# Open WebUI vs Received AI

Open WebUI records 804,534 monthly visits with -2.8% month-over-month growth and Freemium pricing. Received AI records 0 monthly visits with -100% growth and Paid, Contact for Pricing pricing.

| Metric | [Open WebUI](https://openaitools.app/tool/open-webui) | [Received AI](https://openaitools.app/tool/received) |
| :--- | :--- | :--- |
| Website URL | https://openwebui.com | https://received.ai |
| Categories | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools | AI Accounting, AI For Finance, AI Contract Management, AI Productivity Tools |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 804,534 | 0 |
| MoM Growth Rate | -2.8% | -100% |
| Primary Market | United States | Global |
| Direct Visits | 299,835 | 0 |
| Review Score | 4.4 | 4.1 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## Open WebUI

Open WebUI is an open-source, self-hosted interface for working with AI models. Instead of renting access to a single vendor's chatbot, you run the interface on your own hardware or cloud tenancy, then connect whatever models you want: local runtimes such as Ollama, OpenAI-compatible endpoints, Anthropic, or a mix of local and remote. Everything a team produces — conversations, prompts, models, skills and tools — stays in an environment you administer.

The platform has grown well beyond a chat window. Retrieval-augmented generation, web search, document understanding, voice input and output, and vision are built in, and Python tools, functions and pipelines let developers script custom behaviour and share it. On the operations side it offers enterprise features such as SSO, role-based access control, audit logs, data residency options, and on-premises, hybrid or fully air-gapped deployment for regulated environments. White-labeling and custom branding are also available for organizations that want their own look.

Open WebUI is distributed free of charge under an open-source license and can be installed with a single pip or Docker command, with no account required to get running. A separate enterprise offering is available for organizations that want commercial support, compliance guarantees and managed rollout help, which is quoted on contact. A large community maintains a public hub of prompts, models, tools and functions, so much of what teams need is already shared and ready to install.

**Pricing & Plans:** The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact.

- **Any Model, Any Endpoint:** Connect local runtimes like Ollama alongside OpenAI-compatible and Anthropic APIs, and switch between them inside one interface.
- **Retrieval and Search Built In:** RAG over your own documents, web search and citation-aware answers come standard, so responses are grounded in real sources.
- **Python Tools, Functions and Pipelines:** Extend the platform with Python code to add custom tooling, preprocessing, and multi-step pipelines, then share them with others.
- **Enterprise Controls:** SSO, RBAC, audit logs, data residency, and on-premises, hybrid or air-gapped deployment for organisations with strict requirements.
- **Community Hub:** Browse and install prompts, models, skills and tools contributed by hundreds of thousands of community members.

**Strengths:** Free and open source with no account needed to install; Works with local and cloud models through a single interface; Strong privacy posture: your data and models stay on your infrastructure; Extensive enterprise features including SSO, RBAC and audit logs

**Limitations:** Self-hosting requires you to handle servers, updates and backups; Some enterprise capabilities and support sit behind a paid, quote-based tier; Feature depth means a learning curve for non-technical administrators; Local model performance depends heavily on your own hardware

[Profile (Markdown)](https://openaitools.app/tool/open-webui.md)

## Received AI

Received targets B2B finance and FinOps teams that have outgrown spreadsheets. Instead of stitching together CSV exports, engineering tickets, and manual reconciliation, teams configure pricing models and contract terms directly in the platform and let it generate invoices, track usage, and reconcile payments. It supports self-serve subscriptions embedded into a company's own website, sales-led enterprise contracts with multi-year terms and milestones, and partner billing for referrals and resellers.

A core differentiator is its "spreadsheet-in-a-system" pricing configuration, which lets finance staff build and adjust any pricing model — subscriptions, usage, services, or hybrid — without engineering support. Received also handles revenue recognition beyond standard subscriptions, including usage, milestones, and price allocation for ASC 606 and IFRS 15 compliance, alongside real-time analytics covering every level of financial operations.

Integration is a major selling point: Received connects to ERP, CRM, PSP, and tax systems, and notably supercharges Stripe-based payment flows. Pricing is stage-based rather than volume-taxed, with the vendor emphasizing that it does not take a cut of customer revenue. A Start-Up tier ($250/mo) has eligibility limits (max 20 employees, max $500K ARR, under $5M raised, one year only), while Lite starts at $490/mo and higher tiers add usage automation, NetSuite/Salesforce integrations, B2B revenue recognition, and channel partner management.

**Pricing & Plans:** Paid, contact for pricing. Self-serve pricing tiers: Start-Up from $250/mo (qualification limits apply), Lite from $490/mo, with Plus and Received All tiers available via sales. Pricing is based on company stage and needs, with no revenue tax or volume commitments.

- **Contract-based billing automation:** Automate invoicing for bespoke multi-year enterprise contracts with varied products and pricing models, replacing manual spreadsheet processing.
- **Self-serve subscription charging:** Embed Received into your own website to manage self-led customers and auto-charge self-serve contracts without engineering work.
- **Channel partner management:** Handle referral and reseller billing, automate partner fees and sales commissions, and monitor partner activity and top-line contributions.
- **ASC 606 and IFRS 15 revenue recognition:** Go beyond subscription RevRec with support for usage, milestones, and price allocation across complex contracts.
- **Usage billing and integrations:** Track product usage in real time via CSV, API, or manual entry, and connect to ERP, CRM, PSP, and tax systems including NetSuite, Salesforce, QuickBooks, Xero, and Stripe.

**Strengths:** Purpose-built for B2B complexity rather than adapted from consumer subscription billing; Finance users can build and change pricing models without engineering support; Covers the full revenue lifecycle: pricing, invoicing, payments, reconciliation, and RevRec; Strong integration coverage across ERP, CRM, PSP, and tax tooling, with deep Stripe support

**Limitations:** No transparent self-serve checkout; several tiers require contacting sales; Entry-level Start-Up tier has strict eligibility limits and is capped at one year; Implementation and migration effort may be significant for teams moving off spreadsheets

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

## Frequently Asked Questions

### How do Open WebUI and Received AI compare in monthly traffic?

Open WebUI has 804,534 monthly visits, while Received AI has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Open WebUI has a month-over-month growth rate of -2.8%; Received AI has -100%.

### How does pricing compare?

Open WebUI: Freemium. The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact. Received AI: Paid, Contact for Pricing. Paid, contact for pricing. Self-serve pricing tiers: Start-Up from $250/mo (qualification limits apply), Lite from $490/mo, with Plus and Received All tiers available via sales. Pricing is based on company stage and needs, with no revenue tax or volume commitments.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Functions primarily as a lightweight CLI runtime for local models rather than a full-featured chat interface. | [.md](https://openaitools.app/tool/ollama.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 4 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) |
| 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Specializes in visual workflow building and RAG pipelines rather than serving purely as a chat interface. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 6 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Focuses on collaborative team AI workspaces and plugins, but shares similar open-source architectural goals. | [.md](https://openaitools.app/tool/lobehub.md) |
| 7 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Focuses heavily on privacy-first document chat and local RAG pipelines, but offers fewer general-purpose chat UI features. | [.md](https://openaitools.app/tool/anythingllm.md) |
| 8 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Offers robust multi-provider support and advanced user permission management, but has a slightly different configuration setup. | [.md](https://openaitools.app/tool/librechat.md) |
| 9 | [Jan](https://openaitools.app/tool/jan) | 291,894 | -9.6% | Free | Delivers a desktop-native application for running local models offline easily, but lacks Open WebUI's server-centric multi-user features. | [.md](https://openaitools.app/tool/jan.md) |
| 10 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Open-source AI automation that unifies agents, flows and 770+ app integrations | [.md](https://openaitools.app/tool/activepieces.md) |

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Source: https://openaitools.app/compare/open-webui-vs-received

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