This is our new home for product feedback — tell us what would make Mozaik better for you.
Make it easy to skip a step during guided recording
The challenge When you record with a guided template — for example through a QR-code capture flow — you can skip a step, but the option isn't easy to find in the moment. If the situation in front of you doesn't match the shot the template expects next, it isn't obvious how to move past it, so recordings can stall or get abandoned mid-shoot. The person or setting in front of you may only be available for a short window, so a clear, fast way to skip matters. When skipping isn't discoverable, people fall back to unstructured recording even when the guided flow would suit their team better. Our approach Make skipping a step obvious during guided recording — for example a clear, always-visible skip control — so you can move past the current step the moment you need to, without leaving the guided flow. Expected impact Capture the shot that matters in the moment instead of losing it Fewer aborted recordings when the situation doesn't match the template's next step Keep the benefits of guided, structured recording with the flexibility to move on quickly Makes the guided flow viable for field teams who otherwise fall back to unstructured recording
Editable welcome text in the guided campaign flow
The challenge When you invite colleagues or contributors to record through a guided campaign flow (a QR code or link), the first thing they see is a welcome/entry text. Today that text is fixed — there's no way to change it. Companies that want to greet participants in their own words, set the tone, or add specific instructions right at the start of the flow currently can't. Our approach Let's make the campaign's welcome/entry text editable, so the admin setting up the campaign can write their own greeting that participants see the moment they open the QR code or link. Expected impact Admins can personalize the first impression participants get when they start recording. The greeting and any starting instructions can be tailored to each campaign, audience, or occasion. A more branded, on-message onboarding for contributors in the guided flow.
Mark recordings as required or optional in guided submissions
The challenge In guided submissions today, there's no way to tell contributors which recordings they must provide and which are optional — for example, supporting B-roll. Teams work around this by verbally telling contributors they can skip certain parts, and then manually deleting the leftover empty placeholders in the project so the automated video generation can start. It's manual, easy to get wrong, and contributors can't tell what's actually required of them. Our approach Let you mark each requested recording in a guided submission as required or optional. Optional recordings would be clearly labeled for contributors, and any optional recording left unfilled would no longer create a blocking placeholder or hold up automated video generation — so there's nothing to clean up by hand afterwards. (Works hand in hand with an inactivity timeout that lets automated generation proceed when no further material arrives.) Expected impact Contributors clearly see which recordings are required and which they can skip. No more manually deleting empty placeholders before automation can start. Fewer stalled projects and cleaner, more complete submissions. Faster, more reliable automated video generation.
Automatic stabilization for shaky footage
The challenge Submissions from guests and contributors are often filmed handheld, so the footage can come in noticeably shaky — for example when someone holds the camera and re-grips it several times mid-shot. Shaky clips are hard to use in a polished video and often have to be dropped or re-requested, which slows teams down and lowers the quality of the finished edit. Our approach Introduce a digital stabilizer that automatically smooths shaky footage. When shaky material is added, Mozaik would apply image stabilization to steady the shot, with a simple on/off control so editors stay in charge of the result. Expected impact More submitted clips become usable, even when filmed handheld Steadier, more professional-looking finished videos Less time spent dropping or re-requesting shaky footage
Review public campaign submissions before AI automation runs
The challenge When you share a campaign link publicly (for example on social media), anyone can submit through it as often as they like. If AI automation is switched on, every submission — including spam and joke entries — is cut automatically and eats into your video credits. Today the only workaround is to switch automation off entirely so you can sort submissions by hand first, which cancels out the benefit of automating in the first place. Our approach Add a moderation step for public campaign links so you stay in control of what actually gets processed. We're exploring two complementary directions: A review-and-approval stage that holds incoming submissions from public links until you approve them, before any automatic editing starts. A manual "run automation" trigger inside the project, so you can first remove unwanted submissions and then start automated editing only on the ones you want to keep. Expected impact Protects your video credits from being spent on spam or joke submissions. Lets you keep AI automation switched on for public campaigns instead of disabling it. Puts you in control of which submissions get edited, with no manual clean-up after the fact.
In Progress
Download multiple recordings at once
The challenge On the Footage page you can only download recordings one at a time. You can already multi-select clips to move or delete them, but there is no way to download the whole selection in one go — so pulling several clips means repeating the same download step over and over, which is slow when you need many files. Our approach Add a download action for multi-selected clips on the Footage page. When you select multiple recordings, a single download button lets you export all of them at once instead of one at a time. Expected impact Download several recordings in a single action Less time spent repeating downloads when you need multiple clips A consistent multi-select experience — move, delete, and now download
Support for static images in AI automations
The challenge Not every project has video footage to work with. Some teams work largely with static photos — often a mix of portrait and landscape orientation and of varying quality — and can't guarantee always having video material. Today the AI automations are built around video input, so there's no reliable way to feed in static image files and let the automation take it from there. Our approach Let's add support for static image files (such as JPEG and PNG) as input in Mozaik's AI automations. Once images are accepted as first-class input, the automation can handle the rest — assessing each image and picking the ones best suited for the video — so teams working from photos get the same automated experience as those working from video. Expected impact Automations work even when only static photo material is available Static images (JPEG, PNG, and similar) accepted as input alongside video Mixed portrait and landscape material handled automatically A faster path from upload to finished video, with no manual pre-sorting
Upload a script to guide your automated video edit
The challenge Many teams already have a written script before they start editing — it defines what should be said and, importantly, the order in which scenes and clips should appear. Today there's no way to hand that script to Mozaik's automated editing: the AI agent decides the cut and clip order on its own, so it can't reliably follow the planned structure out of the box. The only workaround is renaming source files (for example "Part 1–6") to hint at a sequence, which is fiddly and easily breaks. Our approach Let users upload their existing script alongside their footage and have Mozaik's automated editing use it as the source of truth for the cut and the clip order. The AI agent would align the sequence and pacing of the edit to the uploaded script instead of deciding the structure on its own. Expected impact Finished videos follow the structure teams planned, with far less manual re-ordering afterwards. No more file-renaming workarounds to force a clip sequence. More predictable, on-brief results from the automated edit for teams who work script-first.
AI editing agent adds crop and zoom-in effects automatically
The challenge Today, crop and zoom-in (punch-in) effects have to be added manually, clip by clip, after the AI editing agent has done its work. That's slow and repetitive for teams producing social-ready videos at scale, and it leaves the dynamic, attention-grabbing look that makes short-form content perform down to manual effort. Users want the agent to handle this the way a human editor would. Our approach Extend the AI editing agent so it can autonomously add crop and zoom-in (punch-in) effects while it edits — reframing shots and placing punch-ins at the right moments as visual hooks, without anyone setting them by hand. You stay in control: agent-placed effects remain fully editable, so you can adjust or remove any of them afterwards. Expected impact More dynamic, social-ready edits out of the box, with no manual per-clip work. Faster turnaround for short-form video, since punch-ins and reframing are handled automatically. A more polished, editor-quality result that keeps viewers engaged.
Switch the editor timeline between frames and milliseconds
The challenge Today the editing timeline shows time only in milliseconds. Many users — especially those coming from a traditional, frame-based video-editing background — are more used to thinking in frames than in milliseconds. A millisecond-only timeline feels unfamiliar to them and makes it harder to navigate and trim precisely. Our approach Add a toggle in the editor that switches the timeline's time display between milliseconds and frames (based on the project's frame rate). Let's also explore letting users set their preferred unit as a default for their account or profile in the settings, so the timeline always opens in the format they're most comfortable with. Expected impact Users who are used to frame-based editing can work in the unit they already know Easier, more precise navigation and trimming along the timeline A more approachable editor for people coming from traditional video-editing tools A saved default applies each user's preferred unit automatically
Automatically keep your project workspace organized
The challenge Keeping your project workspace tidy is manual work today. As your team creates more videos, old and empty projects pile up in the overview, and there's no at-a-glance signal for where a project stands — for example how many recordings are still outstanding, or whether an external guest is currently working in it. Someone has to go through and clean up and label projects by hand. Our approach Introduce an assistant that keeps your project workspace organized for you, automatically, so this no longer has to be done by hand. Possible actions include: Clean up old projects that are empty and no longer needed Automatically tag projects with their status — e.g. how many recordings are still missing Tag projects where a guest is currently working You stay in control of what the assistant is allowed to do. Expected impact Less manual housekeeping — your workspace stays tidy on its own See a project's status at a glance through automatic tags Old, empty projects no longer clutter the overview More time spent creating videos, less on admin
Save and reuse custom zoom presets
The challenge Today you can fine-tune a custom zoom on a clip — a zoom-out at the start of a video, a punch-in later, and everything in between — but there's no way to save those settings. If you reuse the same zoom styles across your videos, you have to rebuild each one by hand in the custom zoom controls every time and switch between settings manually. That's repetitive, and it slows you down when a consistent, signature look is exactly what you're going for. Our approach Let's add custom zoom presets. Configure a zoom the way you like it, save it as a named preset, and pick it again from a list whenever you need it — so you can switch between your go-to zoom styles in one click instead of reconfiguring from scratch each time. Expected impact Reuse your favourite zoom styles across clips and projects without rebuilding them Switch between saved zoom looks in a single click Faster, more consistent editing for anyone with a signature video style
Interactive mode for the AI editing agent
The challenge Today the AI editing agent runs fully automatically — you set it up and it edits the video end to end with no back-and-forth. For straightforward projects that's exactly what you want. But when the raw footage is complex or the result really matters, there's no way to steer the agent while it works: you can't tell it what you're going for, and it can't ask you anything to resolve ambiguity. So the agent has to guess, and the editing quality suffers compared with what's possible when it can check its decisions with you. Our approach Let's add a choice when you set up the AI editing agent: run it fully on autopilot as today, or run it interactively. In interactive mode you'd be able to chat with the agent directly inside the project, and the agent could ask you clarifying questions so it makes the best editing decisions based on your raw material. Both modes stay available, so you pick the right one for each project. Expected impact Choose per project whether the agent runs hands-off (autopilot) or collaboratively (interactive) Higher editing quality on complex or high-stakes footage, because the agent can ask instead of guess Steer the result while the agent works, right in the project, without redoing the edit afterwards Keep the speed of full autopilot whenever that's all you need
Organize projects and templates into folders
The challenge Today, projects and templates appear as a flat grid of tiles with no way to group them. Once a workspace builds up 20+ finished videos, that overview quickly becomes cluttered and hard to navigate. It's especially painful for teams who share one account: several people work side by side in the same workspace and need a common structure to keep each other's work findable — for example when every team member maintains their own personalized video and the list keeps growing. Users tell us the product itself is simple to understand and use, but the moment they hit this crowded overview they lose their orientation. Our approach Introduce folders (grouping) in both the project and the template areas, so users can sort their projects and templates into a structure that fits how their team works — and quickly find the right one instead of scrolling through a long grid of tiles. Expected impact A tidy, scannable overview even with dozens of projects and templates. Faster to find the right project or template. A shared structure that teams working in the same account can rely on. Less clutter and confusion as the number of finished videos grows.
Import footage directly from stock and news-agency libraries
The challenge Teams that build videos largely from licensed stock and news-agency material have no direct way to bring that footage into Mozaik. Today each clip has to be downloaded from the provider and manually uploaded into the tool for every project, which is slow and breaks the editing flow — especially for fast-turnaround formats like news videos, where most of the footage comes from external libraries. Our approach Let's add a direct connection to external stock and news-agency footage libraries so you can browse and pull licensed material straight into your Mozaik projects, without downloading and re-uploading it by hand. Expected impact Bring licensed footage into a project in a few clicks instead of a manual download-and-upload round trip Faster turnaround for footage-heavy formats such as news and current-affairs videos Fewer local file copies and less manual asset management
Preset which camera is used for recording in a template
The challenge Today, every new recording defaults to the inside camera, so anyone who needs the outside camera has to switch it by hand — once for every recording. For a single video that can mean re-switching the camera on every clip. This is hardest when recording is rolled out to less technical contributors — for example staff capturing B-roll out in the field or at an event. Every manual setting is one more thing they can get wrong, and admins can't guarantee the right camera is used. Our approach Let admins define, per template, which camera (inside or outside) is used for recording. Once it is set on the template, that choice is preset for everyone who records from it — contributors never see the decision and cannot pick the wrong camera. Expected impact No more switching the camera by hand on every recording The correct, consistent camera for every clip made from a template Easier rollout of recording to non-technical contributors, with fewer mistakes Less rework fixing videos recorded with the wrong camera
Mix different text styles within a single text element
The challenge Inside a single text element — like a lower third or a split-screen caption — everything currently shares the same formatting and is centered. There's no way to combine, for example, a bold headline with a smaller line or bullet beneath it, to use different font sizes on different lines, or to color individual words to make them stand out. Because what needs to be emphasised changes with the exact wording every time, a fixed brand-kit preset doesn't solve it — users need to style the text flexibly themselves, right where they type it. Our approach Let's add rich text formatting inside a single text element so different parts of the text can be styled independently. Within one text box you'd be able to: Combine a bold headline with a smaller line or bullet underneath Set different font sizes for different lines Change the color of individual words to highlight them Expected impact Emphasise exactly the words that matter, tailored to each specific message Build clearer, more structured captions (headline plus a supporting point) in a single element Keep full manual control instead of depending on a fixed preset
Produce your video in multiple formats from one project
The challenge Today a project produces a single aspect ratio, so getting the same video in more than one format means rebuilding or re-exporting it by hand. Teams that publish across channels often need the same content in several shapes at once — for example a portrait version for social feeds and a landscape version for a website. Our approach Let you choose up front which formats a project should produce — for example portrait, landscape, and square — and generate exactly those output versions from the one project, without recreating it. Expected impact Publish the same video across multiple platforms without rebuilding it for each format. Save time by generating every format you need from a single project. Keep your content consistent across all your channels.
Link directly to a specific asset folder
The challenge Today the asset library always shows the same web address no matter which folder you're in — the URL stays fixed on the top-level gallery. That means you can't bookmark a specific folder or send someone a link that opens it directly: whoever you share it with lands at the top level and has to navigate down to find the right folder themselves. For teams working with large, deeply nested asset libraries, that makes it slow and error-prone to point each other to the right place. Our approach Let's make the folder you're viewing part of the URL, so every folder in your asset library has its own unique, shareable address. Opening or refreshing that link takes you straight into that folder, and you can bookmark it or paste it to a colleague like any other link. Expected impact Bookmark specific folders and jump back to them in one click Share a direct link that opens the exact folder for your teammates Faster, clearer navigation and organization of large asset libraries
Include color grading in your automated video runs
The challenge Today the automation handles the full edit but deliberately stops short of color grading — the creative look and mood of your footage. Color and exposure can be corrected automatically, but the stylistic grade is still left out because it touches sensitive things like skin tones and overall creative style. For teams who want a fully hands-off run, that grade is the last manual step standing between them and a completely automated output. Our approach Let's explore extending the automation so it can also apply a color grade to your footage — going beyond neutral color and exposure correction to give your videos a consistent, polished look automatically. Because grading affects skin tones and creative style, we'd approach it carefully, with sensible defaults and the ability to review or adjust the result. Expected impact A truly end-to-end automated run with no manual grading step left A consistent, professional look across all your videos Less time spent on manual color work for teams producing at volume