tubeprompter.com

To convert a video into AI prompts, split the reference into scenes by timestamp, then write a start-frame prompt and an end-frame prompt for each scene, and finally add motion directions plus a shot duration. The result is a set of copyable prompts you can paste into tools like Sora or Veo to regenerate a similar look. This workflow works best when your reference has clear cuts and a consistent visual style; a single continuous shot with constant motion is harder to break into frame pairs.

Step 1: Split the reference by scene timestamps

Watch the video once without pausing and mark where the image changes meaningfully — a new subject, a new angle, or a new location. Write each mark as a timestamp range.

• Scene 1: 0:00–0:04
• Scene 2: 0:04–0:09
• Scene 3: 0:09–0:15

Aim for one prompt pair per scene. If a shot runs long without a cut, treat the beginning and end of that shot as your frame pair instead of inventing a cut.

Step 2: Write the start-frame prompt

Describe only what is visible in the first frame of the scene. Cover five things in this order:

1. Subject — what it is and what it's doing
2. Composition — shot size and camera height
3. Lighting — direction, quality, and hardness
4. Color and background — palette and setting
5. Exclusions — anything you don't want, such as text or logos

The generator's own example shows the level of detail expected:

A matte cream ceramic mug on a warm oak table beside a window. Medium close-up at table height, soft daylight from camera left, gentle shadow to the right, muted beige background, the entire mug visible, no text or logos.

Notice that every clause is checkable against the frame. Avoid mood words like "beautiful" or "cinematic" on their own — they don't tell the model what to render.

Step 3: Write the end-frame prompt

The end frame should describe the same scene after the action completes. Keep subject, lighting, and palette identical to the start frame, and change only what actually moves or shifts.

The same cream ceramic mug and oak table, now in a tighter close-up of the handle and rim. Keep the soft left-side daylight, beige background, and warm colors consistent; the mug remains still.

For a landscape scene, the change might be camera position rather than subject:

The same valley at sunrise, framed from slightly farther forward so the foreground rocks sit near the lower edge. Preserve the mountain shapes, pale mist, and warm rim of light; reveal more of the valley floor.

The phrase "the same…" is doing real work here — it anchors consistency between the two frames so the model doesn't drift.

Step 4: Add motion directions and duration

Motion directions sit between the two frames and describe how you get from one to the other. Keep them short and physical.

• Camera: "Add a slow camera push toward the handle."
• Subject: "Keep the mug fixed in place and end on the close-up."
• Duration: "Set the shot duration in your video tool."

Set duration in the target tool rather than in the prompt text, since Sora and Veo handle timing differently. One motion per scene is usually enough; stacking a push, a pan, and a subject action in one shot tends to produce mush.

What to record per scene

Common sticking points

Scenes that don't have a clean start and end. Vertical food clips often start on the whole dish and end on one texture or action. In that case, make the start frame the full dish and the end frame the texture close-up, and let the motion cover the transition.

Style drift between scenes. If scene 2 looks nothing like scene 1, repeat the lighting and palette clauses verbatim in both start frames. Consistency comes from copying, not from re-describing.

Overloaded prompts. If a scene has three things happening, split it into three scenes. Each prompt pair should describe one visual state change.

Where this fits

The workflow above matches how tubeprompter.com describes its own output: scene timestamps, start and end frame prompts, and editable visual descriptions, with sign-in giving 5 free analyses per month. You can run the same steps by hand for any reference video; the tool just automates the timestamp splitting and frame description. Either way, the prompts you end up with are editable text, so treat the first pass as a draft and tighten the wording before generating.

A viral-video AI prompt is not a single sentence describing a nice scene. It is a structured set of instructions that controls what the viewer sees in the first three seconds, how the shot moves, and how the visual style stays consistent from start to finish. The practical way to build one is to work scene by scene: define a start frame, an end frame, and the motion between them. You can write these from scratch, or reverse-engineer them from a reference video you already know performs well. The workflow below covers both, plus the checks that catch the most common prompt failures.

What makes a prompt "viral" (and what doesn't)

Virality comes from the video's structure, not from the prompt wording. The prompt's job is to reproduce that structure reliably. Three elements do most of the work:

• The hook frame — the first image the viewer sees. It has to be readable in under a second on a small vertical screen.
• The motion — what changes between the start and end frame. Motion is what holds attention past the hook.
• The style lock — lighting, color, and framing details repeated across every scene so the video feels like one piece rather than a slideshow.

A prompt that describes a beautiful scene but never specifies motion or a consistent style will produce disconnected clips. A prompt that specifies all three gives you footage you can actually cut into a short.

The scene-by-scene prompt structure

Every scene in your video gets three parts. Write them in this order.

1. Start frame prompt

Describe a single still image: subject, setting, shot size, camera height, light direction, background, and any exclusions.

A matte cream ceramic mug on a warm oak table beside a window. Medium close-up at table height, soft daylight from camera left, gentle shadow to the right, muted beige background, the entire mug visible, no text or logos.

Note what this does: it fixes the subject, the framing, the light source and direction, the color palette, and what must not appear. That last part matters — models add text and logos unless told not to.

2. End frame prompt

Describe the same scene after the change you want. Keep every style detail identical and only change what should change.

The same cream ceramic mug and oak table, now in a tighter close-up of the handle and rim. Keep the soft left-side daylight, beige background, and warm colors consistent; the mug remains still.

The phrase "keep … consistent" is doing real work. Without it, the model may relight the scene or shift the palette between frames.

3. Motion directions

This is the instruction for the space between the two frames.

Add a slow camera push toward the handle. Keep the mug fixed in place and end on the close-up. Set the shot duration in your video tool.

Separate camera motion from subject motion. "Camera pushes in" and "mug stays still" are two different instructions, and stating both prevents the model from moving the object to simulate a push.

Worked examples you can adapt

The three patterns below cover most short-form formats. Each is a start frame, an end frame, and a motion direction.

Product reveal

Cinematic landscape

Vertical food scene

The vertical example is the one to study if you are making Shorts or Reels. Vertical framing changes what "readable in one second" means — you have less horizontal room, so the subject should fill more of the frame and the motion should be toward or away from the camera rather than across it.

Designing the first three seconds

The hook is a prompt problem, not an editing problem. Build it into the start frame:

• Fill the frame with one subject. A single object or face at medium close-up reads faster than a wide scene.
• Give the light a direction. "Soft daylight from camera left" produces a more dimensional first frame than "well lit."
• Start mid-action. If the end frame shows a pour, a lift, or a turn, the start frame should already be positioned for it — the viewer should feel something is about to happen.
• Exclude clutter explicitly. "No text or logos," "plain background," "entire object visible" all reduce the chance the model invents distractions in the hook frame.

Reverse-engineering a reference video

If you already have a video whose structure works, you can extract the prompt instead of guessing. A video-to-prompt tool such as the one on tubeprompter.com turns a YouTube video or Short into editable, scene-by-scene prompts with camera, lighting, and style details — it produces scene timestamps, start and end frame prompts, and editable visual descriptions. The site states that signing in gives you 5 free analyses per month; pricing details are listed on its pricing page.

The output is a starting point, not a finished prompt. Expect to:

1. Check the timestamps. Confirm the scene breaks match the cuts you actually want to reproduce.
2. Rewrite the visual descriptions in your own subject's terms. The tool describes what was in the reference; you need what will be in yours.
3. Keep the camera and lighting language. This is usually the most reusable part, because it encodes the reference's look rather than its content.
4. Re-run the style-lock check (below) before generating.

Common prompt failures and how to fix them

A repeatable checklist

Before you generate, run each scene through this:

• [ ] Start frame names subject, setting, shot size, camera height, light direction, background, and exclusions
• [ ] End frame repeats the style details and changes only what should change
• [ ] Camera motion and subject motion are written as separate instructions
• [ ] Shot duration is set in the video tool, not left to the model
• [ ] The first scene's start frame is readable at a glance on a vertical screen
• [ ] Every scene uses the same lighting, palette, and framing vocabulary

Work through the scenes in order, generate one at a time, and compare each result against its end frame prompt before moving on. The scenes that fail the comparison almost always fail for one of the six reasons in the table above — fix the prompt, not the edit.

To extract a reusable AI prompt from a video, break the reference into scenes, note a timestamp for each one, and write a start-frame prompt that names the subject, framing, lighting, and style. Then add an end-frame prompt plus motion directions so the shot can be regenerated in a tool like Sora or Veo. This works best when the reference has clear cuts and a consistent look; a single continuous shot with no distinct beats is harder to split into prompts.

The workflow below follows the structure used by the Video to Prompt Generator on tubeprompter.com, which turns YouTube videos and Shorts into editable, scene-by-scene prompts with camera, lighting, and style details.

Step 1: Split the video into scenes and log timestamps

Watch the reference once without pausing, then again while marking every cut, camera move, or subject change. Each of those is a scene.

For each scene, record:

• Timestamp — start and end time, e.g. 0:00–0:03
• Subject — what is on screen and what it is doing
• Shot type — wide, medium, close-up, vertical
• Camera behavior — static, push in, pan, handheld
• Lighting — direction, quality, color temperature
• Style notes — color palette, texture, mood

The tool's output format is "scene timestamps → visual notes → start and end frame prompts," so keeping your notes in that order makes the next steps faster.

Step 2: Write a start-frame prompt for each scene

The start frame is the first image the video model sees, so it needs to be specific enough to reproduce the composition. Cover these elements in one paragraph:

• Subject and material (e.g. "a matte cream ceramic mug")
• Setting and surface
• Shot type and camera height
• Light direction and quality
• Background and color palette
• What must stay visible or absent (e.g. "the entire mug visible, no text or logos")

Example start-frame prompt (product reveal):

A matte cream ceramic mug on a warm oak table beside a window. Medium close-up at table height, soft daylight from camera left, gentle shadow to the right, muted beige background, the entire mug visible, no text or logos.

Example start-frame prompt (cinematic landscape):

Wide landscape view from a rocky ridge at sunrise. Dark grass and stones in the foreground, a misty valley in the middle distance, layered blue mountains on the horizon, warm light along the ridge, restrained natural colors.

Step 3: Add an end-frame prompt and motion directions

A start frame alone produces a still. To get motion, describe where the shot ends and how the camera or subject gets there.

End-frame prompt (product reveal):

The same cream ceramic mug and oak table, now in a tighter close-up of the handle and rim. Keep the soft left-side daylight, beige background, and warm colors consistent; the mug remains still.

Motion directions to add:

Add a slow camera push toward the handle. Keep the mug fixed in place and end on the close-up. Set the shot duration in your video tool.

End-frame prompt (cinematic landscape):

The same valley at sunrise, framed from slightly farther forward so the foreground rocks sit near the lower edge. Preserve the mountain shapes, pale mist, and warm rim of light; reveal more of the valley floor.

Motion directions to add:

Move the camera forward slowly with a level horizon. Let the foreground pass out of frame while the distant mountains remain steady.

The key rule: repeat the same subject, palette, and lighting language in both frames. If the start frame says "soft daylight from camera left," the end frame must say the same thing, or the model will drift.

Step 4: Assemble the prompts into a copyable, editable block

Keep each scene as a self-contained unit so you can paste it into Sora, Veo, or another generator without editing:

Scene 1 — 0:00–0:03
Start frame: [prompt]
End frame: [prompt]
Motion: [directions]
Duration: [seconds]

Store the scenes in order. If a generated clip fails, you can revise only that scene's block instead of rewriting the whole sequence.

Step 5: Verify and fix gaps

Before generating, check each scene against the reference:

Common failure points and fixes:

• Subject changes shape between frames — repeat the exact noun and material in both prompts.
• Lighting flips direction — copy the lighting sentence from the start frame into the end frame.
• Too much motion in one clip — split into more scenes with shorter durations.
• Style feels generic — add texture, color, and mood words from your visual notes.

Using a generator instead of manual notes

If you would rather not log timestamps by hand, the Video to Prompt Generator on tubeprompter.com accepts YouTube videos and Shorts and returns scene timestamps, start and end frame prompts, and editable visual descriptions. Signing in gives 5 free analyses per month. The output is designed to be copied and adapted, so you still review each scene against the checks above before generating.

FAQ

Can I extract prompts from a Short? Yes. Shorts are vertical, so state "vertical composition" in the start frame and keep the subject centered or rule-of-thirds consistent across frames.

Do I need one prompt per scene or one for the whole video? One per scene. A single prompt covering multiple cuts usually produces a muddled clip.

What if the reference has no cuts? Treat camera moves and subject actions as scene boundaries instead, and give each a timestamp range.

Which tools can use the extracted prompts? Any text-to-video or image-to-video model, including Sora and Veo. The prompt structure is tool-agnostic; only the duration setting changes.

If you're new to Ahrefs and want to run your first SEO audit, the fastest path is: open Site Explorer, enter your target URL, review the Overview for a health snapshot, then dig into Organic Keywords, Top Pages, and Site Audit to find specific problems. From there, build a short prioritized to-do list instead of trying to fix everything at once.

This tutorial walks through that workflow using a realistic starting scenario, explains what the numbers mean, and shows how to turn findings into actions.

Before You Start: Pick a Narrow Scope

A common beginner mistake is auditing an entire large website on day one. The reports become overwhelming, and you can't tell which issues matter.

Instead, choose one of these starting points:

• A single important page (your homepage or a key product/service page)
• A small site (under ~50 pages, e.g., a personal blog or small business site)
• One section of a bigger site (e.g., /blog/)

For this tutorial, assume you're auditing a small business site with about 30 pages. The same steps scale up later.

You'll need an Ahrefs account to follow along. Ahrefs offers paid plans, and pricing and feature limits change over time, so check the current Pricing page for what's included in each tier before committing.

Step 1: Enter Your Target in Site Explorer

Site Explorer is Ahrefs' core tool for analyzing any website or URL.

1. Open Site Explorer from the top navigation.
2. In the search box, paste your domain (e.g., example.com).
3. Choose the Exact URL or Domain mode depending on scope. For a full-site view, use Domain or Prefix; for a single page, use Exact URL.
4. Press Enter.

You'll land on the Overview report. Don't try to absorb everything — focus on four numbers first.

Reading the Overview Snapshot

Important caveat: Ahrefs' traffic and keyword numbers are estimates based on its own data. They won't match Google Search Console or your analytics exactly. Treat them as directional, not absolute.

Step 2: See What You Already Rank For

Go to Organic Keywords in the left sidebar. This shows queries where your site appears in search results.

Sort by Traffic (descending) to see which pages bring the most estimated visitors. Then look for:

• Keywords ranking in positions 4–15 — these are often the easiest wins. A small content or on-page improvement can push them onto page one.
• Keywords with high volume but low position — potential opportunities if the topic is relevant.
• Irrelevant keywords — if you rank for something off-topic, it may signal thin or mismatched content.

Write down 5–10 of the position 4–15 keywords. These become your first optimization targets.

Step 3: Find Your Best and Weakest Pages

Open Top Pages. This ranks your URLs by estimated organic traffic.

Look for two things:

1. Your top performers — understand what topics and formats work. Can you create more content like this?
2. Pages with traffic but poor rankings — these may need on-page fixes (title, headings, internal links).

If a page gets zero traffic and targets a topic you care about, it's a candidate for a rewrite or consolidation.

Step 4: Run a Technical Site Audit

Now move to Site Audit. This crawls your site and flags technical and on-page issues.

1. Click Site Audit → New project.
2. Enter your domain and set crawl settings (default is usually fine for a small site).
3. Start the crawl and wait for it to finish.

Once complete, you'll see a Health Score and a list of issues grouped by category.

Which Issues to Fix First

Not all issues are equal. Prioritize in this order:

Ignore low-impact warnings (like minor meta description length) until the big items are handled.

Step 5: Turn Findings Into a To-Do List

You now have raw data. Convert it into a short, actionable list. Example:

1. Fix 3 broken links found in Site Audit.
2. Rewrite title tags on 5 pages with duplicate titles.
3. Improve 4 pages ranking in positions 6–12 by adding missing subtopics and internal links.
4. Remove or update 2 thin pages with no traffic.

Keep the list to 5–10 items max for your first audit. Finishing a short list beats starting a long one.

Common Beginner Mistakes

• Chasing every red flag. Site Audit flags many minor issues. Fix what affects rankings and users first.
• Trusting estimates as exact numbers. Ahrefs data is modeled, not measured from your analytics.
• Auditing a huge site too early. Start small to learn the interface.
• Ignoring search intent. A page can be technically perfect but still fail if it doesn't match what searchers want.
• Forgetting to re-crawl. After fixes, run Site Audit again to confirm improvements.

Where to Go Next

Once your first audit is done:

• Compare with competitors using Site Explorer's Competing Domains and Content Gap reports.
• Track keyword rankings over time with Rank Tracker.
• Explore backlink opportunities in the Backlinks and Link Intersect reports.
• Set up recurring Site Audit crawls so new issues surface automatically.

Your first audit isn't about perfection — it's about building a repeatable habit: enter a target, read the key reports, pick the highest-impact fixes, and act. Do that once a month and your site's health compounds.

A Sora prompt generator is a tool that turns a reference video — or a set of frames from one — into editable, scene-by-scene text prompts you can paste into an AI video tool. On tubeprompter.com, the Video to Prompt Generator takes YouTube videos and Shorts and produces scene timestamps, start and end frame prompts, and motion directions with camera, lighting, and style details. It fits best when you already have a reference clip whose look you want to reuse, and you need written prompts rather than a vague sense of "make it like this." You need to sign in to use it, and the site states that signing in gives you 5 free analyses per month.

What the generator actually outputs

The tool does not hand you one blob of text. It breaks the reference into parts you can edit separately:

• Scene timestamps — where each scene begins and ends in the source video, so you can work scene by scene instead of describing the whole clip at once.
• Start frame prompt — a description of the first frame: subject, framing, light direction, background, and color.
• End frame prompt — a description of the last frame of that scene, written to stay consistent with the start frame.
• Motion directions — what should change between the two frames: camera moves, subject movement, and how the shot should end.

That split matters because AI video tools tend to handle a still description and a movement instruction differently. Writing them as separate pieces lets you fix one without rewriting the other.

How to convert a reference video into Sora prompts

1. Pick a reference clip with a clear look. A single scene with stable lighting and one obvious camera move analyzes better than a fast-cut montage. The site notes your analysis will depend on your reference.
2. Run the video through the generator. It returns scene timestamps and a pair of frame prompts per scene, plus motion directions.
3. Read the start frame prompt and edit it. Check that the subject, framing, light direction, and background match what you actually want. Swap in your own subject if you're not recreating the original.
4. Copy the start frame prompt into your video tool as the opening description.
5. Add the motion directions. Paste the movement description — for example, a slow camera push toward a detail — and keep the subject fixed if the reference does.
6. Set the shot duration in your video tool. The generator describes the shot; the length is set where you generate.
7. Use the end frame prompt as your target. If your tool supports a start-and-end frame workflow, the end prompt tells you what the final frame should look like.

A worked example from the site's own examples

The product-reveal example describes a matte cream ceramic mug on a warm oak table beside a window: medium close-up at table height, soft daylight from camera left, gentle shadow to the right, muted beige background, no text or logos. The end frame tightens to the handle and rim while keeping the same light, background, and warm colors, and the motion direction is a slow camera push toward the handle with the mug staying still.

Notice what the prompt does not do: it doesn't say "make it cinematic." It names the subject, the framing, the light source and direction, the background, and the color mood. That's the pattern worth copying even when you write prompts by hand.

What to include when you write Sora prompts yourself

Across the site's examples, the same categories keep showing up. Use them as a checklist:

The cinematic-landscape example follows the same logic: a wide view from a rocky ridge at sunrise, dark grass and stones in the foreground, a misty valley in the middle distance, layered blue mountains on the horizon, warm light along the ridge. The end frame moves slightly forward so the foreground rocks sit near the lower edge while the mountain shapes, pale mist, and warm rim of light stay the same.

Common limits and how to work around them

• Reference quality drives output quality. A clip with mixed lighting, heavy cuts, or motion blur gives the analysis less to work with. Choose a clean single scene when you can.
• Free analyses are capped. The site says signing in gives 5 free analyses per month, so spend them on references you actually intend to reuse rather than testing random clips.
• You still have to edit. The prompts are described as editable visual descriptions, not final copy. Expect to swap subjects and adjust style for your own project.
• Duration is set outside the prompt. The generator describes the shot; you set the length in whichever video tool you use.
• Pricing beyond the free tier isn't stated here. The site links to a pricing page, so check there for current terms rather than assuming what's included.

If you want to see the format before committing a reference, the site publishes copyable prompt examples — a product reveal, a cinematic landscape, and a vertical food scene — that you can adapt directly.