Iris Android vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Iris Android | Spider Cloud |
|---|---|---|
| Pricing | Free (open-source) | Freemium (e.g., $0.03/1K pages, AI Studio $6/mo add-on) |
| Primary Function | On-device LLM inference for Android | Cloud web crawling & scraping API for AI agents |
| Key Differentiator | Fully offline, locally stored models, GGUF support | Rust engine, AI Studio, Browser AI commands (Act, Extract, Observe) |
| Integrations | None (standalone app) | LangChain, LlamaIndex, CrewAI, S3, GCS, Supabase, etc. |
| Data Privacy | All data stays on device, no internet needed after download | Cloud-based, data sent to Spider servers |
| Use Case Fit | Private offline chat on mobile, AI experimentation | RAG pipelines, LLM-powered web research tools |
If you need to feed real-time web data to AI agents or LLMs, Spider Cloud is purpose-built with a Rust engine, AI extraction, and a streaming API—practical, cost-efficient, and developer-friendly. If you're an Android user wanting to run LLMs privately offline without cloud dependencies, Iris Android is the only serious choice. Different jobs, different tools: pick the one that matches your deployment environment.
AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.
Visit WebsiteWhat real users say: Iris Android vs Spider Cloud
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Iris Android
36 mentions across 4 sources · 28% positive — critical
YouTube, Bluesky, GitHub, Lemmy
What users praise
- • Runs entirely offline with no internet after model download.
- • All data stays on device — zero data leakage.
- • Supports multiple open-source LLMs via GGUF format.
- • Lightweight app size; optimized for mobile hardware.
What frustrates them
- • App freezes after short conversations in version 0.2.
- • Performance degrades after 30 minutes of continuous use.
- • No HuggingFace credentials support — 401 error on search.
- • Nearly all community posts are about other products named Iris.
Researched Jul 28, 2026
Spider Cloud
41 mentions across 2 sources · 0% positive — critical
YouTube, Lemmy
What users praise
- • Competitive pay-as-you-go pricing at $1/GB with no expiry.
- • Default rate limit of 10,000 requests per minute is generous.
- • Broad output formats (HTML, markdown, JSON, CSV) cover diverse needs.
- • Integrated Web Search API bundles SERP and extraction for AI agents.
What frustrates them
- • No community feedback to confirm reliability or performance.
- • Self-reported metrics lack independent verification.
- • Stealth browser success may vary across real sites.
- • Potential legal risks from scraping; compliance is user's responsibility.
Researched Aug 26, 2026
Who should pick which
- Agent developer building a web research assistantPick: Spider Cloud
Spider Cloud's API with streaming, AI extraction, and Search endpoint provides real-time structured web data, which is essential for RAG and AI agent workflows. Its integrations with LangChain and LlamaIndex simplify pipeline setup.
- Privacy-conscious professional needing offline LLM on phonePick: Iris Android
Iris Android runs LLMs locally on Android without any network connection after model download, ensuring complete data sovereignty and offline functionality.
- Data scientist scraping e-commerce sites at scalePick: Spider Cloud
Spider Cloud's Rust engine, unblocker with rotating proxies, and 1,000+ scraper examples handle high-volume scraping with a 99.9% success rate at low cost, plus data connectors for direct pipeline integration.
- Android user experimenting with GGUF modelsPick: Iris Android
Iris Android provides a simple interface to download and run GGUF models on-device, with custom import and model management, ideal for testing and tinkering.
- Team building an LLM-powered chatbot with web contextPick: Spider Cloud
Spider Cloud's structured output (markdown, JSON) and AI extraction (with two-phase fallback) seamlessly feed clean web data into LLM prompts, and the Streaming API keeps latency low.
Frequently Asked Questions
Iris Android vs Spider Cloud: which should you choose?
If you need to feed real-time web data to AI agents or LLMs, Spider Cloud is purpose-built with a Rust engine, AI extraction, and a streaming API—practical, cost-efficient, and developer-friendly. If you're an Android user wanting to run LLMs privately offline without cloud dependencies, Iris Android is the only serious choice. Different jobs, different tools: pick the one that matches your deployment environment.
Can I run Spider Cloud on my Android phone?
No, Spider Cloud is a cloud API—it's accessed via HTTP requests, not an on-device app.
Does Iris Android support web scraping?
No, Iris Android only runs LLMs locally; it cannot fetch or scrape web content.
Can I use Spider Cloud offline?
No, Spider Cloud requires internet connectivity to the API and the target websites.
Does Iris Android require internet after initial model download?
No, it operates fully offline; all inference and data stay on the device.
Does Spider Cloud have a free tier?
Yes, it offers a freemium plan—details on their website (likely limited monthly pages).
Can I import custom GGUF models into Iris Android?
Yes, the app supports importing custom GGUF files via the import feature.
Which tool is better for RAG pipelines?
Spider Cloud is ideal for RAG because it extracts structured web data and integrates with vector databases and LLM frameworks.
Does Iris Android support multimodal models?
No, Iris is limited to text-only LLMs in GGUF format; no image/audio/video support.
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Last reviewed: July 3, 2026