# Dooray! vs Replicate AI

Dooray! records 1,532,922 monthly visits with -3.9% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing pricing. Replicate AI records 904,038 monthly visits with -8.4% growth and Paid pricing.

| Metric | [Dooray!](https://openaitools.app/tool/dooray) | [Replicate AI](https://openaitools.app/tool/replicate-ai) |
| :--- | :--- | :--- |
| Website URL | https://gov-dooray.com | https://replicate.com |
| Categories | AI Project Management, AI Productivity Tools, AI Task Management, AI Workflow | AI API, AI Models, AI Developer Tools, Open Source AI Models |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing | Paid |
| Monthly Visits | 1,532,922 | 904,038 |
| MoM Growth Rate | -3.9% | -8.4% |
| Primary Market | South Korea | United States |
| Direct Visits | 979,248 | 577,501 |
| Review Score | 4.3 | 4.6 |
| Saved Count | 0 | 5 |
| Supported Platforms | Website | Website |

## Dooray!

Dooray! is built by NHN Dooray Corporation and takes an everything-in-one-place approach to teamwork. Rather than stitching together a chat app, a task board, a mail client and a document wiki from different vendors, it offers each of those as an integrated module that shares the same people directory, the same notifications and the same mobile app. Projects combine tasks, files and wiki pages so that a piece of work, its attachments and the knowledge it produces stay connected. Around that core sit enterprise-grade necessities such as electronic approval with custom forms and links, meeting room and equipment booking, e-mail that ties into schedules, and video conferencing.

**Pricing & Plans:** Freemium model with a free trial, paid per-user plans and custom public-institution quotes; the site publishes a pricing guide and free trial sign-up.

- **Projects with tasks, files and wiki:** Group a piece of work, its attachments, its discussion and its documentation in one project space so nothing gets lost between tools.
- **Messenger, mail and video meetings:** Business chat, an e-mail client that integrates work and schedules, and browser-based video conferencing, all sharing the same directory.
- **Electronic approval with custom forms:** Build approval templates and link them into your workflows instead of routing paper or PDFs by hand.
- **Drive, wiki, calendar and address book:** Shared storage, a knowledge wiki, team scheduling and a corporate contact directory are included as first-class modules.
- **Resource booking, boards and forms:** Reserve meeting rooms and equipment, publish announcements on home/board spaces, and collect structured input through flexible forms.
- **Certified, encrypted hosting:** Data is stored encrypted on NHN Cloud infrastructure, and the platform carries a broad set of Korean and international security certifications.

**Strengths:** Genuinely unified suite: chat, mail, projects, wiki, approvals and meetings share one directory and one login.; Strong security and compliance story, with ISMS-P, CSAP, ISO/IEC 27001 and related certifications for regulated sectors.; Dedicated public-institution and university editions with tailored login and procurement paths.; Generative AI features and an open API make it extensible beyond the built-in modules.

**Limitations:** Documentation, support and much of the interface are Korean-first, which can slow adoption for international teams.; Public-sector and financial deployments are typically quote-based, so pricing is less transparent than consumer SaaS.; The breadth of modules means a meaningful onboarding effort before the suite feels natural.

[Profile (Markdown)](https://openaitools.app/tool/dooray.md)

## Replicate AI

Replicate's core pitch is a uniform interface over thousands of models. Models range from image generators such as FLUX, GPT Image, Nano Banana, Seedream, and Recraft, to video models from MiniMax, ByteDance, xAI, and Alibaba, plus speech, music, captioning, image restoration, and large language models. Each model page exposes concrete inputs, versioned releases, and cost estimates, and you call them the same way regardless of the underlying framework. The catalog blends community-contributed open-source models with officially maintained proprietary ones, and the company positions every listed model as actually working with a production-ready API rather than a demo.

Beyond running hosted models, Replicate is a deployment and training layer. Cog, the project's open-source packaging tool, converts a model into a container with a generated HTTP API, so your own weights can be served from the same interface. Public models run on shared infrastructure and you pay only for processing time, while private models run on dedicated hardware and are billed for the full time instances are online — setup, idle, and active — with an exception for fast-booting fine-tunes that only bill when processing. Automatic scaling handles traffic spikes without manual capacity planning.

Pricing is strictly consumption-based. Public models are usually billed per second of runtime according to the hardware selected, with some billed per input and output instead; published examples include Flux 1.1 Pro at $0.04 per output image and DeepSeek R1 at $3.75 per million input tokens. Hardware rates are public too, from a T4 at roughly $0.81 per hour up to eight H100s at about $43.92 per hour. You can start free, and enterprise contracts unlock additional multi-GPU A100, H100, and H200 capacity.

**Pricing & Plans:** Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

- **Thousands of models behind one API:** Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.
- **One-line-of-code inference:** Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.
- **Cog packaging and custom deployments:** Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.
- **Model fine-tuning:** Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.
- **Published hardware and inference rates:** Transparent per-second hardware rates across CPU, T4, L40S, A100, H100, and H200 configurations, with committed-spend options for multi-GPU capacity.

**Strengths:** Very broad model catalog spanning image, video, audio, speech, and LLMs behind one consistent API; Usage-based billing with openly published per-second hardware and per-output model rates; Cog makes it straightforward to package and deploy your own private models; Automatic scaling handles traffic spikes without manual capacity planning

**Limitations:** Costs are consumption-based and can rise quickly with heavy traffic or always-on private deployments; Private models bill for idle and setup time, not just request processing, unless they are fast-booting fine-tunes; Long-running GPU models can queue on shared public capacity during peak periods; It is an infrastructure layer, so you still need your own prompts, pipelines, and application code

[Profile (Markdown)](https://openaitools.app/tool/replicate-ai.md)

## Frequently Asked Questions

### How do Dooray! and Replicate AI compare in monthly traffic?

Dooray! has 1,532,922 monthly visits, while Replicate AI has 904,038. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dooray! has a month-over-month growth rate of -3.9%; Replicate AI has -8.4%.

### How does pricing compare?

Dooray!: Freemium, Free Trial, Paid, Contact for Pricing. Freemium model with a free trial, paid per-user plans and custom public-institution quotes; the site publishes a pricing guide and free trial sign-up. Replicate AI: Paid. Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | Powerful flexible document and knowledge management, but lacks native team chat and structured Gantt timelines. | [.md](https://openaitools.app/tool/t.md) |
| 2 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Excels at routing text and multimodal prompts across various providers, but lacks Replicate's dedicated custom ML deployment. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 3 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | AI teammate that records, transcribes and summarizes every meeting | [.md](https://openaitools.app/tool/fireflies-ai.md) |
| 4 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Faster serverless execution for image and video models, but less generalized custom model deployment than Replicate. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 5 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Stronger focus on LLM inference and fine-tuning, but lacks Replicate's diverse community-curated media model catalog. | [.md](https://openaitools.app/tool/together-ai.md) |
| 6 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 7 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 8 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers exceptionally fast inference speeds for open models, but has a narrower model selection than Replicate. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 9 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Offers collaborative task lists, Kanban boards, and AI agents, but has a different UI layout. | [.md](https://openaitools.app/tool/taskade.md) |
| 10 | [Motion](https://openaitools.app/tool/usemotion-com) | 511,886 | -15.5% | Free Trial, Paid | Automates task scheduling and calendar management intelligently, but offers less traditional project wiki features. | [.md](https://openaitools.app/tool/usemotion-com.md) |

---
Source: https://openaitools.app/compare/dooray-vs-replicate-ai

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)