Simplify Document Parsing with AI

Anyparser enables developers and businesses to quickly extract structured data from a wide variety of file formats like PDFs, images, audio, and videos. Seamlessly integrate into your workflows and enhance productivity.

Anyparser Dashboard
How You Get AI-Ready Data, Effortlessly

Your Simplified Workflow

Anyparser streamlines content extraction with an intuitive API. Upload files or add websites, choose your model, and receive structured data in minutes.
Upload Files
Add PDFs, images, URLs, audio, or videos to start parsing.
Choose Parsing Model
Select the model based on your file type.
Process and Extract
Extract structured content (JSON or Markdown).
Integrate with RAG Systems
Use your data with LangChain, Llamaparse, Crew AI, or n8n.
Anyparser Dashboard

Overcome Your Document Parsing Challenges

Document parsing can be complex and time-consuming. Here's how Anyparser streamlines the process and solves common issues:

Load PDF documents for processing
Upload Microsoft Word document files
Select image files for text recognition
Add audio and video files for transcription or analysis
Enter a landing page, blog, or documentation URL
Anyparser
Anyparser Engine
Output in JSON format for data processing
HTML output for preview and display
Markdown output for embedding or documentation

Complex Integration

Many solutions require complex setup. Anyparser offers a simple, unified API for quick and easy integration.

Processing Speed

Slow processing creates bottlenecks. Anyparser speeds extraction by 10x with distributed processing.

Format Limitations

Traditional parsers handle limited formats. Anyparser works with PDFs, Office docs, images, and more.

Poor Accuracy

Inaccurate extraction causes issues. Our AI engine ensures high accuracy across document types.

Development Cost

Building parsing infrastructure is costly. Anyparser offers enterprise features with simple pricing.

Data Privacy

Security is crucial. Anyparser processes documents in real-time, ensuring privacy and compliance.

Universal Parsing for Modern AI Applications

Transform Any Document into AI-Ready Data

Power your AI applications with clean, structured data. Anyparser converts any document format into consistent, analysis-ready content optimized for LLMs and vector databases.
Everything You Need to Know

Frequently Asked Questions

Quick answers to common questions about Anyparser's document processing capabilities.

Sign up at studio.anyparser.com to get your API key. Install our SDK using npm/pip, and you can start processing documents in minutes. Check our quickstart guide for step-by-step instructions.

Anyparser handles PDFs, Word documents, images (via OCR), web pages, and more. Any document type that contains text can be processed and converted into structured data.

Yes! Anyparser is free for development on your local machine. You only pay when deploying to production, with transparent per-character pricing and no hidden fees.

Our AI models deliver high accuracy for clean documents, with reduced accuracy for complex layouts or poor quality scans. Performance varies based on document quality, format, and content complexity.

Absolutely! Anyparser integrates seamlessly with LangChain, LlamaIndex, and other AI frameworks. Our output is optimized for RAG pipelines and vector databases.

We process documents in real-time without storage, use end-to-end encryption, and are SOC 2 compliant. Your data is never used for training or shared with third parties.

We provide official SDKs for Python and Node.js, plus a REST API for other languages. All SDKs are fully typed and documented.

Most documents are processed in seconds. Large documents or batch processing may take longer. Our distributed architecture ensures consistent performance at scale.

Yes, we support 100+ languages for text extraction and OCR, including right-to-left scripts and Asian languages.

Anyparser automatically detects and extracts tables, preserving their structure. Images can be extracted and processed with our VLM model for comprehensive analysis.