DeepSeek-OCR Text Compressor

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Based on DeepSeek-OCR research, this tool implements optical context compression that encodes text into images that can be decoded back to readable text by vision models. Features intelligent text analysis, AI-powered summarization for large content, automatic compression strategies, and OCR-optimized rendering. Achieves 97% accuracy at 10x compression ratios and 60% accuracy at 20x compression.

POST
45 views24 usesv2.0.0
DeepSeek-OCRcompressionOCRtext

Interactive Demo

Input Parameters

Optimization strategy - auto selects based on text size

Any text content to encode into OCR-readable image format

Response

Run the tool to see results here

API Endpoint

POST
https://sparkco.ai/api/tools/context-to-image/try

Rate Limits

Per minute:10 requests
Per hour:100 requests

Use Cases

Compress long AI conversation histories into images
Archive large documents with 10-20x compression ratios
Store agent memory states in OCR-readable format
Create portable context backups for cross-platform sharing

+6 more use cases

Code Examples

Basic Text Compression

Compress text into OCR-readable image using cURL

Request
curl -X POST "https://sparkco.ai/api/tools/context-to-image" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "This is a long conversation history between a user and an AI assistant discussing various topics including machine learning, natural language processing, and computer vision. The conversation spans multiple exchanges and contains detailed technical explanations that need to be compressed for efficient storage.",
    "mode": "auto",
    "options": {
      "compression": "auto",
      "maxLineLength": 80,
      "fontSize": 14,
      "title": "AI Conversation Archive"
    }
  }'
Response
{
  "success": true,
  "downloadUrl": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA...",
  "metadata": {
    "rawSize": 1024,
    "compressedSize": 1024,
    "optimizationLevel": "light",
    "compression": "none",
    "chunks": 12,
    "sha256": "a1b2c3d4e5f6g7h8",
    "dimensions": {"width": 800, "height": 400},
    "lineCount": 12,
    "charactersPerLine": 80
  }
}

Tutorial

DeepSeek-OCR Style Optical Compression

Transform text into OCR-readable images with intelligent compression based on DeepSeek-OCR research:

  1. Text Analysis: Analyzes content size, complexity, and structure
  2. Strategy Selection: Auto-selects optimization level based on text size
  3. AI Summarization: Uses GPT-4o-mini for intelligent compression of large texts
  4. Preprocessing: Optimizes whitespace, formatting, and structure
  5. Compression: Applies GZIP compression for texts >200KB
  6. OCR Rendering: Creates high-contrast monospace images optimized for vision models

Automatic Optimization Levels

  • < 5KB: Minimal processing, detailed formatting (no compression)
  • < 50KB: Light optimization, readable formatting (no compression)
  • < 200KB: Moderate optimization, compact formatting (GZIP compression)
  • > 200KB: Aggressive optimization with AI summarization (GZIP compression)

OCR-Optimized Features

  • Monospace "Courier New" font for consistent character spacing
  • High contrast black text on white background
  • Proper line spacing and padding for vision model processing
  • SHA256 checksums embedded in image header for verification
  • Metadata encoding for compression ratio tracking

Frequently Asked Questions

How does this differ from the previous EPX1 implementation?

This implements DeepSeek-OCR style text compression that creates OCR-readable images, not neural embedding pixels. The images contain actual readable text that vision models can decode back to the original content, achieving 97% accuracy at 10x compression ratios.

What compression ratios can be achieved?

Based on DeepSeek-OCR research: 97% accuracy at 10x compression, ~90% at 10-12x compression, and ~60% at 20x compression. The tool automatically selects the optimal strategy based on your text size and complexity.

How does AI summarization work?

For texts over 50,000 characters, the tool uses GPT-4o-mini to create intelligent summaries that preserve key information and structure. If AI summarization fails, it falls back to rule-based summarization keeping headers and important lines.

Can I decode these images back to text?

Yes! Use DeepSeek-OCR, GPT-4V, or similar vision models to extract the text from the image. The images are specifically optimized for OCR with monospace fonts, high contrast, and proper spacing for maximum readability.

What types of content work best?

All text content works, but the tool is especially effective for: conversation histories, documentation, code snippets, configuration files, research papers, and any structured text that benefits from compression while maintaining readability.

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