VideoAll.ai
Summary
Every AI video platform charges you credits before you know if the model was even the right fit — you find out it was wrong when the render completes and the result is unusable. VideoAll.AI flips that sequence by showing you model fit scores, exact credit costs, and refund guarantees before you commit to a single generation.
The platform aggregates ten video and image models — Veo, Kling, Runway, Seedance, Wan, and others — into a single workspace, so you stop re-uploading assets across five browser tabs. A recommendation engine ranks model fit percentages against your specific prompt before you generate, and a live cost calculator updates the credit price as you change resolution, duration, or model. If a render fails, credits return automatically. The ceiling appears when you need anything beyond one-shot generation: no agent loops, no batch scheduling, no API surface described on the vendor page, which means teams building programmatic pipelines will hit a wall fast.
Bottom line: The right pick for a solo creator or small team running ad creatives and social content across multiple models without burning a credit budget on trial-and-error — the wrong pick the moment your workflow needs an API, batch automation, or anything beyond single-shot generation.
Pricing Plans
SubscriptionLast verified 1 week ago- Price
- $16/mo
Basic
19,000 credits / year
- Up to 105 Videos/Month
- Up to 316 Images/Month
- All 10 models included
- 1:1 priority support
Pro
36,000 credits / year
- Up to 200 Videos/Month
- Up to 600 Images/Month
- All 10 models included
- 1:1 priority support
Plus
64,800 credits / year
- Up to 360 Videos/Month
- Up to 1,080 Images/Month
- All 10 models included
- 1:1 priority support
Ultra
144,000 credits / year
- Up to 800 Videos/Month
- Up to 2,400 Images/Month
- All 10 models included
- 1:1 priority support
View full pricing on videoall.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Pre-generation model fit scores rank available models against your specific prompt, so you stop burning credits discovering that the model you picked cannot handle your shot type.
- Live credit cost preview updates as you change resolution, duration, or model — which means your budget math is done before you commit, not after you see the invoice.
- Automatic credit refunds on failed renders, so infrastructure failures on the vendor side do not drain your account without recourse.
- Ten models in one workspace without re-uploading assets between sessions, which eliminates the tab-juggling and file management overhead that compounds across a production day.
- AI prompt expansion converts plain-language descriptions into structured prompts with motion, lens, and lighting detail, so creators without cinematography vocabulary can reach director-grade output without iterating from scratch.
Cons
Sign in to edit- No API surface is described anywhere on the vendor page, which means any team that needs to trigger generation programmatically — from a CMS, a pipeline, or a scheduled job — cannot connect VideoAll.AI to their stack at all and must switch to a platform like Runway or Replicate that exposes an API.
- The platform is cloud-only with no self-hosted option, so teams operating under data residency requirements or handling sensitive client assets have no path to keeping generation infrastructure on their own infrastructure.
- Generation is strictly one-shot: there are no agent loops, no conditional branching based on output quality, and no automated retry logic beyond the basic credit refund. Teams producing high volumes of assets with quality gates baked into the workflow will need to build that review layer manually outside the platform.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-26T14:36:14.310Z
Best For
Who it's for
- Users needing multiple video models in one place
- Creators seeking refund protection on failed generations
- Teams managing video and image workflows centrally
- Budget-conscious users comparing credit costs upfront
What it does well
- Text-to-video generation
- Image-to-video conversion
- Text-to-image creation
- Video editing with AI models
- Batch image and video production
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Frequently Asked Questions
- Is VideoAll.ai free?
- VideoAll.ai has a permanent free tier alongside paid upgrades (paid plans from $16/mo). You can keep using a baseline version indefinitely without paying.
- Is VideoAll.ai open source?
- No — VideoAll.ai is a closed-source tool. Source code is not publicly available.
- What platforms does VideoAll.ai support?
- VideoAll.ai is available on: Web.
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Curated lists that include this category
VideoAll.AI is a hosted platform that routes text-to-video, image-to-video, text-to-image, and image-to-image requests across a roster of third-party AI models from a single interface. The core workflow is four steps: upload an optional anchor image, write or AI-expand a prompt, confirm the pre-selected model and settings, then check the exact credit cost before generating. The platform handles model matching, prompt expansion, and cost calculation — you review before anything runs.
The differentiating mechanic is pre-generation transparency. The vendor page describes a fit-score system that ranks available models against your stated goal — a product animation prompt surfaces Seedance at 96% fit, Wan at 88%, Kling at 74% — and a live cost display recalculates credits as you adjust any parameter. Credits refund automatically on failed renders, which removes the standard risk of losing budget on infrastructure errors outside your control.
This setup works well for creators producing ad creatives, short films, event content, or e-commerce assets who want model flexibility without platform-hopping. It breaks down for teams that need programmatic access: the scraped vendor page describes no public API, no self-hosted option, and no batch-scheduling tooling. A team that starts here for manual generation will eventually need to re-architect if their volume or automation requirements grow. At that point, platforms with documented APIs and pipeline integrations become the practical replacement.