Citra — Gives AI agents structured data from PDFs, including page-level proof and visual evidence.
Analyzed by Sai Pavan Gopularam · AI · Document Processing · View on GitHub
- Stars: 935
- Forks: 82
- Commits last 30 days: 55
- Health: Active (55 commits this month)
- Language: TypeScript
- License: MIT
What It Is
Citra is a tool that helps AI agents understand PDFs better than just reading text. Instead of giving an AI a messy wall of text from a document, Citra breaks down the PDF into structured data, like telling it exactly where a table is on a page, its dimensions, and even specific coordinates. Think of it like giving an AI a detailed map and an annotated guide to a book, rather than just the book itself.
This matters because when AI agents only get raw text, they often guess about context, page numbers, or table layouts, leading to confidently wrong answers. Citra solves this by providing verifiable 'proof' – like page numbers, bounding boxes, and confidence scores – for every piece of information. This prevents AI hallucinations and ensures the agent's responses can be traced directly back to the source, making its outputs reliable and defensible.
License Verdict
MIT License — Build and Sell Freely — Commercial Use Approved • No Copyleft Restrictions
The MIT License is highly permissive, allowing you to use, modify, distribute, and sell this software for any purpose, including commercial applications. You only need to include the original copyright and license notice in your distribution. There are no 'copyleft' clauses, so you don't have to open-source your own code.
How to Use It
Citra installs as a local-first MCP (Model Context Protocol) server via `npx`, meaning it runs directly on your machine without cloud dependencies or API keys. This sets up a simple command-line interface for your AI agents to interact with PDFs securely and privately.
Prerequisites:
- Node.js
- npm
Estimated setup time: 1 minutes.
npx -y @sylphx/citraWhat I'd Build With This
AI-Powered PDF Fact-Checker Plugin (micro-saas)
Build a browser extension or desktop app that integrates with research tools (e.g., academic paper readers, legal document viewers). Users highlight a claim in a PDF, and the plugin uses Citra to verify the claim against the document's structured data, providing page numbers, table references, or even OCR evidence. This helps users quickly validate information without manual cross-referencing.
Effort: 2 Weeks Build Time · Target: Researchers, Legal Analysts · Pricing: $19/month
Automated Compliance & Audit Document Processor (saas)
Develop a web service where businesses upload compliance documents (e.g., financial reports, regulatory filings). The service uses Citra to extract specific data points (e.g., revenue figures from a table on a specific page, policy clauses), cross-references them, and generates an audit report with direct citations and page-level proof. This automates tedious compliance checks for regulated industries.
Effort: 3 Months Build Time · Target: SMBs in Regulated Industries · Pricing: $299/month
Internal Knowledge Base Verification System (enterprise)
Create an on-premise or private cloud solution for large enterprises to ingest internal documentation (manuals, policies, contracts). Citra is used to index these PDFs, providing a highly accurate, verifiable knowledge base for internal AI assistants or RAG systems. The system can answer complex questions, citing exact locations in documents, reducing employee time spent searching and verifying.
Effort: 6 Months Build Time · Target: Large Enterprises · Pricing: $5,000+/month
Sai Pavan Gopularam's Take
Citra is a game-changer for building reliable AI agents that interact with PDFs. Most tools give you a text dump, but Citra provides verifiable proof like page numbers and coordinates, effectively eliminating AI hallucinations. I'd build a niche SaaS around automated contract review for small legal firms, charging $199/month, saving them hours of manual verification.
Watch Out For
- No Silent Fallback: If the required native binary for your platform isn't found, Citra will refuse to start, rather than silently falling back to a less capable or slower JavaScript version. This ensures predictable performance but means you must have the correct native package.
- Local-First Security: By default, Citra operates locally on your machine, keeping PDFs private. If you opt-in to HTTP transport for network access, you must explicitly configure security measures like API keys and directory access restrictions to prevent unauthorized data exposure.
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