Guide to High-Performance VLM-OCR Recipes: Unlock DeepSeek-OCR

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At Regolo, we’re passionate about making cutting-edge AI accessible, compliant, and sustainable. That’s why we’re excited to bring you this updated guide inspired by the latest advancements in Vision-Language Models (VLMs) for Optical Character Recognition (OCR). While open-source VLMs like DeepSeek-OCR are revolutionizing document processing, running them yourself on GPU infrastructure can be complex and costly.

You can use DeepSeek-OCR completely free through our intuitive API—no servers, no GPU management, and full GDPR compliance from our European data centers. Enjoy high-accuracy OCR with zero upfront costs during our 30-day full-access trial (no credit card required).

Let’s dive into the practical recipes, then see why Regolo.ai is the smartest way to go.

Why Choose Regolo.ai for DeepSeek-OCR?

• Free Access: Start processing documents today at no cost.
• No Infrastructure Hassle: Serverless GPU inference means you focus on results, not ops.
• European Privacy & Sustainability: Data stays in Italy, zero retention policy, and renewable energy-powered.
• Scalable & Fast: Optimized for batch OCR with low latency.

DeepSeek-OCR: The Best-in-Class Model

DeepSeek-OCR (from deepseek-ai) is a powerhouse for complex documents—handling degraded scans, tables, multi-column layouts, and multilingual text with native high-resolution vision and efficient token compression.

Key features:

• Vision Transformer (ViT) for original-resolution processing.
• Optical token compressor for massive efficiency.
• Mixture-of-Experts (MoE) decoder for accurate, structured outputs (Markdown, JSON)

The Modular Batch OCR Pipeline

We recommend a three-stage pipeline (Extract → Describe → Assemble) for maximum flexibility and accuracy. You can implement it easily with Regolo.ai’s API calls.

Stage 1: Extract

Convert PDF pages to structured Markdown, detect figures, and crop images. Regolo.ai API: Send images/PDFs in batches—get text + layout + cropped figures back.

Stage 2: Describe

Generate captions, parse tables/charts into JSON, or classify visuals. Regolo.ai API: Process figures one-by-one or in parallel—ideal for figure-heavy docs.

Stage 3: Assemble

Merge everything into a final enriched Markdown document. Regolo.ai API: No extra inference needed—just combine outputs.

Getting Started on Regolo.ai

1. Sign up at regolo.ai for your UNLIMITED FREE 30-day trial.
2. Get your API key from the dashboard.
3. Use our simple API endpoint to send PDFs/images:

import requests

url = "https://api.regolo.ai/v1/chat/completions"  # or vision endpoint
headers = {"Authorization": "Bearer YOUR_API_KEY"}
payload = {
    "model": "deepseek-ocr",
    "messages": [{"role": "user", "content": "Extract text and layout from this document.", "image_url": "your_pdf_or_image_url"}]
}
response = requests.post(url, json=payload, headers=headers)Code language: Python (python)

4. Scale up with batch processing and our observability dashboard.

👉 Use now DeepSeek OCR for your project for free

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Resources & Community

Official Documentation:

• Regolo Python Client – Package reference
• Regolo Models Library – Available models
• Regolo API Docs – API reference

Related Guides:

• Rerank Models have landed on Regolo 🚀
• Supercharging Retrieval with Qwen and LlamaIndex
• Chat with ALL your Documents with Regolo + Elysia

Join the Community:

• Regolo Discord – Share your RAG builds
• GitHub Repo – Contribute examples
• Follow Us on X @regolo_ai – Show your RAG pipelines!
• Open discussion on our Subreddit Community

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