Zendesk | Helpjuice |
|---|---|---|---|---|
| Public help center | Not offered | Free plan (publish a page to the web) | Yes, a dedicated help center product (Zendesk Knowledge / Guide) | Yes |
| AI article writing | Not offered | AI meeting notes on Business and Enterprise plans | recommends an article structure and flags outdated or duplicate content with AI copilot | AI Writer that drafts articles from a prompt |
| Search and AI chat across content | one AI chat that searches and answers from every recording in your library, or a single folder | Not stated | Instant answers within help center search | Not stated |
| Native Slack, Docs or Notion connectors | Not offered (works with Zapier, Slack and Notion through the API) | Not stated | Not stated | Not stated |
| Paid plan | $19/month annual | $20/user/month | $55/agent/month annual | $249/month |
Sources, checked 2026-09-17: ScreenApp pricing, notion.com/pricing, zendesk.com/service/help-center/, helpjuice.com/pricing, notion.com/product/ai, Slack integration options, zendesk.com/pricing/
- vs Notion: Notion is a wiki and workspace. Publishing a page to the web is on its Free plan (publish a page to the web), and its AI meeting notes feature needs Business and Enterprise plans. It is built for writing pages, not for turning a library of recordings into a searchable archive.
- vs Zendesk: Zendesk’s Knowledge product is built for a public-facing customer help center: it recommends an article structure and flags outdated or duplicate content with AI copilot, starting at $55 a month per agent, billed annually. ScreenApp does not publish a help center at all; it is a library for your own recordings.
- vs Helpjuice: Helpjuice is a dedicated help center tool with an AI Writer that drafts articles from a prompt, from $249 a month. It is not built to take a recording and generate the article from what was said in it.
Who Builds a Knowledge Base This Way
Customer support teams record how they walk a customer through a fix, and the AI notes become the source material for a support article someone else writes up properly.
Internal operations and HR teams record policy walkthroughs and onboarding sessions, then let new hires search the library and ask the AI chat instead of interrupting a teammate.
Training teams record a session once and turn it into a library entry with a transcript and notes, so it can be replayed or searched instead of re-run for every new group.
Product and engineering teams record how a feature works or how an incident was resolved, and search the library later instead of trying to remember which meeting covered it.
Startups and small teams without a dedicated documentation person build a rough, searchable record of how things are done, from meetings they were already having.
