# LlamaIndex vs Procys LlamaIndex records 387,910 monthly visits with +19.9% month-over-month growth and Freemium, Contact for Pricing pricing. Procys records 2,786 monthly visits with +24.5% growth and Paid, Contact for Pricing pricing. | Metric | [LlamaIndex](https://openaitools.app/tool/llamaindex) | [Procys](https://openaitools.app/tool/procys) | | :--- | :--- | :--- | | Website URL | https://www.llamaindex.ai | https://procys.com | | Categories | AI Assistant, AI Agent, AI Knowledge Management, AI Developer Tools | AI Document Extraction, AI OCR, AI Accounting, AI PDF | | Pricing Model | Freemium, Contact for Pricing | Paid, Contact for Pricing | | Monthly Visits | 387,910 | 2,786 | | MoM Growth Rate | +19.9% | +24.5% | | Primary Market | United States | India | | Direct Visits | 119,194 | 1,097 | | Review Score | 4.8 | 4.3 | | Saved Count | 0 | 4 | | Supported Platforms | Website | Website | ## LlamaIndex LlamaIndex spans two complementary products. The open-source LlamaIndex and Workflows libraries give developers low-level and high-level building blocks for LLM applications, with a strong following (tens of millions of package downloads monthly). On top of that sits LlamaParse, the commercial agentic document processing platform that turns messy real-world documents into clean, structured, machine-readable data. LlamaParse is designed for document types that break naive text extraction: dense multi-page tables, embedded charts and graphs, irregular layouts, scanned forms and handwritten notes. It routes content to specialized expert agents by content type, applies recursive auto-correction loops to catch and fix errors, and returns markdown, plain text, JSON, XLSX or HTML with layout detection and precise bounding boxes. Schema-based extraction agents turn unstructured documents into defined structured objects without model training, and Accuracy is tunable through multiple parse tiers — Cost Effective, Agentic and Agentic Plus — with Auto Mode routing pages to the cheapest tier that meets quality needs. The company also ships LiteParse, an open-source, VLM-free local parser for PDFs, Office docs and images. Deployment options cover SaaS, hybrid and private VPC across major clouds, and LlamaParse is available on AWS and Azure marketplaces. Compliance includes SOC 2 Type II, GDPR and HIPAA, with 99.9% uptime and 130+ supported file formats across 80+ languages. Pricing is credit-based: a free tier with 10K credits per month (roughly 1,000 pages), pay-as-you-go at $1.50 per 1K credits, a Pro plan at $500/month with bonus credits and discounted $1.25 per 1K credits, and custom Enterprise pricing with higher rate limits, SSO and dedicated support. **Pricing & Plans:** Freemium with credit-based consumption. The free tier includes 10K credits per month (about 1,000 pages) for 100 users. Pay-as-you-go credits cost $1.50 per 1K credits. Pro is $500/month with discounted $1.25 per 1K credits, higher concurrency and priority Slack support. Enterprise is custom-priced with 5x rate limits, SSO, VPC or hybrid deployment and a dedicated account manager. - **Agentic document parsing:** Content is routed to specialized expert agents for text, tables, charts and images, with recursive auto-correction loops that raise pass-through rates on messy scans and multi-modal documents. - **Schema-based structured extraction:** Define the output schema you need and extraction agents return structured JSON per document, page or table row — with citations and confidence scores — without any model training. - **Classify, split and index:** Categorize documents with natural-language rules, segment them into logical sections, and use enterprise-grade chunking and embedding pipelines optimized for retrieval precision. - **Tunable accuracy and cost tiers:** Choose Cost Effective, Agentic or Agentic Plus parsing per page, or let Auto Mode route pages to the cheapest tier that satisfies your quality bar, saving up to 80%. - **Open-source foundation:** The LlamaIndex framework, Workflows and the VLM-free LiteParse local parser are open source, so teams can build locally and scale on the managed platform when needed. **Strengths:** Best-in-class accuracy on complex tables, charts and handwriting compared with generic OCR and vision models; Multiple parse tiers plus Auto Mode let teams trade off cost and accuracy per page; Strong developer ecosystem via the open-source LlamaIndex and Workflows libraries; Enterprise-ready: SOC 2 Type II, GDPR, HIPAA, VPC deployment and 99.9% uptime **Limitations:** Credit-based pricing requires teams to model page volumes and tier choices to control spend; The commercial LlamaParse platform itself is not open source; only the surrounding libraries are; Pro tier at $500/month is a significant jump from free for small teams [Profile (Markdown)](https://openaitools.app/tool/llamaindex.md) ## Procys Procys, founded in Rotterdam in 2018, is a document automation platform aimed at finance and operations teams that are still retyping data out of PDFs. You upload invoices, purchase orders, receipts, passports, ID cards or other business documents, define which fields matter, and the self-learning engine returns structured values. AI Auto-Split handles multi-page batches by intelligently separating mixed documents so each page is classified and extracted with the right rules, and extracted data can flow straight into ERP and accounting systems rather than a CSV graveyard. The platform's differentiators are breadth and integration. Procys connects with more than 260 applications, including Holded, Microsoft Business Central, Twinfield and secure SFTP transfers, and it exposes a REST OCR API for teams that want to embed capture inside their own software. Accounts payable teams can also use Pryme, a dedicated integration for Microsoft Business Central that automates the invoice approval and posting cycle. Security is a central selling point. Procys is ISO 27001 certified, states support for SOC 2 and GDPR, encrypts data with SSL on AWS and Google Cloud, and its invoice software has earned approval from the Spanish Tax Agency (AEAT)—a meaningful credential for accounting firms operating in Spain. Pricing is consumption-based: a free plan covers 10 pages for a month, and pay-as-you-go credit packs keep costs tied to document volume. **Pricing & Plans:** Paid, consumption-based pricing with a free entry point: the Free plan covers 10 pages with one month of access and all standard features. Beyond that, pay-as-you-go credit packs start around 250 pages at roughly €25, with credits that never expire, plus API access and priority support. Workflow execution is billed per automated step per document, and extended data storage or some integrations cost extra. Larger volumes and enterprise deployments are handled through a booked demo and custom quote. - **Customized data extraction:** Invoices, purchase orders, receipts, passports, ID cards and HR or legal paperwork are parsed into structured fields you choose, not just raw OCR text. - **Self-learning engine:** Extraction accuracy improves as you correct results; the engine learns from your documents and field selections over time. - **ERP and accounting integrations:** Push captured data straight into more than 260 business applications, including Holded, Microsoft Business Central, Twinfield and SFTP destinations. - **AI Auto-Split:** Automatically splits multi-page batches of mixed documents so each page is classified and processed correctly without manual sorting. - **OCR API:** Call Procys OCR and extraction over REST so document capture can be embedded directly into your own product or internal workflow. **Strengths:** Handles invoices, receipts, purchase orders and identity documents in one platform; Over 260 integrations including Holded, Business Central, Twinfield and SFTP; ISO 27001 certified with SOC 2 and GDPR alignment and AEAT approval; Free plan and non-expiring pay-as-you-go credits make evaluation low-risk **Limitations:** No transparent public subscription tiers; heavier usage requires a sales conversation; Pay-as-you-go credits are consumed per document and per workflow step, which can be tricky to forecast; Document data is kept for one month post-export by default, and longer retention costs extra; Best value comes from ERP integration, so standalone users get less out of it [Profile (Markdown)](https://openaitools.app/tool/procys.md) ## Frequently Asked Questions ### How do LlamaIndex and Procys compare in monthly traffic? LlamaIndex has 387,910 monthly visits, while Procys has 2,786. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? LlamaIndex has a month-over-month growth rate of +19.9%; Procys has +24.5%. ### How does pricing compare? LlamaIndex: Freemium, Contact for Pricing. Freemium with credit-based consumption. The free tier includes 10K credits per month (about 1,000 pages) for 100 users. Pay-as-you-go credits cost $1.50 per 1K credits. Pro is $500/month with discounted $1.25 per 1K credits, higher concurrency and priority Slack support. Enterprise is custom-priced with 5x rate limits, SSO, VPC or hybrid deployment and a dedicated account manager. Procys: Paid, Contact for Pricing. Paid, consumption-based pricing with a free entry point: the Free plan covers 10 pages with one month of access and all standard features. Beyond that, pay-as-you-go credit packs start around 250 pages at roughly €25, with credits that never expire, plus API access and priority support. Workflow execution is billed per automated step per document, and extended data storage or some integrations cost extra. Larger volumes and enterprise deployments are handled through a booked demo and custom quote. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research. | [.md](https://openaitools.app/tool/chatgpt-4.md) | | 2 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Anthropic's frontier AI workspace powered by Claude 5.5 for agentic coding, analysis, and nuanced writing. | [.md](https://openaitools.app/tool/claude-2.md) | | 3 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) | | 4 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) | | 5 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) | | 6 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Own your intelligence: a private AI assistant that runs entirely on your machine | [.md](https://openaitools.app/tool/anythingllm.md) | | 7 | [PDF.ai](https://openaitools.app/tool/pdf-ai) | 387,819 | -5.5% | Freemium, Free Trial | Chat with any PDF and get cited answers instantly | [.md](https://openaitools.app/tool/pdf-ai.md) | | 8 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Every AI conversation, one open-source workspace | [.md](https://openaitools.app/tool/librechat.md) | | 9 | [Nanonets](https://openaitools.app/tool/nanonets) | 221,826 | -10.6% | Free Trial, Paid, Contact for Pricing | AI agents that run document-heavy business processes end to end | [.md](https://openaitools.app/tool/nanonets.md) | | 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) | --- Source: https://openaitools.app/compare/llamaindex-vs-procys More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)