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LlamaIndex — AI for Software Development

Parse, extract, classify and index complex documents with LlamaParse on LlamaCloud, plus an open-source framework.

What is LlamaIndex?

LlamaIndex: Parse, extract, classify and index complex documents with LlamaParse on LlamaCloud, plus an open-source framework. It has a free plan; paid plans start at $500/mo (Pro, monthly); pay-as-you-go $1.50 per 1,000 credits. Zekai's independent review scores it 7.9 out of 10. Best for developers parsing complex documents.

Facts checked 12 Nov 2026.

DifferentiatorAgentic parsing of tables, charts and handwriting
Proof1B+ documents processed (self-reported)
Try LlamaIndex
Free Plan Pro from$500/mo (Pro, monthly); pay-as-you-go $1.50 per 1,000 credits
Free plan verified · free AI tools for Developers
7.9 Zekai
Top for doc parsing
AI for Software Development
Ease of Use
7.0
Accuracy
9.0
Value
7.0
Time Saving
8.0
300k+ LlamaParse users (self-reported)Users
7.9/10Zekai Score
Document parsingExtractionRAG indexingPython and TypeScript SDKsFree credits
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Zekai Verdict

What is it?
LlamaIndex now presents itself as an applied AI lab building models for enterprise document parsing and extraction.
Best for
Developers who need reliable parsing of tables, charts and scanned documents.
Not ideal for
The pricing page does not define a credit
Price
Free plan
Zekai Score
7.9/10
Hand-scored by Zekai

Top AI for Software Development picks

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⚡ Quick answer

LlamaIndex is an applied AI lab whose main product is LlamaParse on the LlamaCloud platform, which parses, extracts, classifies, splits and indexes complex documents. It also maintains the open-source LlamaIndex framework and offers 10,000 free credits per month.

CategoryDocument parsing and RAG platform
Best forDevelopers parsing complex documents
Price from$500/mo (Pro, monthly); pay-as-you-go $1.50 per 1,000 credits
Free planyes
DifferentiatorAgentic parsing of tables, charts and handwriting
Proof1B+ documents processed (self-reported)
Rating4
📖 About LlamaIndex

LlamaIndex now presents itself as an applied AI lab building models for enterprise document parsing and extraction. Its main product is LlamaParse on the hosted LlamaCloud platform (Parse, Extract, Split, Classify, Index), alongside the open-source LlamaIndex framework.

How It Works

Your workflow, automated

1
Upload or connect
Send files via UI or SDK, or connect Google Drive, SharePoint, S3 or Confluence.
2
Parse and extract
Choose a parse mode, then extract fields, classify or split.
3
Index and query
Use managed Index or send the output to your own RAG pipeline.
Ready to automate your workflow with LlamaIndex?
Try LlamaIndex →
Real Impact

Before & After

❌ Before

Messy tables, charts and scans break basic PDF parsers and hurt retrieval quality.

Manual cleanup
✅ After

Documents become structured markdown or JSON ready for LLMs.

API call
AI Prompts

Prompts for Developers

Prompt 01 The SQL Query Generator with Schema Context
CREATE TABLE users ( id SERIAL PRIMARY KEY, name VARCHAR(100), email VARCHAR(100) UNIQUE, created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() ); CREATE TABLE orders ( id SERIAL PRIMARY KEY, user_id INTEGER REFERENCES users(id), amount…
Prompt 02 The MCP-Aware Database Migration Agent
(for interacting with the Prisma schema and CLI) *
Prompt 03 The Agentic E2E Test Runner
(for creating GitHub issues) Scenario: The "new user registration" feature has been deployed to the staging environment at
See all 16 AI prompts for Developers →
Social Proof

Trusted by 300k+ LlamaParse users (self-reported)

300k+ LlamaParse users (self-reported) professionals using this tool
Ease of Use
7.0
Accuracy
9.0
Value
7.0
Time Saving
8.0
300k+ LlamaParse users (self-reported)+ professionals are already using this tool.
Start Free Today →
Connects With

LlamaIndex integrations

LlamaIndex Framework
Setup complexity: Developer
LlamaIndex now presents itself as an applied AI lab building models for enterprise document parsing and extraction. Its main product is LlamaParse on the hosted LlamaCloud platform (Parse, Extract, Split, Classify, Index), alongside the open-source LlamaIndex framework.
The decision

Is LlamaIndex worth it?

Built for
Developers and enterprise teams building RAG, agents and document workflows.
Effort to adopt
Developer
Who It's For

Why Software Development choose this tool

🎯
Built for
Developers who need reliable parsing of tables, charts and scanned documents.
In-Depth Overview
LlamaIndex started as a framework for connecting LLMs to your data, and today its homepage leads with document processing: 'Turn Any Document Into AI-Ready Context'. The hosted platform, LlamaCloud, is where LlamaParse lives. The developer site lists Parse (PDFs, scans and Office files to markdown or JSON), Extract (schema-based structured data with citations to the page), Classify, Split and Index (managed ingestion, embedding and retrieval for RAG). The framework appears on the site as a docs link and a listed integration, next to n8n and LangChain. You get a web UI, an API and SDKs for Python, TypeScript, Go and Java. Connectors cover Google Drive, SharePoint, S3 and Confluence, and an MCP server is available for coding agents. LlamaParse claims support for formats, languages and handwriting, tables and charts. Pricing is credit-based. Pay-as-you-go costs $0 a month with 10,000 free credits monthly (about 1,000 pages) and $1.50 per 1,000 credits after that. Pro is $500 a month with credits at $1.25 per 1,000. Enterprise is custom. The pricing page never defines a credit, says basic parsing is as low as 1 credit per page and gives no exact cost for agentic modes, and its Pro credit figures conflict (400K in the table, 800K in a banner). Estimate cost on your own documents before committing.

Key Use Cases

👩‍💻
Prepare documents for RAG
Developer
Parse PDFs to markdown and index them for retrieval.
Parse + Index
🏦
Extract fields from filings
Finance analyst
Define a schema and extract values with citations to the source page.
Schema extraction
🏥
Classify incoming forms
Operations lead
Sort scanned forms by type using natural-language rules.
Classify and Split
✓ Pros
10,000 free credits every month (about 1,000 pages)
Handles tables, charts and handwriting
Deploy in the cloud or your own VPC
· Cons
The pricing page does not define a credit
Agentic parsing costs more than the 1-credit-per-page minimum, with no exact rates shown
Pro is $500 a month and its credit total is shown inconsistently (400K in the table, 800K in a banner)
The open-source framework is only linked, not described, on the pages we read
⚡ Editorial Verdict

LlamaParse is a focused choice for turning messy PDFs and scans into structured data, with a free monthly credit allowance and SDKs in four languages. Credits are not defined on the pricing page, agentic parsing costs more than the 1-credit minimum, and the step from pay-as-you-go to $500 Pro is large.

Questions & Answers

Frequently asked questions

What is LlamaCloud?

+
LlamaCloud is the hosted platform from LlamaIndex that includes LlamaParse and the related Extract, Split, Classify and Index products.

Is LlamaParse free?

+
There is a pay-as-you-go plan at $0 per month with 10,000 free credits per month (about 1,000 pages). After that credits cost $1.50 per 1,000.

How much is the Pro plan?

+
Pro is $500 per month with credits at $1.25 per 1,000.

Is the LlamaIndex framework still available?

+
The developer site lists the LlamaIndex Framework docs and integration, but the pages we read do not describe it.

Last reviewed:

Plans & Pricing

LlamaIndex pricing and plans

Free
$0
10,000 free credits per month (~1000 pages), 100 users, basic support
Get Started Free

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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AI Directory

About LlamaIndex

Full Description

LlamaIndex now presents itself as an applied AI lab building models for enterprise document parsing and extraction. Its main product is LlamaParse on the hosted LlamaCloud platform (Parse, Extract, Split, Classify, Index), alongside the open-source LlamaIndex framework.

Editorial Verdict

LlamaParse is a focused choice for turning messy PDFs and scans into structured data, with a free monthly credit allowance and SDKs in four languages. Credits are not defined on the pricing page, agentic parsing costs more than the 1-credit minimum, and the step from pay-as-you-go to $500 Pro is large.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to LlamaIndex unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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