chunkr.ai: Advanced Document Parsing for LLMs

chunkr.ai is a high-performance API service designed to transform complex documents—such as PDFs, Word files, PPTs, and images—into clean, LLM-ready data with precision and intelligence. Backed by Y Combinator and built in Rust for reliability, it excels in layout analysis, identifying over 11 document segment types like titles, tables, and images, while supporting multi-lingual OCR with automatic text-layer detection. Its use of Vision Language Models (VLMs) enables accurate parsing of tables, formulas, and other intricate content, with customizable prompts and intelligent chunking that preserves semantic integrity. With flexible input options via upload, URL, or base64, and robust security features including zero data retention and SOC2/HIPAA compliance in progress, chunkr.ai is ideal for developers, researchers, and enterprises working with document-heavy AI workflows. The built-in dashboard simplifies monitoring, experimentation, and configuration, while cloud-ready deployment and self-hosting via Docker and Helm charts offer scalability and control.

Key Features:

• Advanced Layout Analysis: Identifies over 11 segment types including titles, tables, lists, and images.
• Multi-Lingual OCR with Auto Text-Layer Detection: Supports diverse languages and automatically detects text layers for optimal processing.
• VLM-Powered Parsing: Leverages Vision Language Models for accurate extraction of complex content like tables and mathematical formulas.
• Customizable VLM Prompts: Allows tailored prompts for specific parsing needs.
• Intelligent Chunking: Enables user-defined chunk sizes while preserving semantic context and integrity.
• Word-Level Bounding Boxes: Provides precise spatial metadata for text elements.
• Flexible File Input: Accepts PDFs, PPTs, Word docs, and images through direct upload, URL, or base64 encoding.
• Built-In Dashboard: Offers real-time tracking of document ingestion, extraction results, and configuration testing.
• High Performance & Reliability: Built in Rust with under 0.05% error rate.
• Security & Privacy: Zero data retention, customizable expiration times, and compliance efforts underway (SOC2, HIPAA).
• Cloud-Ready & Self-Hosting Support: Deploy via Docker images and Helm charts for both cloud and on-prem environments.
• Tiered API Pricing: Includes Free, Starter, Dev, Growth, and Enterprise plans with scalable page limits.
• Research Plan (Free): Offers full feature access for non-commercial use with Docker and Helm deployment ease.
• Commercial License Plan: Provides managed deployment, unlimited pages, data tuning, enterprise SLAs, and 24/7 founder-led support.

Pricing: chunkr.ai offers a Free tier with 200 pages/month and Discord community support, ideal for getting started. For growing projects, Starter ($50/month, 5,000 pages), Dev ($200/month, 25,000 pages), and Growth ($500/month, 100,000 pages) plans provide increasing capacity with pay-as-you-go scaling. Enterprise and Commercial License options deliver custom solutions with unlimited usage, dedicated support, compliance, and deployment flexibility.

Conclusion: chunkr.ai stands out as a powerful, secure, and scalable document processing API for developers and organizations building AI applications, offering unmatched accuracy, flexibility, and privacy—perfect for turning messy documents into smart, actionable data.