Invideo AI is an agent-driven video platform where AI agents hold your project context in long-term memory and carry a film, ad or microdrama from script and storyboard through multi-model generation to a full timeline edit. It suits filmmakers, performance marketers and social teams who need consistency across many shots rather than one-off clips.
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Invideo AI is a video creation platform built around AI agents that carry a project from a written idea all the way to a finished, edited cut. The official site states its positioning without hedging: The AI video platform for serious creatives. That word "serious" is doing real work — the product is no longer pitched at someone who wants a single social clip from a template, but at people producing films, advertising campaigns, microdramas and multi-format social sets where dozens of shots have to look like they belong to the same piece.
The core promise on the homepage frames the problem the product is trying to solve: "Don't waste time on AI you have to babysit. Do what you love while invideo's AI agents handle the rest." Anyone who has worked with prompt-per-clip generators knows the failure mode being described. You describe a character, get a good shot, then describe the same character for shot two and receive someone who looks like their cousin. Invideo's answer is agentic: an agent named Agent Two holds the project's context and acts on it across the whole timeline rather than treating each generation as an isolated request.
The service is run by a group of regional entities rather than a single company, and the terms disclose them by jurisdiction: Invideo Innovation Pte. Ltd. in Singapore, Invideo Inc. in Delaware, and Whitesheep Technology Private Limited in India. Which entity you contract with, and which country's law governs the agreement, depends on where you are — Delaware law for the US, Canada and Mexico, Indian law for India, and Singapore law for Singapore and everywhere else. For a solo creator this is trivia; for a studio or agency running a legal review before adopting a tool, it is the first thing procurement will ask about.
The company's direction is also visible outside its own marketing. Trade press has reported on it moving into actual production: India's Abundantia Entertainment and InVideo teamed to launch an AI-driven film production studio, a venture aimed at producing AI-driven films rather than marketing clips. That is a useful signal about which end of the market the product is being steered toward.
It helps to be precise about the category, because invideo has occupied more than one over its history and much of the third-party writing about it is out of date. Older descriptions position it as an online video editor with stock templates and a text-to-video script feature. The current product still contains editing tools — there is a full timeline, trimming and compression utilities under invideo Studio — but the centre of gravity has moved to agent orchestration across a large catalogue of third-party generation models. If you arrive expecting a template picker, the interface you actually meet will look more like a production environment with a chat panel, a scene list and a collaborator presence bar.
The feature that most distinguishes invideo from single-shot generators is persistent context. Rather than requiring you to restate your creative direction in every prompt, the agents store your project's full context in their long term memory, so every clip stays consistent. In practice this means the character description, the lighting, the location and the tonal direction you established in scene one remain in force when you generate scene fourteen, without you re-pasting a style block each time.
This is also the feature most worth stress-testing during a trial. Memory systems degrade differently: some hold visual identity well but lose tonal direction, others do the reverse. Because the value of the whole platform rests on this mechanism, it deserves a deliberate test — generate an early shot, generate a much later one, and compare them side by side before committing a real project.
Consistency is only half the problem. The other half is change: a director decides the jacket should be brown, or the third act should happen at dusk instead of noon. On a per-clip generator, that decision costs you a full regeneration pass. Invideo's pitch is that you can experiment with new costumes, locations, or characters without needing to regenerate dozens of clips, with agents applying the change across the affected shots.
The homepage demonstrates this with a set of running agents scoped to Location, Character and Costume, each responsible for one axis of change. Conceptually this is closer to a parametric edit than to prompting — you are adjusting a property of the project rather than rewriting individual instructions.
Invideo takes an explicit stance against making users into prompt engineers. You describe your scene, and the agents will help you choose an AI model and write the prompt for each shot. This matters more than it sounds, because the platform exposes a very large model catalogue and those models are not interchangeable — one handles physical motion well, another handles stylised character work, another handles text rendering. Expecting a filmmaker to memorise the comparative strengths of two hundred models is unrealistic, so the agent brokers that decision.
The tradeoff is worth naming honestly: automated model selection means less direct control. Experienced users who already know exactly which model they want will care whether they can override the agent's choice, and that is a reasonable thing to verify during evaluation.
The feature set spans the phases of an actual production rather than the generation step alone. The site groups them as Multiplayer mode … Storyboarding … Script writing … Timeline editor … Build your own agents, and each covers a distinct stage:
Beyond the built-in agent, the platform lets you build custom agents to fill specific roles like cinematographer, music designer, and others. The mental model is a crew rather than a tool: instead of one general assistant, you define specialists whose remit and taste you configure once and reuse across a project. For a studio with an established visual language, this is the mechanism by which house style gets encoded rather than re-explained on every job.
Digital presenters and cloned voices are a first-class product line, not a side feature. The platform provides an AI avatar generator, voice cloning and text-to-speech, and avatar allowances are one of the dimensions that separate the paid tiers from each other — from a handful on the entry plan to two hundred on the top individual plan. Because these features touch biometric data and likeness rights, they carry their own consent flow and content rules, covered in the privacy and limitations sections below.
The clearest fit is serialised or narrative work, where consistency compounds. A microdrama with recurring characters across many episodes is exactly the scenario that breaks per-clip generators, and it is the case the platform's memory architecture is designed for. The Abundantia partnership signals this is not aspirational marketing — the technology is being pointed at actual film production.
Advertising needs the same asset in many formats and variants: vertical and horizontal, fifteen and thirty seconds, several hooks tested against each other. The combination of batch shot editing and multi-format output maps onto this well, since a variant is a parametric change to a brief rather than a new project. Brand consistency across the variant set is the thing that usually degrades in AI workflows, and it is precisely what persistent context is meant to protect.
The platform retains dedicated tooling for UGC-style product advertising, a format where the creative bar is a believable presenter and a fast turnaround rather than cinematic polish. Avatar and voice features carry most of the load here, and the economics work because these ads are produced in volume and iterated on quickly.
For social teams the relevant capability is spinning one idea into many vertical cuts. This is less about cinematic ambition and more about throughput — the ability to take an approved concept and produce a channel-appropriate set without rebuilding each one from scratch.
Larger organisations get a distinct configuration aimed at governed, repeatable production. The enterprise tier centres on a Context Engine holding brand and brief memory, purpose-built custom agents, automated quality scoring calibrated to the customer's own standards rather than generic benchmarks, and Multi-model output across Veo, Kling, SORA, Pixverse. Best output wins. That last mechanism — generating in parallel across several models and selecting the strongest result — is a meaningfully different economic model from picking one model and hoping.
Resist the urge to generate a clip immediately. The platform's advantage comes from context, so the first meaningful action is loading it: the script or treatment, the characters, the visual references, the tonal direction. The homepage demonstration shows exactly this — a user attaching a script and a treatment document before any generation begins. Context supplied up front is what every later shot inherits.
Draft the script inside the platform or bring an existing one. Keeping the script in the same environment as the generation matters because the agents read it as the source of truth for structure and dialogue, rather than treating each prompt as an unrelated instruction.
Convert the script into a shot-by-shot plan and revise it at that stage. This is the cheapest place to fix problems. A structural error caught in the storyboard costs an edit; the same error caught after generation costs credits and time. Treat the storyboard as the approval gate it is.
With the plan in place, generation proceeds shot by shot with agents selecting models and writing prompts. Costs are visible before you commit — the credit cost is shown before each generation is confirmed — so treat that number as a budgeting tool rather than a formality, especially on longer or higher-resolution outputs.
When something needs to change, change it as a project property rather than per clip. Adjusting a location or a costume through an agent scoped to that axis is both faster and more consistent than reissuing individual prompts, and it is the workflow the product is designed around.
Move to the timeline for pacing, transitions, audio and the finishing work. Generation produces material; the edit produces the piece. Budget real time for this stage — independent hands-on testing has found that generated coverage does not always match the length of the narration, so assembly may involve genuine editorial work rather than a rubber stamp.
Paid plans include Unlimited exports without watermark, so the export step does not consume your generation budget and there is no per-download charge on content you have already made.
Front-load context, then let it work. The single highest-leverage habit is investing in the setup phase. Every minute spent describing characters, tone and visual rules at the start is repaid across every subsequent shot. Teams that skip this and start prompting immediately end up fighting inconsistency they created themselves.
Run a consistency probe before committing. Generate shot one and a late shot back to back, then compare. This tells you what the memory system actually preserves on your kind of material, which is more useful than any general claim about it.
Storyboard as a budget control, not a formality. Because generation consumes credits and editing existing videos does not, every problem you catch before generating is money saved. The storyboard is where structural rework is cheapest.
Watch the credit cost display. Cost varies by model, output length and resolution. Generating a test at lower resolution before committing to a final pass at full quality is a straightforward way to avoid burning an allowance on an experiment.
Plan around the reset date, not the calendar. Credits reset on your subscription anniversary rather than the first of the month, and they do not carry forward. Someone who subscribed on the 22nd and plans work by calendar months will consistently misjudge their remaining budget.
Use custom agents to encode house style. If you produce recurring work, define specialist agents once rather than re-explaining preferences per project. This is how a consistent look survives across jobs and across team members.
Keep a real editor in the loop. Treat the platform's output as strong coverage that still needs an editor's judgement. The most reliable workflows use AI for generation volume and a human for pacing, emphasis and the final cut.
Verify rights before commercial release. Confirm the licence position for stock assets, avatars and voices used in a piece before it goes to a paying client, particularly where a recognisable likeness or voice is involved.
Filmmakers and narrative creators are the audience the product now addresses most directly. If your work involves recurring characters, continuity across scenes and a sequence that has to read as one piece, the memory architecture is the reason to look here rather than at a clip generator.
Advertising and performance marketing teams get value from the variant economics — many cuts of one concept, held on brand, produced without a proportional increase in effort.
Social media teams and content creators working at volume benefit from throughput and multi-format output, particularly where one approved idea has to become many channel-specific pieces.
Agencies and production studios are served by the collaboration layer and the custom agent system: multiplayer editing keeps a team in one project, and encoded house style keeps output consistent across different operators.
Enterprises with brand governance requirements are the target for the dedicated tier, where isolated environments, access logging, calibrated quality scoring and contractual guarantees around training data matter as much as the creative features.
Who should probably look elsewhere: anyone who needs one simple social clip occasionally will find this heavier than necessary; the credit model and the production-oriented interface are built for sustained work. Users who want granular manual control over which model runs each shot should verify how far the agent's choices can be overridden before committing.
Invideo AI is a web-based platform, and the site also offers Get the app … Get it on Google Play … Download on the App Store, so mobile access exists alongside the browser experience. Serious production work realistically happens on desktop given the timeline editor and multi-panel interface, with mobile more suited to review and light iteration.
The more consequential platform question is the model layer. Every paid plan carries Access to 200+ image, video, audio, music models including Seedance 2.5, Veo 3.1, Kling 3.0, Nano banana pro & Elevenlabs music. Rather than committing to one generation engine, invideo positions itself as an orchestration layer above many, which insulates users from any single model's weaknesses and from the rapid churn in the model market.
Stock media is bundled rather than separate: plans include access to iStock, Storyblocks and other providers, with per-plan allowances that scale from a hundred iStock assets on the entry tier to several thousand on the top one. For productions that mix generated and licensed footage, having both in one subscription simplifies both workflow and rights tracking.
Collaboration and integration round this out: real-time multiplayer editing, a public community on Discord, a help centre, and for enterprise customers, dedicated isolated environments with full logging and access controls.
Invideo AI runs on a credit model layered over subscription tiers. Credits behave like platform currency spent on generation, with the important clarification that they are not consumed by downloading work you have already produced or by editing existing videos.
Individual paid tiers are published on the pricing page, quoted at annual billing rates: Plus at $17/mo billed $200 yearly with 75 credits, Max at $85/mo billed $1,000 yearly with 390 credits, Generative at $170/mo billed $2,000 yearly with 800 credits, and Elite at $900/mo billed $10,800 yearly with 4,250 credits. Beyond the credit allowance, tiers differ on avatar and voice clone counts, generation concurrency, storage from 20 GB up to 10 TB, and stock allowances.
Beyond those four tiers, the help centre publishes a fuller plan table that the pricing page does not show, listing a Free tier with limited credits, Team Standard at 160 credits per seat, Team Premium at 1,600 credits per seat and a custom Enterprise plan. This matters for evaluation: reading only the pricing page would leave you believing there is no free entry point and no per-seat team option, when both exist.
How credits are charged is documented plainly. The cost depends on the model, the output length, and the resolution. The per-generation cost is displayed before you confirm, which makes budgeting possible in a way that opaque quota systems do not.
Reset behaviour is the detail most likely to cost you money. Allowances reset at the start of your billing cycle, dated from when you subscribed rather than the first of the calendar month, and Unused credits don't roll over. There is no banking of a slow month to fund a busy one. If you exhaust an allowance mid-cycle, the options are upgrading or purchasing a one-time top-up pack.
Watermarks are not a differentiator. Every paid plan includes Unlimited exports without watermark, so the paid tiers compete on generation capacity rather than by degrading output.
Pricing is explicitly subject to change. The company states that model and agent prices may change and reserves the right to update credit costs without prior notice. This is normal for a platform reselling third-party model capacity, but it means any figure quoted here should be re-checked against the live pricing page before you budget a project around it.
Refunds are narrow. Fees are non-refundable for the billing period purchased, with a seven-day window after an initial purchase or renewal provided you have not used any credits or premium features. Credits themselves are non-refundable and non-transferable. In practice, the refund window closes the moment you start using what you bought, so evaluate on the free tier or a low tier first.
Enterprise pricing is not published. That tier runs through a demo and sales conversation rather than self-service checkout.
The AI video market splits into layers, and invideo sits in a specific one. Useful comparisons:
The honest summary: invideo competes as an orchestration and production layer. If you need one clip from one model, going direct is simpler. If you need forty shots that cohere into one piece and survive a client's revision notes, the layer is the point.
The output still needs an editor. Independent hands-on testing surfaced concrete rough edges: a dynamic captions tool that failed to process a video, generated coverage that did not match the voiceover length, and — at the time of that test — audio layering wasn't supported in the built-in tools yet, sending the reviewer to external software to finish. Plan for a real finishing pass rather than assuming a one-click deliverable.
Credits are consumable and unforgiving. They do not roll over, they reset on your subscription date, and running out mid-project stops work until you upgrade or buy a top-up. Anyone with uneven monthly workloads should size their plan against peak rather than average demand.
Costs can move. Model and agent pricing is explicitly subject to change and credit costs can be updated without prior notice. A cost model validated in one quarter may not hold in the next.
Avatar use has hard content limits. The terms prohibit using avatars to impersonate any person in a deceptive way; or create deepfakes or similar content likely to cause real-world harm, alongside bans on unlawful, defamatory, hateful, harassing or pornographic content and any sexualisation of minors. These are enforceable contract terms, not guidelines.
You cannot build a competitor with it. The terms bar using the service to build a competing product or to circumvent usage limits and access controls — relevant if you were considering wrapping the platform inside your own offering.
Age requirements vary by region. The minimum is 13 globally, 16 in the European Economic Area, the UK and Switzerland, and 18 in India absent verifiable parental consent. Teams working with young creators or student programmes should check the applicable threshold.
Agentic automation trades control for speed. Having agents choose models and write prompts removes a burden, but it also removes a lever. Users with strong opinions about which model suits a particular shot should confirm how far they can override the automation.
Regional entity and governing law vary. Which company you contract with and whose law applies depends on your location, which matters for enterprise procurement and dispute resolution.
Third-party model dependency. Much of the catalogue is external. That breadth is a strength, but it also means availability, quality and pricing of specific models are not fully within invideo's control.
Yes. The help centre's plan table lists a Free tier with limited credits alongside the paid plans. Note that the main pricing page displays only the four paid individual tiers, so relying on that page alone would suggest otherwise. The free allowance is genuinely limited — independent reviewers report it running out quickly — so treat it as an evaluation path rather than a production plan.
Credits function as platform currency for generation. Cost per generation varies by model, output length and resolution, and the platform shows the cost before you confirm each one. Downloading content you already generated and editing existing videos do not consume credits. Allowances reset on your subscription anniversary date, and unused credits do not roll over.
You retain ownership of your content, and the terms grant you rights to commercialise outputs. You also grant the platform a perpetual, irrevocable, worldwide, royalty-free, non-exclusive licence in relation to outputs, so read that clause if exclusivity matters to your client contracts. Separately, stock assets and avatar or voice usage carry their own conditions worth verifying before commercial release.
The privacy policy states it does not: We do not use your User Content, Inputs, Output or Designs to train or fine-tune our proprietary artificial intelligence or machine-learning models. Aggregated and de-identified system and usage data is used for maintenance and improvement. Enterprise terms go further, committing that inputs and outputs are never used for training or shared for training purposes.
The policy publishes retention periods by category: account data is held for the duration of the account plus 90 days after a deletion request, user-generated content is deleted within 90 days of account deletion, payment records are kept seven years for legal and tax obligations, and server logs are retained for 12 months. Access, deletion, portability and consent-withdrawal rights are available.
Facial embeddings and voice characteristics are treated as biometric data, and consent is collected through a dedicated in-product step the first time you use avatar or voice cloning — separate from your acceptance of our Terms. Usage is also bounded by content rules prohibiting deceptive impersonation and harmful deepfakes.
Paid plans include access to more than 200 image, video, audio and music models, with Seedance 2.5, Veo 3.1, Kling 3.0, Nano banana pro and ElevenLabs music named explicitly. By default the agent selects a model per shot and writes the prompt for it. If you require manual model selection on every shot, confirm the extent of that control during a trial.
Yes. Per-seat team plans exist at 160 and 1,600 credits per seat, and a custom enterprise tier adds a brand-specific Context Engine, purpose-built agents, calibrated quality evaluation, parallel multi-model generation, isolated environments and access logging. Enterprise pricing is not published and runs through a demo and sales process.
The window is narrow. Fees are non-refundable for the billing period purchased, with a refund available within seven days of an initial purchase or renewal only if you have not used any credits or premium features. Credits are non-refundable and non-transferable. Testing on the free tier before purchasing is the practical approach.
No. All paid plans include unlimited exports without a watermark, and export does not consume credits. Watermarking is not used to differentiate between paid tiers.
