Generate and edit images and short videos from prompts or source images, comparing about thirty third-party models on one shared credit balance in the browser.
Used this tool? Rate it
Used this tool? Rate it
Zanta AI is a browser studio that generates and edits images and short videos from text prompts or uploaded source images, routing each job to one of roughly thirty third-party models behind a single credit balance. It is AI software for generating images and videos from text and image inputs, run as an independent service that is not affiliated with the model providers whose models it exposes.
That independence has a consequence. The studio relies on third-party providers for payments, authentication, storage, email, and model execution, so the catalogue is assembled rather than owned. What Zanta controls is the wrapper: which controls each route exposes, what a generation costs, and how results are compared. The site collapses what others split across many landing pages into two workspaces — one for stills, one for video — with text and image treated as two modes of one job.
Each plan includes a credit balance tied to that billing option, and credits are spent across Zanta tools. Because both studios draw on one pool, a heavy week of video directly reduces how many stills remain.
Either studio takes a written brief or an uploaded frame: start from text when the scene still has to be invented, and from an image when the first frame, subject, or composition should stay recognizable. The web workflow accepts still-image uploads such as PNG, JPG, JPEG, WEBP, and GIF, and AI source images support uploads up to 64 MB per file.
The models are not interchangeable quality tiers; each route exposes only the controls that model supports. Runway takes text or exactly one starting image at five or ten seconds; Kling 3.0 also takes text or exactly one starting image but covers three to fifteen seconds; Veo 3.1 accepts text or one to two keyframes. Runway offers 720p, or 1080p at five seconds, while Kling 3.0 offers 720p, 1080p, or 4K where selected.
A background remover, an image upscaler, and an image-to-prompt extractor all currently cost zero Zanta credits. They are not unmetered: sign-in and a security check still gate them, and each accepts one source image per job. The upscaler exposes 2x and 4x scale options, and image-to-prompt outputs reusable text rather than a new visual — useful for transferable composition and lighting language, not for keeping a product's exact shape.
A separate class of pages wraps one route in a fixed configuration for a narrow job, such as an action-figure image preset or an AI-hug video preset. The hug preset keeps the setup fixed and takes one composite image containing exactly two consenting adults. Both studios also publish named, copyable prompt recipes that map straight into the generation form; each is a full production brief closing with negative constraints such as no readable text, no logo, and no watermark.
The published workflow is three steps in both studios, and model choice comes after input choice.
Two cost mechanics matter before the first paid run. Credits and timing depend on the selected model and settings such as duration, output count, ratio, and resolution, so a four-variant comparison costs four generations. And the studio shows the total first: duration, resolution, and result count determine the total displayed before you create the video. Treating that number as the contract, not the plan tier, is the only reliable way to forecast spend.
Four use cases are published with enough specificity to test against real work.
The utility tools chain into these rather than sitting beside them: background remover for a cutout, upscaler when resolution is the bottleneck, and image-to-prompt for reusable visual language.
Good fit: teams comparing several models against one brief. One balance spends across roughly thirty routes, so testing four models on a prompt costs four generations rather than four subscriptions. The named audiences are creators moving from concept to visual drafts faster, marketers needing campaign-ready images or short-form motion without heavyweight production overhead, and product teams making visuals for launches and demos.
Good fit: buyers who want the rules published up front. Pricing is public before purchase, and billing, refund, privacy, and acceptable-use policies are publicly accessible, on the stated reasoning that trust should not depend on private support threads.
Poor fit: anyone editing or extending existing video. The product accepts text or one starting image and does not expose a video-upload editor, and uploads are still-image formats only.
Poor fit: batch and pipeline work. Every current action accepts one source image per job, and no API or desktop client is published, so volume means repeating a manual run rather than scripting one.
Poor fit: NSFW or likeness-sensitive work. Prompts and uploads are screened before generation, and sexually explicit or suggestive content, content involving minors, harmful impersonation, deepfakes, and privacy abuse are prohibited outright.
Zanta runs in the browser and needs no separate editing software: you can go from prompt or source image to generated output, compare variants, and download the result without opening an editor. There is no published desktop app, mobile app, or public API, and support runs through a single email address, with a stated target of answering billing, refund, and cancellation requests within three business days.
One optional companion exists: a Chrome extension published by the site owner that adds a right-click item sending a selected web image into the video studio. It is version 1.0.0, updated 11 July 2026, 36.38 KiB, English-only, and carries no ratings; the listing states it does not read page content, inject scripts, collect browsing history, or request host permissions.
Four tiers exist, and every one is credit-metered — there is no unlimited option in the lineup.
| Plan | Monthly | Yearly | Credits | Processing |
|---|---|---|---|---|
| Free | $0.00 | — | 100 instant + 420 activation check-in | Not included |
| Starter | $29.90/mo | $100.00/yr ($8.33/mo) | 4,000/mo or 12,000/yr | Standard |
| Pro | $49.90/mo | $360.00/yr ($30.00/mo) | 10,000/mo or 120,000/yr | Priority |
| Max | $99.90/mo | $599.00/yr ($49.90/mo) | 25,000/mo or 300,000/yr | Highest priority |
Every paid tier lists the same feature set — HD watermark-free results, private generation, an ads-free workspace, unlimited storage, and all supported models — differing only in credit volume and processing priority. The choice is a throughput decision, not a capability one.
Cost is governed by the per-generation credit price, and the spread is enormous. Against the same 300,000-credit annual balance, published limits run to 300,000 Flux Schnell images but only 300 Veo 3 Quality videos — a thousandfold difference inside one plan. A Nano Banana 2 image lists at 140 credits, a Veo 3.1 clip at 1,100, and a five-second 720p Runway output starts at 50 credits, rising to 100 for 1080p or a ten-second 720p clip.
That arithmetic reframes the free tier: the 100 instant credits will not cover a single Nano Banana 2 image, and the 420 activation check-in credits are what make the advertised five images and two videos possible, on cheaper routes only.
One-time credit packs are a separate purchase path and do not auto-renew, and cancellation stops future renewals while the current paid period stays active. A purchase whose credits are entirely unused may be refunded within 14 days of the transaction date, used credits are generally non-refundable, and renewals are usually non-refundable unless support is contacted within 48 hours with the renewed credits untouched.
The honest comparison is not Zanta against a model, but Zanta against other ways of buying the same models. Independent analysis of this category identifies four buying patterns: aggregators selling one balance spendable across many third-party models, first-party suites selling a vendor's own models plus an editor, direct vendor access, and API-first infrastructure billed per call. Zanta sits in the first, and that analysis notes per-credit cost varies more by tier than by vendor.
Credit expiry and pooling. Freepik's comparable plans publish 240,000 credits per year on Premium and 600,000 on Premium+, valid for one year with no monthly resets, delivered upfront and expiring at the end of the annual period. Zanta's yearly plans are likewise annual pools and its monthly plans monthly allocations, but the pricing page publishes no carryover, reset, or expiry rule. For lumpy workloads that unstated rule is the most consequential unknown, worth asking support before committing.
Metered versus unlimited. Several competitors market unlimited generation on a named subset of models. Zanta does not, which is a trade rather than a weakness: an unlimited tier covering only some models still meters the expensive ones, while a fully metered catalogue puts every route's cost on one scale. Third-party reporting on Freepik documents unlimited access being introduced then partially walked back, with video still consuming credits regardless of tier.
The catalogue is explicitly unstable. Zanta is provided on an as-available basis, and the terms reserve the right to add, remove, rate-limit, or modify features, models, pricing, and limits at any time; prices, plans, credit rates, and model availability may all change.
What Zanta exposes is narrower than what the models can do. Runway's upstream extension route is documented by the provider, but the current Zanta product accepts text or one starting image and does not expose a video-upload editor — the visible studio controls are the capability truth. The hug preset likewise notes the upstream provider supports an optional second image, a control Zanta declines to imitate until separate person roles are proved. Never infer a Zanta capability from a model's own documentation.
Hard route limits. Runway output is five or ten seconds, and a ten-second output is limited to 720p while 1080p is available only at five seconds. No native generated-audio control is exposed for Runway, and every current action accepts one source image per job, with no batch processing anywhere in the product.
Upscaling does not recover missing detail. A 4x scale increases pixel dimensions but does not guarantee a true 4K result or recover detail that was never present; final dimensions depend on source size, and invented texture can look sharp without being accurate. Upscaling estimates missing pixels, so compression blocks, faces, tiny text, and line art can be reconstructed incorrectly.
No identity guarantee. No image-generation effect can promise exact identity preservation, and the advice given is to treat output as concept art and move to a controlled design or 3D workflow when likeness is business-critical. Background-remover edges carry a similar caveat: fine hair, glass, motion blur, and low contrast make foreground boundaries ambiguous.
Rights are conditional, not absolute. You retain ownership of uploaded inputs, and generated assets may be used for personal or commercial work subject to payment and compliance with the terms. But commercial use still depends on the plan, provider terms, and rights to a starting image and depicted people. Enforcement escalates from blocking a request to rejecting an upload, removing output, and suspending the account. Appeals are reviewed manually where needed, though a block may stay in place when safety, legal, or payment risk requires it.
Purpose-based retention, no self-serve deletion. Collected data includes prompts, uploaded images, generated assets, support requests, and logs such as IP address, browser type, and timestamps, and analytics may extend to session replay evidence, heatmaps, and regional experience patterns. Retention is purpose-based rather than a fixed schedule, and deletion requests go to the support email.
Independent evidence is effectively absent. There is no coverage in mainstream technology media, and no verifiable rated sample on the business software review platforms. The only public review is a single entry on an unclaimed consumer profile, carried with the platform's own warning that reviews of this kind may not be representative.
There is a free tier with 100 credits added instantly plus 420 activation check-in credits, and the background remover, upscaler, and image-to-prompt tools currently cost zero credits. Free excludes HD watermark-free results, private generation, and priority processing.
By generation, not by time. The charge follows the selected model and settings such as duration, output count, aspect ratio, and resolution, and the studio displays the total before you run the job.
No. Uploads are still images in PNG, JPG, JPEG, WEBP, or GIF up to 64 MB per file, and the product does not expose a video-upload editor.
Generated assets may be used for personal or commercial work subject to payment and compliance with the terms, but final usage also depends on the plan, provider terms, and rights to any starting image and depicted people.
They are collected as product data alongside generated assets and logs including IP address and browser type, then shared with the providers running authentication, payments, model execution, storage, and analytics. Personal data is not sold, and deletion requests go to the support email.
Only if you have not spent the credits. A purchase with no credits used may be refunded within 14 days of the transaction date; once credits have been used for generation the purchase is generally non-refundable.
The published diagnosis is scope: the job is usually defined too broadly. Narrow it to one clear scene, one still, or one controlled edit, then retry, changing one variable per run.
