Most text analysis solutions fall into one of two problems:

• Too expensive — OpenAI API costs money for every call
• Too complex — Hosting your own Hugging Face model requires infra, GPU, maintenance

I built TextAI Pro — a lightweight REST API that does the job without the overhead.

What it does

Two endpoints:

POST /analyze

• Sentiment: positive / negative / neutral
• Confidence score (0–1)
• Top keywords
• Word count

POST /summarize

• Auto-summary of any text
• Returns original length vs summary length

Quick start

Python

import requests

url = "https://textai-pro.p.rapidapi.com/analyze"
headers = {
    "X-RapidAPI-Key": "YOUR_KEY",
    "Content-Type": "application/json"
}
payload = {"text": "This product is absolutely amazing, I love it!"}

r = requests.post(url, json=payload, headers=headers)
print(r.json())

Response:

{
  "sentiment": "positive",
  "confidence": 0.92,
  "keywords": ["product", "amazing", "love"],
  "word_count": 8
}

JavaScript

const response = await fetch("https://textai-pro.p.rapidapi.com/analyze", {
  method: "POST",
  headers: {
    "X-RapidAPI-Key": "YOUR_KEY",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({ text: "Great customer service, highly recommend!" })
});
const data = await response.json();
console.log(data);

Use cases

• Review monitoring — analyze customer feedback automatically
• Content moderation — flag negative or toxic content
• CRM enrichment — tag support tickets by sentiment before routing
• Chatbot routing — detect frustrated users and escalate
• News monitoring — track sentiment around keywords or brands

Pricing

Try it

TextAI Pro on RapidAPI

Free tier, no credit card required. Sign up to RapidAPI (free) and subscribe to BASIC to start.

Built this for a side project where I needed bulk sentiment analysis on customer reviews. OpenAI was too expensive for 50k+ records per day. This runs on dedicated infra and costs a fraction.

Feedback welcome — especially on what other endpoints would be useful.