Omni Text

Introduction

Learn about our mission and how our API solves document processing challenges

Introduction

Welcome to our document processing API. We're building the future of intelligent document understanding and processing.

Our Mission

We're on a mission to eliminate the complexity and performance bottlenecks of document processing for developers. Born from firsthand frustration with slow, fragmented parsing solutions, we've built the unified API that we wished existed - one simple call to handle any document type at scale, so developers can focus on building great products instead of wrestling with document parsers.

The Problem We Solve

Why We Built This

As developers ourselves, we've lived through the document processing nightmare. We've spent countless hours building custom parsers for different file types, watching our applications crawl as document processing became the bottleneck, and juggling multiple tools just to handle legacy documents, modern formats, and OCR requirements.

When we looked for existing solutions, nothing checked all the boxes - they either lacked legacy format support, had limited file type coverage, didn't provide structured output, or had prohibitive pricing with no meaningful free tier for experimentation.

We built this API because we believe document processing should be simple, fast, and accessible.

The Core Problems

Document processing has traditionally been complex, time-consuming, and fragmented across multiple tools and services. Organizations struggle with:

  • Format Complexity: Supporting diverse document formats including legacy document types (PDF, DOC, DOT, etc.)
  • Content Extraction: Accurately extracting text while preserving structure and meaning
  • Scalability: Processing large volumes of documents efficiently
  • Integration Challenges: Complex APIs that are difficult to implement and maintain
  • Cost Management: Unpredictable pricing and hidden costs

Our Solution

Our API provides a unified, developer-friendly solution for document processing:

Simple Integration

  • Single API: One endpoint for multiple document processing tasks
  • RESTful Design: Familiar HTTP-based interface with clear request/response patterns
  • Authentication: Straightforward Bearer token authentication

Powerful Processing

  • Text Extraction: High-accuracy text extraction from various document formats with two extraction modes:
    • Basic: Fast, efficient extraction for standard documents
    • Premium: Advanced extraction with maximum precision and structure preservation
  • Semantic Embeddings: Generate vector embeddings for search and AI applications
  • Rich Metadata Extraction: Automatically extract comprehensive metadata from every document including:
    • Document properties (title, author, creation date, modification date)
    • Content analysis (page count, word count, language detection)
    • Technical specifications (file size, format version, encoding)
    • Structure information (headings, tables, images, formatting)

Each extraction tier offers valuable capabilities with their own trade-offs. Learn more about Extraction Modes to choose the right approach for your use case, or explore Metadata Extraction to understand the rich document insights available.

Developer Experience

  • Comprehensive Documentation: Clear guides, examples, and API reference
  • Transparent Pricing: Predictable costs with free credits and flexible billing
  • Usage Analytics: Monitor consumption and optimize implementation

Key Benefits

  • Fast Implementation: Get started in minutes with our Quick Start guide
  • Reliable Processing: Enterprise-grade infrastructure with high availability
  • Flexible Billing: Pay-as-you-go with generous free tiers
  • Comprehensive Support: Detailed documentation and responsive support

Getting Started

Ready to transform your document processing workflow? Start with our Quick Start guide to make your first API call in minutes.

Use Cases

Our API powers a wide range of applications:

  • Content Management Systems: Automate document indexing and search
  • AI Applications: Prepare documents for LLM processing and RAG systems
  • Document Analytics: Extract insights and patterns from document collections
  • Workflow Automation: Streamline document-heavy business processes
  • Search Applications: Build semantic search with document embeddings

What's Next

Explore our comprehensive guides to master the API, or jump straight to the API reference for technical details.