
FrameNotes keeps the visual moment and the matching transcript together, turning the video into a readable note instead of a disconnected screenshot folder.
Official sample result
This example shows the target FrameNotes reading experience: each result card contains one key image, the matching time range, and the transcript spoken during that moment. It is designed for video to markdown, AI video notes, study review, and video transcript with screenshots workflows.

FrameNotes keeps the visual moment and the matching transcript together, turning the video into a readable note instead of a disconnected screenshot folder.

This structure is useful for course review, research clipping, lecture notes, and AI video notes because each card preserves context, timing, and spoken content.

The same result can become video to notes, video to markdown, or a video transcript with screenshots for later review and sharing.
How to read this result
Most video note-taking starts with a choice between two incomplete methods. You can save screenshots, which retain visual detail but lose the explanation that made the image important. Or you can export a transcript, which preserves the spoken words but often loses the slide, diagram, interface, or demonstration being discussed. The FrameNotes format is designed to keep those two pieces on one timeline.
This page is a compact sample of that format. The cards above are illustrative sample cards rather than a claim that every video receives the same number of frames. In a completed job, the system extracts selected key images, associates them with a time range, and places the relevant transcript segment beneath each image. The goal is a readable document that helps a viewer recover both what was said and what was shown.
Each note card keeps a time range so a reader can return to the exact moment in the original video. A timestamp also makes the exported note useful when someone needs to cite, review, or discuss a particular explanation.
The image is not a decorative thumbnail. It is the visual state selected from the video: a slide, a diagram, a code example, or another meaningful change on screen. Keeping it beside the words removes much of the guesswork that appears in a transcript alone.
The text below the image covers the spoken content for that point in time. Together, the time, picture, and transcript make a single reviewable unit instead of three unrelated files.
Why this format matters
A raw video transcript is valuable for search, but it is not always enough for learning. A speaker may say “this chart,” “the setting on the left,” or “this step in the code,” and that reference becomes unclear once the video is closed. Conversely, a folder of screenshot files can contain dozens of nearly identical images with no clue about why the frame was captured. Video to notes works best when visual context and spoken context are presented together.
FrameNotes is built around that practical use case. It does not promise a replacement for watching a source video, and it does not invent a summary beyond the media that was provided. Instead, it creates an ordered reference for revisiting the useful parts of a short video. The result can support class review, research notes, a client handoff, or a personal knowledge archive without forcing the reader to rebuild the timeline from scratch.
For the current public beta, local video upload is the recommended path. YouTube links can be convenient, but they may be unavailable when a video requires login, Premium access, age verification, or platform cookies. Links longer than the public beta limit are checked before a processing task is created. Those guardrails are intentional: a predictable short-video result is more useful than a job that begins but cannot finish.
Use cases
Turn a short lecture, tutorial, or recorded workshop into study material that preserves equations, slides, demonstrations, and the explanation around them. This is especially useful when a key visual appears only briefly.
Use video to notes when collecting ideas from talks, product walkthroughs, interviews, or conference sessions. A chronological note is easier to scan later than reopening several videos and trying to remember where a claim appeared.
Convert a short review recording or product demo into a shareable reference. The exported HTML can preserve visual context for people who did not attend, while Markdown and DOCX make it easier to continue editing the written notes.
The same output can support several workflows. A student might use it as lecture video notes before an exam. A researcher might use the timestamped cards to relocate a quote in a conference talk. A team might export the result after a demo so a colleague can understand the visual state and explanation without replaying the entire recording. The value is not simply transcription or image capture on its own; it is the connection between the two.
Exports and limits
A successful job can provide a self-contained HTML reading page, Markdown notes, structured JSON, a DOCX document, and a presentation-style HTML view. The HTML output is useful for reading in a browser because it keeps images and matching text together. The Markdown package is intended for people who want to edit the written record in their own tools while retaining the accompanying image folder after extraction. DOCX is provided for workflows that continue in Word-compatible editors.
Results depend on the source material. Videos with clear audio, readable slides, and meaningful visual changes generally produce the most useful cards. A talking-head video with few visual changes may need fewer images than a dense slide presentation. Audio recognition quality can also vary by language, speaker clarity, background noise, and the configured transcription provider. The output should be reviewed before it is used as a formal record or published as a verbatim source.
The public beta is optimized for local videos up to 30 minutes and 500 MB, with one processing task at a time. Long-video processing remains outside the standard public flow because it needs a separate worker and queue design. Stating the limit clearly is part of the product: it helps users choose a source that can be processed reliably today rather than implying support that is not yet available.
For a first test, choose a short recording with clear speech and a few meaningful slides, diagrams, or on-screen steps. Avoid material that you do not have permission to upload or reuse. After the result is ready, compare a few timestamps against the original video so you can decide whether the transcript and selected images are suitable for your own study, documentation, or collaboration workflow.
FAQ
No. This is an official illustrative example that demonstrates the structure of a FrameNotes result. It does not expose a user video or private transcript.
No. The product selects key visual moments rather than treating every frame as a separate note. The right number of images depends on how often the visual content changes and on the configured slide-detection setting.
You can read the text alone, but the Markdown package is more useful with its image folder kept in the same relative path. The downloadable ZIP preserves that structure.
YouTube access can change based on login, Premium, age, and cookie requirements. Uploading a file you can legally use gives the processing service a more reliable source and avoids many platform-access failures.