TurboOCR vs Spider Cloud

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

Analysis generated Live tool data as of 2026-10-30
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TurboOCR or Spider Cloud: which should you choose?

DimensionTurboOCRSpider Cloud
PurposeSelf-hosted GPU OCR serverWeb crawling & scraping API for AI agents
PricingFree (MIT license)Freemium (pay per page / monthly plans)
DeploymentSelf-hosted Docker / single binaryCloud API + open-source self-hosted fallback
Input/OutputImages/PDFs → JSON with text & bounding boxesWeb pages → Markdown, HTML, JSON, CSV, XML
Best ForHigh-throughput on-premises OCR pipelinesAI agents & RAG needing web data
TurboOCR
TurboOCR

Self-hosted GPU document parser: PP-OCRv6 on TensorRT, up to 559 img/s on one RTX 5090.

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Spider Cloud
Spider Cloud

Spider Cloud is a scraping, crawling, and web search API that returns clean markdown or JSON for AI agents and RAG pipelines.

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Pricing
Free
Paid
Plans
—
Pay as you go$1/GB
AI Studio AlphaFrom $6/mo
UnlimitedFrom $40/mo
EnterpriseCustom
Popularity
3 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
APICLIDesktop
WebAPIPlugin
Categories
📑 Document AI & Data Extraction👁️ Computer Vision
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
OCR over HTTP and gRPC from a single binary
PP-OCRv6 model weights with TensorRT FP16 inference
Up to 559 images/sec on receipts and ~520 img/s on forms on an RTX 5090
92% word-F1 on FUNSD and 93% on CORD (medium tier, English/Latin-script)
Layout detection via PP-DocLayoutV3 (RT-DETR-L, 25 region classes)
Table extraction to HTML via SLANet-Plus
Formula rendering to LaTeX via PP-FormulaNet-S
Reading-order Markdown export via POST /ocr/markdown
Native PDF input rendered by a PDFium worker pool with auto-rotation
GET /capabilities endpoint reporting loaded pipeline stages
Prometheus metrics on /metrics (request counters, latency histograms, VRAM usage)
One-line Docker deploy with TensorRT engine caching to a named volume
MIT licensed open source
Selectable tiny / small / medium PP-OCRv6 tiers via OCR_MODEL
Optional page-image export from PDF input
Scrape a page into markdown, JSON, HTML, raw, or plain text
Crawl whole sites with each page streamed as one JSONL line in order
Web search endpoint returns SERP results plus the scraped pages behind them
Browser rendering runs scripts, loads lazy images, and reaches infinite scroll
Load protected pages through Spider's native browser engine with geo checks, returning 200
Full browser sessions over WebSocket at browser.spider.cloud
Provider router runs scrape and crawl requests on outside providers with your own keys
Prompt-based extraction returns named fields as JSON on scrape or crawl
Two-phase AI extraction: fast model for most pages, stronger for complex layouts
Data connectors stream crawl output to S3, GCS, Google Sheets, Azure Blob, or Supabase
Residential and ISP proxy pool with 215M+ exits in 199 countries
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
CLI that picks HTTP or a browser per page and stops at your budget
1,000+ scraper examples with working code
API responses in JSON, JSONL, CSV, and XML
Integrations
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets
Azure Blob Storage

Who should pick TurboOCR, and who should pick Spider Cloud?

  • DevOps engineer running document digitization pipeline
    Pick: TurboOCR

    TurboOCR provides free, high-speed OCR that can be self-hosted on bare metal or Docker, with Prometheus monitoring and easy scaling.

  • AI developer building a web-aware RAG system
    Pick: Spider Cloud

    Spider Cloud offers a cost-effective scraping API with 99.9% success, AI extraction, and native integrations with LangChain and LlamaIndex.

  • Solo founder needing one-off OCR on scanned PDFs
    Pick: TurboOCR

    TurboOCR's free self-hosted solution is ideal for low-volume or high-volume OCR without per-document charges, provided you have an NVIDIA GPU.

  • Team automating data extraction from competitor websites
    Pick: Spider Cloud

    Spider Cloud's rotating proxies, unblocker, and 1,000+ scraper templates make web data extraction reliable and low-cost.

  • Enterprise with sensitive data requiring on-premises processing
    Pick: TurboOCR

    TurboOCR is fully self-hosted and open-source, ensuring data never leaves the network, with no cloud dependency.

Frequently Asked Questions

Can TurboOCR be used for handwriting recognition?

No, TurboOCR does not support handwriting recognition. It uses PP-OCRv5 which is designed for printed text.

Does Spider Cloud require an AI add-on for extraction?

No, Spider Cloud has built-in AI extraction with a two-phase fallback (fast model + more capable model for complex layouts), but the AI Studio add-on ($6/mo) enables natural-language crawling commands.

Is TurboOCR CPU-only possible?

No, TurboOCR requires a CUDA-compatible NVIDIA GPU. There is no CPU fallback.

Does Spider Cloud offer a free tier?

Yes, Spider Cloud provides free credits to get started. Pricing is per page thereafter, with no charge for failed requests.

Which tool is better for extracting tables from PDFs?

TurboOCR can extract text and bounding polygons from PDFs, but it does not natively output tables. You would need post-processing. Spider Cloud is not designed for PDFs at all.

Can I self-host Spider Cloud?

Spider Cloud has an open-source core available on GitHub for self-hosting, but the cloud API offers additional features like rotating proxies and AI extraction.

Which tool integrates with LangChain?

Spider Cloud integrates natively with LangChain, LlamaIndex, and other AI frameworks. TurboOCR has no such integrations.

What is the latency of TurboOCR?

TurboOCR achieves 11ms p50 latency per image on a single RTX 5090, making it suitable for real-time OCR pipelines.

What else are TurboOCR and Spider Cloud compared with?

Where can you read more about TurboOCR and Spider Cloud?

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