TextIQ: OCR & RAG Platform

Transform your documents with advanced OCR processing and intelligent RAG search. Extract text, analyze content, and build searchable knowledge bases with AI-powered insights.

Ready to get started?

Upload your first document and experience the power of TextIQ

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Core Features

OCR Processing

Extract text from images and PDFs using advanced OCR technology

Image to text conversion
PDF text extraction
Multi-language support
Confidence scoring
Real-time processing

RAG Search

Intelligent document search and retrieval with AI understanding

Semantic document search
Context-aware results
Multi-document queries
Knowledge base chat
Source attribution

AI Analysis

Comprehensive text analysis with multiple AI models

Content summarization
Entity extraction
Classification & tagging
Table data conversion
Insight generation

How TextIQ Works

Upload Documents

Upload images, PDFs, or text files to the TextIQ platform

Supported formats: JPG, PNG, PDF, TXT

Maximum file size: 10MB per file

Batch upload capability

Drag-and-drop interface

OCR Processing

Extract text content using Tesseract.js OCR engine

Real-time processing with progress tracking

Confidence scores for extracted text

Text formatting preservation

Error detection and correction

AI Analysis

Analyze extracted text with multiple AI analysis options

Summarization for key insights

Entity extraction (people, places, organizations)

Document classification and tagging

Table data structure conversion

RAG Integration

Add processed documents to your knowledge base for intelligent search

Vector embedding generation

Knowledge base organization

Semantic search capabilities

Chat with your documents

Use Cases & Applications

Document Digitization

Convert physical documents to searchable digital text

Business cards and contact information
Receipts and invoices
Contracts and legal documents
Historical documents and archives

Research & Analysis

Extract insights from large document collections

Academic paper analysis
Market research compilation
Policy document review
Technical manual processing

Knowledge Management

Build searchable knowledge bases from your documents

Company knowledge bases
Product documentation
Training material libraries
Customer support databases

Intelligent Chat

Chat with your documents using AI-powered conversations

Ask questions about document content
Get summaries of specific topics
Find connections across documents
Extract specific data points

Technical Specifications

OCR Engine

Engine: Tesseract.js 5.0+
Languages: 100+ languages supported
Accuracy: 95%+ for high-quality documents
Processing: Client-side for privacy

RAG System

Embeddings: OpenAI text-embedding-ada-002
Vector Store: Supabase pgvector
Search: Semantic similarity matching
Response: GPT-4 powered answers

Best Practices

OCR Optimization

Use high-resolution images (300 DPI or higher)
Ensure good contrast between text and background
Avoid skewed or rotated documents when possible
Clean and clear text produces better results

RAG Effectiveness

Use descriptive document titles and metadata
Organize documents by topic or category
Ask specific questions for better search results
Combine multiple search terms for precision

AI Analysis

Choose appropriate analysis types for your content
Review confidence scores for accuracy assessment
Use entity extraction for structured data needs
Combine analysis results for comprehensive insights

Ready to Start?

Quick Start Guide

1Navigate to the TextIQ platform
2Upload your first document or image
3Choose OCR processing or RAG search
4Analyze results and explore AI insights

Additional Resources

TextIQ Platform

Start processing documents now

All AI Tools

Explore other AI tools

Troubleshooting

Common issues and solutions