Qvac vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionQvacSpider Cloud
PricingFree (open-source)Freemium (pay-per-use, ~$0.03/1K pages; AI Studio $6/mo add-on)
Core FunctionLocal, private AI SDK for on-device inferenceWeb crawling & scraping API for AI agents
InfrastructureLocal/edge (fully offline, no cloud dependency)Cloud-based (Rust engine, rotating proxies)
Output FormatsNot applicable (SDK for model inference)Markdown, HTML, JSON, CSV, XML, plain text
Integration ReachSDK for multiple programming languages (no named integrations)LangChain, LlamaIndex, CrewAI, AutoGen, etc., plus data connectors
Best ForPrivacy-first, offline, cross-platform AI appsAI agents & RAG pipelines needing real-time web data

Choose Spider Cloud if you need high-scale, real-time web data for AI agents or RAG pipelines with a pay-as-you-go model. Choose Qvac if you prioritize data privacy, offline operation, and on-device inference across mobile and desktop—and you're willing to trade cloud capabilities for complete local control.

Try QvacTry Spider Cloud
Qvac
Qvac

Run AI locally on any device with Tether's decentralized, cross-platform SDK for LLMs, voice, and vision.

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Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

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Pricing
Free
Freemium
Plans
—
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
3 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
DesktopMobileAPICLI
WebAPICLI
Categories
💾 Local & On-Device AI⚙️ Developer Infrastructure
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Run LLMs, speech-to-text, translation via single API
Cross-platform: Linux, macOS, Windows, Android, iOS
Fully offline operation, no internet required
P2P data sharing with decentralized architecture
Fabric LLM engine using Vulkan API for any GPU
LoRA fine-tuning directly on mobile devices
Genesis dataset: 148B tokens synthetic STEM/logic
Local Health app for on-device biometric tracking
Local Workbench app for on-device RAG
BrainWhisperer brain-to-text model, >90% accuracy, <2GB
Runs Hermes self-improving AI agent fully local
VisionPsy-Nano: 460M vision-language model, Apache 2.0
Plain-English to SQL local execution demo
WDK integration for agent transactions with Bitcoin/USDt
Security camera on-device reasoning demo
Scrape any website into markdown, JSON, or raw HTML
Full-site crawling at 100K+ pages/sec
10,000 core API requests per minute default
Web Search API: SERP + scraping + extraction in one call
/ai/search endpoint with relevance gate to skip irrelevant pages
Silk AI model: HTML-to-structured data and captcha solving on GPUs
Browser Cloud: full browser sessions over CDP
AI commands (Act, Extract, Observe) via WebSocket with AI Studio
Multiple output formats: HTML, raw, plain text, markdown, JSON, JSONL, CSV, XML
Stealth browser layer and Unblocker for anti-bot sites
Proxy pool with 215M+ residential and ISP IPs across 199+ countries
Robots.txt compliance on by default, disable per-request
data_connectors parameter: pipe results to S3, GCS, Google Sheets, Azure Blob, Supabase
extraction_schema parameter: AI output conforms to JSON schema
1,000+ ready-made scraper examples across 32 categories
Integrations
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Qvac 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.

Qvac

28 mentions across 4 sources · 45% positive — mixed

Hacker News, YouTube, GitHub, Lemmy

What users praise

  • • Fully on-device AI across Linux, macOS, Windows, Android, and iOS
  • • Single API covering LLM, speech, translation, and vision tasks
  • • Leader in on-device fine-tuning with 1-bit LoRA on mobile
  • • Strong privacy: no data leaves the device, no API keys needed

What frustrates them

  • • GitHub activity low: only 420 stars, 93 open issues signal immaturity
  • • Steep learning curve for non-experts due to advanced concepts
  • • Tether's corporate reputation creates mistrust and uncertainty
  • • On-device models lag cloud alternatives for complex tasks

Researched Aug 16, 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

  • AI agent developer building RAG pipeline
    Pick: Spider Cloud

    Spider Cloud provides real-time web crawling/ scraping, integrations with LangChain/LlamaIndex, and structured output—ideal for feeding external context to LLMs.

  • Privacy-conscious mobile app developer
    Pick: Qvac

    Qvac runs LLMs and speech-to-text entirely on-device, ensuring data never leaves the device, perfect for offline voice assistants or translators.

  • Data analyst needing large-scale web scraping
    Pick: Spider Cloud

    Spider Cloud's Rust engine, rotating proxies, and structured export (CSV, JSON) with data connectors to S3/GCS make it efficient for high-volume extraction.

  • Open-source enthusiast building edge AI apps
    Pick: Qvac

    Qvac is free, open-source, and works offline across platforms, giving developers full control without cloud reliance.

Frequently Asked Questions

Qvac vs Spider Cloud: which should you choose?

Choose Spider Cloud if you need high-scale, real-time web data for AI agents or RAG pipelines with a pay-as-you-go model. Choose Qvac if you prioritize data privacy, offline operation, and on-device inference across mobile and desktop—and you're willing to trade cloud capabilities for complete local control.

Which tool is better for RAG pipelines?

Spider Cloud, because it can crawl and scrape web pages in real-time and output structured markdown/JSON, directly feeding into LLM context. It integrates with LangChain, LlamaIndex, and others.

Can I use Qvac without internet?

Yes. Qvac is designed for offline operation—all inference happens locally on device.

Does Spider Cloud support structured data extraction?

Yes. Spider Cloud outputs markdown, HTML, JSON, CSV, XML, and plain text. It also has AI extraction for complex layouts.

Which tool is cheaper at scale?

Spider Cloud charges ~$0.03/1K pages and doesn't bill for failures, so it can be very cost-effective. Qvac is free but requires local hardware investment.

Can Qvac run on mobile?

Yes. Qvac supports Android and iOS, making it suitable for on-device AI apps.

Does Spider Cloud have an open-source option?

Yes. Spider Cloud has an open-source core available on GitHub for self-hosting.

Which tool is best for privacy?

Qvac, since all data stays on-device with no cloud transfer. Spider Cloud sends data to its servers for crawling, though it offers unblocker and rotating proxies.

Can I use Qvac for web scraping?

No. Qvac is for local AI inference (LLMs, STT, translation) and peer-to-peer sharing, not web scraping.

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Explore each tool further

Qvac
View Qvac reviewQvac alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Local & On-Device AI toolsBest AI Web Scraping & Search APIs toolsBest AI Developer Infrastructure toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026