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AI lecture-video intelligence

Make every recorded lecture searchable, verifiable, and reusable.

SuperLearn indexes speech, slides, board handwriting, and textbook pages into one searchable space. Learners click concepts instead of scrubbing timelines. Every AI answer cites its sources — or declines to answer.

Request a demoSee how it works

Studying on your own? See SuperLearn for learners

The SuperLearn web player showing a calculus lecture video beside an automatically generated table of contents with timestamped chapters such as 'The Concept of Derivatives' and 'Chain Rule', and a lecture transcript panel below the video.

The SuperLearn player: video, auto-generated table of contents, and transcript in one view.

The problem

Institutions own thousands of lecture hours nobody can use.

Recorded lectures fail at four points — and each failure is structural, not a missing feature.

  • Navigation

    Finding one concept inside a 50-minute video means scrubbing a timeline. Many learners stop trying before they finish.

  • Trust

    Generative AI tutors hallucinate. Learners re-verify every answer against the textbook, and the work of studying doubles.

  • Supply

    Instructors spend over 60 minutes of manual post-production per 50-minute lecture, so content pipelines stall.

  • Cost

    Frame-level vision AI is priced beyond public and vocational institutions, so archives stay unindexed.

The shared consequence: an archive that exists, and sits unused.

Illustration titled '50 minutes. One missing moment.' showing the SuperLearn player with a conventional scrub-bar timeline highlighted below the lecture video, representing how finding one concept requires scrubbing the entire recording.

How it works

Four modalities. One index.

Upload a lecture. Five to fifteen minutes later, it is a structured, searchable asset.

The SuperLearn player with four numbered callout panels on the left — audio waveform, slide, board writing, and textbook pages — each connected by dotted lines to the matching element inside the lecture video and its table of contents, illustrating four-modal alignment.
The four inputs — audio, slides, board writing, textbook — aligned to one lecture index.

  1. 01

    Ingest

    Automated processing indexes each video in 5 to 15 minutes after upload. No manual tagging, no re-encoding workflow.

  2. 02

    Align

    Speech, slides, board handwriting, and textbook pages are projected into one shared vector space. Handwriting is reconstructed as LaTeX — the derivation written on the board becomes text you can search.

  3. 03

    Segment

    A learned model fuses five concurrent signals — voice activity, scene cuts, slide changes, stroke changes, topic drift — to split each lecture at real topic boundaries. The result is a clickable table of contents, not fixed time blocks.

  4. 04

    Answer

    Questions are answered only from retrieved evidence. Every answer cites a video timestamp, a slide page, and a textbook page. When no evidence exists, the system says so.

Why SuperLearn

Three properties, built in — not bolted on.

Each one depends on the index itself, which is why they work together.

  • Handwriting is searchable

    Board work is a stroke sequence, not a static image. SuperLearn reconstructs it into LaTeX and indexes it — so the moment a formula was written is retrievable, even when the audio only says 'move this over here'.

  • Segments follow meaning

    Lectures split where topics actually change, not every five minutes. A 50-minute recording becomes labeled units — core concept, derivation, worked example — each one addressable and citable.

  • Refusal is a feature

    The AI tutor answers from retrieved evidence or not at all. Refusing when evidence is absent is enforced by the architecture — protecting exactly the learners least equipped to detect a confident wrong answer.

Evidence-grounded answers

Every answer cites its sources.No sources, no answer.

Ask the AI tutor a question and the answer arrives with three citations: the video timestamp where the instructor said it, the slide page that shows it, and the textbook page that defines it. One tap opens a split view with the original frame or page.

Verification stops being separate homework. For institutions, the same mechanism is an audit trail: anyone can trace any answer back to source material on the answer screen itself.

  • Video timestamp
  • Slide page
  • Textbook page

And when there is no evidence — the system declines to answer and says why, instead of generating something plausible.

The SuperLearn AI Tutor panel beside the lecture table of contents: a student asks why the logarithmic function increases when a is greater than 1, and the answer is followed by an Evidence block listing three sources — a caption at timestamp 03:12, slide 2, and textbook page 36 — each with a 'View source' button.
Three clickable citations under a real answer in the SuperLearn player.
Diagram titled 'Edit-driven re-indexing' showing the SuperLearn transcript editor with an Approve Edit button, flowing right into a JSON chunk containing fields such as chunk_id, time_range, stt_text, slide_page and stroke_latex, then into a re-index step that feeds search, Canvas, and Moodle.

For instructors and content teams

Edit the transcript. The video follows.

There is no timeline in the SuperLearn editor. Instructors delete sentences and reorder passages the way they would in a word processor, and the backend cuts the matching video and audio. AI pre-tags silence, filler words, and repetition as cut candidates; nothing changes until a human approves it.

Approved edits are saved as structured chunk data and re-indexed immediately — so every edit also sharpens search, and updated lectures flow straight back into Canvas and Moodle.

Up to 75%

less post-production time

Internal service estimate.

For institutions

Deploys inside the LMS you already run.

SuperLearn ships as cloud SaaS on web and mobile, with plug-ins for Canvas and Moodle and REST and GraphQL APIs. Adopting it is adding a plug-in, not migrating a platform.

  • Universities & colleges

    Turn course archives into searchable study material. Learners land on the exact derivation, not minute 34 of a recording.

  • Vocational training & bootcamps

    Per-hour indexing priced for public and vocational budgets, so the whole curriculum gets indexed — not just flagship courses.

  • Corporate L&D & compliance

    Onboarding, job training, and compliance recordings become an auditable knowledge base. Every AI answer is traceable to a timestamp and page — and withheld when unsupported.

Deployment surface

  • Cloud SaaS — web and mobile
  • Canvas and Moodle plug-ins
  • REST and GraphQL APIs
  • Multi-tenant isolation at the identity, network, and database layers
  • WCAG 2.1 AA interface with high-accuracy captions
to index one lecture

5–15 min

to index one lecture

per video hour, measured in service

Under $0.44

per video hour, measured in service

course completion in service validation

82.6%

course completion in service validation

Measured with university-student cohorts of 213 and 400.

filed in Korea, further filings in progress

2 patents

filed in Korea, further filings in progress

For learners

Study the moment, not the timeline.

If your lectures live on SuperLearn, this is what changes for you.

  • Click concepts, not timelines

    Every lecture opens with a table of contents built from its actual topics. Search a keyword across all your lectures and jump to the exact moment it is taught.

  • Ask, then check the source

    Ask the AI tutor anything about the lecture. Each answer links the caption, the slide, and the textbook page it came from — tap one to see the original.

  • Captions and notes included

    High-accuracy captions and AI summary notes come with every lecture, and the interface meets WCAG 2.1 AA — the same content path for everyone.

Try SuperLearn
The SuperLearn player showing a calculus lecture, a searchable table of contents listing topics such as the power rule and the chain rule with their timestamps, and the lecture transcript open below the video.

Company

In commercial service since May 2026.

SuperLearn Inc. is a Korean AI company based in Daejeon. The platform is in service with education and training institutions in Korea and the United Kingdom, with pilot deployments in progress in the United States.

In service
Education and training institutions in Korea and the UK
LMS supply agreement
A UK education foundation, concluded May 2026
Research
Joint research program with a leading Korean university AI department
Intellectual property
Two Korean patents filed (10-2024-0170054, 10-2026-0073386); further filings on the core technologies in progress

See your own lectures indexed.

Bring one recorded lecture. We will return it searchable — table of contents, transcript, and evidence-grounded Q&A.

Request a demo