Your First Month Inside TopView’s Avatar Workflow

Chapter 1

One Product Photo, No Camera, and a Choice of Three Doors

Deepa runs a small skincare shop out of a rented unit behind a laundromat. She has forty bottles of a new face oil, a phone camera, and no idea how to make a video that looks like anything other than a phone holding a bottle. What she has instead is one clean, white-background photo she took for her online listing, and an hour before she needs to post something.

The problem is not creativity – it is the gap between having a still image and having something that moves, speaks, and holds attention for more than two seconds. A photo answers 'what does it look like.' It never answers 'why should I want it,' and that second question is the one a feed rewards.

TopView's dashboard offers three starting points for exactly this moment, and none of them require filming: upload an image or clip directly, paste a product link so the platform pulls the visuals itself, or type a plain-language description and let the system generate scenes from scratch. Deepa's case is the first – one photo, nothing else – so she uploads it and picks a format.

What happens next is where the three doors actually diverge. She can let the photo become a video on its own, with transitions and text built around it. She can send it into Product Avatar, where a chosen presenter holds and shows the bottle instead of the bottle sitting still. Or she can generate a custom avatar first, from a text prompt, and route the product through that. Each path answers a slightly different question: does the product need to move, or does someone need to be seen holding it, and does that someone need to look like anyone she has ever met.

For a first video, the shortest path is almost always the second one – an existing avatar, not a custom-built one, holding the bottle. Building a face is a second week's work, not a first hour's. The distinction is not obvious from the dashboard, where all three tools sit next to each other with equal visual weight; nothing on the interface tells you which door is short and which is long.

What you can actually do here

Before any chapter, here is what a new TopView user can actually reach in the first month – not the pitch, the paths.

Getting a first video out

Building a face that is yours

Keeping several people working on one project

The credit meter and what it changes

When something breaks

Chapter 2

Learning That the Avatar Can Hold the Product, Not Just Talk About It

By her second session, Deepa has noticed something the first video didn't use: the avatar she picked can only speak. It cannot hold anything. Her bottle sits in a corner of the frame while a presenter gestures vaguely toward it, and the result looks like an actor pointing at a prop rather than someone actually demonstrating the product.

This is a distinction the platform draws sharply once you're inside it, and it's easy to miss from outside: a standard avatar delivers a script. Product Avatar is a separate tool built specifically to combine a presenter with an uploaded product image so the two appear to interact – held, displayed, pointed at, positioned in the presenter's hands rather than floating near them.

The mechanics are almost identical to the first video's setup – choose an avatar template, upload the product photo – but a placement step is added. Manual mode lets her drag the bottle to sit correctly in the avatar's grip; Auto mode places it automatically and generates straight away. For a bottle with an unusual shape, manual placement is worth the extra thirty seconds; for a simple box or tube, auto mode gets it right on its own most of the time.

There's a second choice buried in this step that a first-time user easily overlooks: the avatar's underlying engine. Avatar 4 Standard produces broadcast-ready results and supports videos up to two minutes; Avatar 4 Fast is a stripped-down version built for volume rather than polish. A free account gets exactly one trial run of the Fast mode – after that, it's locked behind a paid plan. Deepa's first attempt happens to land inside that one free trial, which is why her second video costs nothing and her third one asks her to subscribe.

What she learns from this session isn't really about avatars. It's that TopView's tools are named by function, not by skill level – 'Product Avatar' tells you what it does, not that it's the correct next step after a plain video. Nothing in the interface points a first-time user from one tool to the other; you find the better path by hitting the limits of the first one.

Chapter 3

The Link That Wouldn't Open, and a Small Piece of Software That Fixed It

A week in, Deepa tries something faster: instead of downloading and re-uploading a product photo, she pastes the direct link to her online store listing, expecting TopView to pull the image itself the way it did in the demo videos she watched. Instead she gets an error. The link won't resolve.

This isn't a broken feature – it's a documented limitation of how some websites restrict outside servers from reading their pages. TopView's own server is being blocked, not TopView itself failing. The platform's answer to this specific problem is a Chrome browser extension, offered the moment a link resolution fails, that opens the page through the user's own browser instead of the platform's server.

Installing it takes four steps: click the prompt, get redirected to the Chrome Web Store, add the extension, then pin it to the toolbar so it's visible for future use. Once it's pinned, the same failed link resolves on retry, because the request is now coming from Deepa's own browser session rather than being blocked at the server level.

It's a narrow fix for a narrow problem – the extension does nothing for a badly structured product page, missing images, or a listing behind a login wall. It solves exactly one thing: a server being told 'access denied' when TopView's own systems try to fetch a page. For anyone who works primarily from product links rather than uploaded files, though, it's the difference between a workflow that runs smoothly and one that stalls on the first store with strict server settings.

What's worth noting for planning purposes: this isn't listed as a headline feature anywhere on the pricing or homepage. It surfaces only at the moment of failure, which means a user who never hits a blocked link may never learn it exists – useful to know if a colleague later hits the same wall and doesn't realise there's already a fix.

Chapter 4

Bringing a Client Into the Same Board Without Handing Over the Keys

Deepa's cousin runs a small agency and asks to see how the videos are coming together before she posts anything. Sending screenshots back and forth over messaging apps gets confusing fast – which version is the latest, which comment refers to which clip. She needs her cousin to see the actual drafts, mark favourites, and leave notes, without giving her the ability to change settings or generate anything herself.

AI Board is TopView's answer to exactly this kind of shared review, and it works on a permission split most collaboration tools take for granted but that matters a great deal here: a board can be shared as Viewer or Editor. A Viewer can see everything inside the board and interact with feedback tools, but cannot touch generation settings or spend credits. An Editor can do both.

Sharing takes one click – open the board, hit Share, copy the link, send it – but the recipient does need their own TopView account for the link to actually open the workspace rather than a generic sign-up page. That's a small but real friction point: it isn't a public link like a shared Google Doc.

Once inside, feedback isn't just a comment box. Star ratings can be applied to individual creatives and pinned to the top of the board, so the best draft floats above the rest without anyone needing to scroll. Leaving a comment on a specific image or video automatically creates a to-do item tied to that exact asset, which can later be marked resolved – closer to a lightweight project tracker than a chat thread.

The part that saves the most time in practice is what happens after feedback lands: hovering over any creative surfaces Re-edit, Remix, Inpaint, Generate Video, Edit Angles, and Upscale directly on the board. A revision request doesn't send anyone back to a separate tool – the fix happens in the same window where the note was left, which is the detail that actually keeps a two-person review loop fast instead of scattered across five tabs.

Chapter 5

The Point the Credit Balance Starts Deciding What Gets Made

By the third week, Deepa notices her credit balance dropping faster on some videos than others, and not in a way that maps cleanly to how good the result looks. A twenty-second product clip using one model costs a fraction of what the same twenty seconds costs using another. This is the moment a new user stops thinking of TopView as one tool and starts noticing it's actually a marketplace of different video engines sitting behind one interface.

Every generation model on the platform – and there are dozens, from several outside AI labs – carries its own credit rate per second of footage, and those rates vary by a wide margin depending on resolution, whether audio is included, and which underlying engine is doing the work. A short clip in one model can cost several times more than the same length in another. None of this is hidden – it's laid out row by row on the plan comparison table – but it isn't visible from inside the generation tool itself while you're picking a style.

There's a second layer that matters more once the balance starts running low: a handful of specific models are excluded from the credit system entirely, for a fixed number of days, on certain plans. These are the platform's 'unlimited' models, and they are a named, limited list – not a blanket unlimited tier. Every plan's comparison table is explicit that its heaviest, most cinematic video models carry no unlimited option at all, on any plan; only a specific set of image and lighter video models get that treatment, and only for a set number of days before the allowance resets.

Deepa's practical takeaway from this week is a rule of thumb rather than a formula: for routine, frequent output – daily product shots, quick previews – she leans on whichever models sit in the unlimited list on her plan. For the handful of videos she actually wants to look cinematic, she accepts that they'll draw from the paid credit pool, and she budgets for that difference rather than being surprised by it mid-month.

The Multiply credits option, sitting quietly next to the plan selector, becomes relevant here too. It doesn't change the underlying rate – it simply lets a single order draw a larger batch of credits at once, useful for a one-off bulk push (a product launch week, say) without committing to a permanently higher plan.

Chapter 6

Choosing a Plan Once the Free Trial Runs Out

Somewhere in week four, Deepa hits the wall every new user eventually hits: the free trial's one-time Avatar 4 Fast credit is gone, and every subsequent video draws from a balance she doesn't have. The decision in front of her isn't really 'which plan is cheapest' – it's 'which plan matches how often I'm actually going to do this.'

The three individual plans are built around three different rhythms rather than three different feature sets. The lightest tier suits someone posting occasionally and mostly leaning on the models that carry no credit cost at all. The middle tier is built for someone producing in volume – a small brand pushing out several videos a week rather than one a month – and it roughly triples both the annual credit allowance and the number of jobs that can run at the same time. The top tier flips the billing shape entirely: rather than a large annual allowance paid upfront, its credits arrive monthly and expire if unused that month, which suits someone who wants the cheapest possible rate per credit but doesn't want a large balance sitting unused for months at a time.

One detail is easy to miss while comparing sticker prices: the two annual-credit plans hand over the full year's allowance immediately, while the monthly-credit plan resets – and expires – every cycle. That changes the maths for anyone whose output is uneven across the year. A seasonal business that does most of its filming in a two-month burst is better served by a plan where the credits don't vanish between bursts.

The top tier also carries something the lower tiers don't offer at all: an Off-Peak processing mode that cuts the cost of certain jobs roughly in half, in exchange for the job running during quieter server hours instead of immediately. For anyone not on a tight same-day deadline – batch-generating a week's worth of content overnight, for instance – this is the single largest cost lever on the entire platform, and it's exclusive to whichever plan sits at the top of the individual tier list.

Deepa's decision, in the end, comes down to a simple test rather than a spreadsheet: how many videos will actually get made in a normal month, and does that number sit comfortably inside a plan's allowance with room to spare, or does it run right up against the edge every time. Running right up against the edge, month after month, is the signal that it's time to move up a tier rather than buying an occasional multiplier top-up.

Chapter 7

What Happens to the Face, the Footage, and the Account When You Stop Paying

Eventually, every subscriber asks the question Deepa asks her cousin one evening: if she cancels, does the avatar she built from her own face disappear, and does TopView keep using her old product photos for anything after she's gone?

The answer sits in the platform's own privacy and terms pages, and it's more favourable to the user than the question usually assumes. Ownership of both the uploaded material and everything generated from it stays with the person who uploaded it – TopView explicitly assigns away any rights it might otherwise hold over generated output, and states plainly that it claims no ownership over either the source content or the result.

Training use is separate from ownership, and it's opt-out rather than opt-in by default: uploaded content and generated output can be used to improve the underlying models unless a user actively contacts support to stop it. Once that opt-out is confirmed, the platform stops using that account's material for training going forward – it does not, by itself, retroactively remove material already used in earlier training runs.

Deletion works the way most accounts expect it to: removing content, or closing the account entirely, triggers deletion from production systems, with one standing exception – anything a law requires TopView to retain stays retained regardless of what the user requests. That's a boilerplate carve-out, but it's the one line worth reading before assuming a deleted account means every trace is gone immediately.

There's one more detail buried in the terms that matters more than it first appears: because many users generate output from similar or identical inputs (a common stock avatar, a common prompt), the platform states directly that output generated for other users may be similar or identical to your own, and that your rights don't extend to material generated for someone else's separate request. A cloned face built from your own reference video is yours specifically – but a public avatar template chosen from the library was never exclusive to begin with, and nothing in the terms suggests otherwise.

Questions readers actually ask