# Qoder vs Rasterscan Qoder records 5,145,040 monthly visits with +81.8% month-over-month growth and Freemium, Free Trial, Free pricing. Rasterscan records 0 monthly visits with -100% growth and Contact for Pricing pricing. | Metric | [Qoder](https://openaitools.app/tool/qoder) | [Rasterscan](https://openaitools.app/tool/rasterscan) | | :--- | :--- | :--- | | Website URL | https://qoder.com | https://rasterscan.com | | Categories | AI Code Assistant, AI Agent, AI Developer Tools, AI Code Generator | AI Floor Plan Generator, AI Image Recognition, AI Image Scanning, AI Developer Tools | | Pricing Model | Freemium, Free Trial, Free | Contact for Pricing | | Monthly Visits | 5,145,040 | 0 | | MoM Growth Rate | +81.8% | -100% | | Primary Market | China | Global | | Direct Visits | 2,533,668 | 0 | | Review Score | 4.6 | 1.6 | | Saved Count | 4 | 0 | | Supported Platforms | Website | Website | ## Qoder Qoder is an agentic coding platform built for real software engineering rather than isolated code snippets. Its family of products covers an AI-native desktop IDE, plugins for VS Code and JetBrains, a CLI for terminal-first developers, and a mobile app for monitoring agents on the go. The pitch is simple: bring an idea, and Qoder's agents plan, edit across files, run checks and hand back working code. The platform leans heavily on context. Qoder indexes and reasons over your entire repository so that suggestions, refactors and new features respect existing architecture, conventions and dependencies. Developers can work in different modes — inline completion for small edits, conversational chat for collaborative changes, and an autonomous agent mode for delegating larger tasks with approval gates. Spec-driven development and a knowledge/base-context layer help keep long-running tasks aligned with the actual project. Qoder is also extensible. An Agent SDK lets teams embed Qoder's agent capabilities into their own products, while Cloud Agents APIs support building productised, server-side agent flows. With generous free access for individuals and paid tiers for teams, Qoder targets the growing market of developers who want agentic help without abandoning their existing tools or editor. **Pricing & Plans:** Freemium with a free plan and a free trial for individuals; paid Pro and team/business tiers unlock higher usage limits, advanced agent models and enterprise features. Exact prices are listed on Qoder's pricing page. - **Agentic IDE:** An AI-native desktop IDE where agents read the codebase, plan multi-step work and complete tasks across many files. - **Coding agent modes:** Switch between autocomplete for quick edits, chat for collaborative coding, and an autonomous agent for delegated tasks with approval controls. - **Codebase awareness:** Repository-wide indexing and context engineering keep changes aligned with your architecture, style and dependencies. - **Works where you work:** Plugins for VS Code and JetBrains, a terminal CLI, and a mobile app for monitoring and approving agents remotely. - **Agent SDK and Cloud Agents:** Embed Qoder's agent capabilities into your own products via the Agent SDK, or build managed agent services with Cloud Agents APIs. **Strengths:** Full product family: IDE, plugins, CLI and mobile in one agentic platform; Strong codebase context and spec-driven workflows for real projects; Agent SDK and Cloud Agents APIs for building your own agent products; Free tier makes it easy to evaluate before committing **Limitations:** Agentic coding needs careful review of diffs before merging; Advanced limits and enterprise features require paid plans; Full value depends on adopting Qoder's IDE or plugins into your workflow [Profile (Markdown)](https://openaitools.app/tool/qoder.md) ## Rasterscan Rasterscan applies computer vision to a stubborn problem in building software: floor plans and blueprints are still largely images, and getting usable data out of them has traditionally meant manual tracing. Rasterscan recognises the drawing automatically, identifying walls, doors and windows and returning them as structured geometry rather than leaving them locked in a picture. The engineering approach combines deep learning with image processing. Models segment the drawing and classify architectural elements, which means the system handles real-world variety — architectural blueprints, scanned plans and rough hand-sketches — rather than only clean CAD exports. The output is machine-readable, so it can feed estimate engines, CAD tools, facility-management systems or property databases. Integration is aimed at developers and software vendors: a hosted API for teams embedding recognition in their own products, and an on-premise installation for organisations that need drawings to stay inside their network. Because it is sold as a project-scoped solution, commercial terms and access are arranged directly with the vendor. **Pricing & Plans:** Pricing is listed as contact-for-pricing; Rasterscan is scoped per project for API and on-premise deployment rather than sold through public self-serve tiers. - **AI floor plan recognition:** Deep learning models classify architectural elements in a drawing instead of merely extracting text from it. - **Structured geometry output:** Walls, doors and windows are detected and returned as structured data that downstream software can consume. - **Blueprints and hand-sketches:** Handles architectural blueprints, scanned plans and hand-drawn layout sketches. - **Developer API:** A documented API lets building, CAD and property software vendors embed recognition into their own products. - **On-premise installation:** Deploy inside your own infrastructure when drawings cannot leave the organisation. **Strengths:** Purpose-built computer vision for architectural drawings rather than generic OCR; Recognises walls, doors and windows as structured geometry; Handles both formal blueprints and rough hand-sketches; API and on-premise deployment cover SaaS vendors and privacy-sensitive organisations **Limitations:** The website was not reachable during this review, so current availability should be confirmed directly; No public pricing; commercial terms require contact with the vendor; Focused narrowly on floor plan and technical drawing recognition rather than general OCR; Accuracy depends heavily on scan or sketch quality and drawing conventions [Profile (Markdown)](https://openaitools.app/tool/rasterscan.md) ## Frequently Asked Questions ### How do Qoder and Rasterscan compare in monthly traffic? Qoder has 5,145,040 monthly visits, while Rasterscan has 0. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Qoder has a month-over-month growth rate of +81.8%; Rasterscan has -100%. ### How does pricing compare? Qoder: Freemium, Free Trial, Free. Freemium with a free plan and a free trial for individuals; paid Pro and team/business tiers unlock higher usage limits, advanced agent models and enterprise features. Exact prices are listed on Qoder's pricing page. Rasterscan: Contact for Pricing. Pricing is listed as contact-for-pricing; Rasterscan is scoped per project for API and on-premise deployment rather than sold through public self-serve tiers. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | Provides a deeply integrated AI-native IDE experience for multi-file code editing, but lacks Qoder's standalone agentic orchestration. | [.md](https://openaitools.app/tool/cursor.md) | | 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Orchestrates parallel coding agents across an IDE and CLI ecosystem, but operates within Google's specialized development stack. | [.md](https://openaitools.app/tool/google-antigravity.md) | | 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) | | 4 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven AI development workflows inside an IDE, but is tailored tightly around AWS engineering paradigms. | [.md](https://openaitools.app/tool/kiro.md) | | 5 | [Planner 5D AI](https://openaitools.app/tool/planner-5d) | 3,110,494 | -7.7% | Freemium | Turn floor plans and photos into editable 3D home designs with AI | [.md](https://openaitools.app/tool/planner-5d.md) | | 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Offers fully autonomous multi-file software engineering in cloud sandboxes, but operates as a separate web platform rather than an IDE plugin. | [.md](https://openaitools.app/tool/devin.md) | | 7 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A minimal, extensible terminal coding agent you can reshape | [.md](https://openaitools.app/tool/pi-coding-agent.md) | | 8 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Features seamless multi-file project understanding and codebase editing inside an AI-driven IDE, though with slightly different agent customization options. | [.md](https://openaitools.app/tool/trae.md) | | 9 | [Business Card Scanner (CardScanner)](https://openaitools.app/tool/business-card-scanner) | 361,238 | -14.8% | Freemium | Turn paper business cards into digital contacts in seconds | [.md](https://openaitools.app/tool/business-card-scanner.md) | | 10 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Specializes in enterprise-grade multi-file code contexts and SDLC orchestration, but involves a more centralized workspace setup. | [.md](https://openaitools.app/tool/augment-code.md) | --- Source: https://openaitools.app/compare/qoder-vs-rasterscan More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)