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Shubham Saboo Profile picture
@Saboo_Shubham_
May 9, 2024 • 6 tweets • 2 min read • Read on X
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Document OCR in 90+ languages using python (100% free and without internet):
For document OCR, we'll use opensource toolkit Surya.

Python toolkit that does:
• OCR in 90+ languages
• Line-level text detection in any language
• Layout analysis (table, image detection)
• Reading order detection
• Outperforms Tesseract, on par with Google Cloud vision Image
1. Install the Python library

Run the following command from your terminal. You'll need python 3.9+ and PyTorch. Image
2. Try out the OCR (text detection) boilerplate code Image
3. Try out the built-in interactive demo with Streamlit.

Install Streamlit and run the following command in your terminal: 'surya_gui'
🌟 Support the opensource project:

8000+ readers receive my AI newsletter everyday and you are not one of them. Join @_unwind_ai to stay on top of the latest AI developments and tools: github.com/VikParuchuri/s…
unwindai.substack.com
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More from @Saboo_Shubham_

Shubham Saboo Profile picture
Dec 2
Day 2 of Advent of Agents is now live.

Build AI Agents with Gemini 3 in less than 5 mins with YAML without writing a single line of Python code.

Add Google Search, MCP tools, and sub-agents to that.
Tutorial 1: Build an AI Agent with Google Search without writing a single line of Python Code, in simple YAML.

Tutorial 2: Build a Multi-agent app with MCP using Google ADK without writing a single line of Python Code, in simple YAML.

Read 4 tweets
Shubham Saboo Profile picture
Sep 29
Google ADK meets the AG-UI protocol.

You can now easily connect your ADK AI Agents with interactive frontends using AG-UI in minutes.

100% Opensource. Image
You can build generative UI for your agents with ADK as the agent backend and AG-UI as the communication layer between agent and the UI.

Generative UI goes beyond text and let your agent generate and render UI components directly in the chat.
Learn more about connecting beautiful frontends with your ADK AI Agents.

developers.googleblog.com/en/delight-use…
Read 4 tweets
Shubham Saboo Profile picture
Sep 27
Build a Multi-agent app with MCP using Google ADK without writing a single line of Python Code, in simple YAML.

All of this in ~5 mins. Step-by-step tutorial with opensource code:
1. Install the @Google ADK Python Package and @firecrawl_dev for MCP Image
2. Create an Agent Template with this single command by following the terminal prompts and entering your Gemini API Key.

It will create a my_agent/ folder, containing a root_agent.yaml file and an .env file to store the API keys. Image
Read 10 tweets
Shubham Saboo Profile picture
Sep 14
China's Alibaba just dropped a Python framework for building multi-agent apps.

AgentScope lets you build AI agents visually with MCP tools, memory, rag, and reasoning capabilities.

Works with any LLM and supports real-time steering.

100% Opensource. Image
100+ free step-by-step tutorials with code covering:

🚀 AI Agents
📀 RAG Systems
🗣️ Voice AI Agents
🌐 MCP AI Agents
🤝 Multi-agent Teams
🎮 Autonomous Game Playing Agents

P.S: Don't forget to subscribe for FREE to access future tutorials.

theunwindai.com
GitHub Repo: github.com/agentscope-ai/…
Read 4 tweets
Shubham Saboo Profile picture
Sep 12
JSON prompting for LLMs, explained with examples:
What is JSON prompting?

JSON prompting is a way of asking an LLM using a clear, structured format (with keys and values) and expecting the response in the same structured style.

Text prompts → inconsistent, messy outputs
JSON prompt → consistent, parseable data Image
The Problem With Text Prompts

Natural language is strong, but in AI it’s loose.

“Summarize this email” or “give key takeaways” leaves room for guesswork.

You wouldn’t tell a junior: “Make it better. Do what feels right.”

Yet we do that with AI all the time. Image
Read 12 tweets
Shubham Saboo Profile picture
Sep 7
Let's build a local RAG Agent using Google's EmbeddingGemma and Ollama running locally on your machine.

100% Opensource and works without internet.
You can follow along this tutorials with step-by-step code instructions on @unwind_ai_

theunwindai.com/p/build-a-loca…
1. Install the necessary Python Libraries

Run the following command from your terminal.

Then pull the required Ollama models:
• ollama pull embeddinggemma:latest
• ollama pull llama3.2:latest Image
Read 11 tweets

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