How I extract Financial Insights with AI | LangExtract + Google Gemini Tutorial 🚀 (5 Minute Guide)

Hi, I’m Amit Kumar, a Software Architect with nearly 20 years of experience.

In this video, I’ll show you how to use the LangExtract Python library with Google Gemini to extract structured financial insights from plain text. 🚀

We’ll install LangExtract, set up the API key securely, and run a Financial Model script that pulls out:

* 📊 Company names + stock tickers
* 💰 Financial metrics (profit, revenue, etc.)
* 📈 Market sentiment (bullish, bearish, neutral)

### 🔑 What You’ll Learn

* How to install LangExtract using `pip`
* How to set up the `LANGEXTRACT_API_KEY`
* Writing prompts & examples to guide extraction
* Running a Python script to get structured JSON output from financial text
* Using Gemini 2.5 Flash as the LLM backend

### ⚙️ Commands Used in the Video

```bash
pip install langextract
export LANGEXTRACT_API_KEY="your_api_key_here" # macOS/Linux
$env:LANGEXTRACT_API_KEY="your_api_key_here" # Windows PowerShell
python FinancialModel.py
```

### 📂 Example Output

```text
company: BetaCorp | {'stock_ticker': 'BC'}
financial_metric: quarterly revenue of $4B | {'metric_type': 'revenue', 'value': '$4B'}
market_sentiment: bearish outlook | {'sentiment': 'bearish'}
```

👉 With just a few lines of code, you can transform messy financial reports into clean, structured data ready for analysis.

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💡 Don’t forget to **Like 👍, Subscribe 🔔, and Comment 💬** what type of extraction you want me to try next—resumes, contracts, or maybe healthcare data?

#langextract #gemini #geminiai #googlegemini #python #pythonprogramming #aitools #ai #finance

00:00 Introduction
00:28 Install LangExtract
00:48 Setup the API Key
01:32 The Financial Extraction Script
05:00 Running the Script
05:33 Conclusion

Видео How I extract Financial Insights with AI | LangExtract + Google Gemini Tutorial 🚀 (5 Minute Guide) канала Tiny Tech Talks by Amit