Automated Spelling & Punctuation
Instantly detects and fixes typos, spelling mistakes, missing commas, and run-on sentences.
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Automated spelling, punctuation, and grammar correction API with tone adjustment and error explanations.
https://test.rsflowhub.com/api/v1/ai/grammar-fix
AI Grammar Fix & Sentence Enhancer API is a ready-to-use REST API on RSFlowHub for developers building web, mobile and AI agent applications. Send a JSON request to POST /api/v1/ai/grammar-fix with your API key; RSFlowHub runs it on a tuned AI model (with automatic fallback to a backup provider) and returns a structured JSON result, usually within 1 to 3 seconds.
X-API-Key Header
curl -X POST "https://test.rsflowhub.com/api/v1/ai/grammar-fix" \
-H "Content-Type: application/json" \
-H "X-API-Key: rfh_your_api_key" \
-d '{"text":"I went to the store yesterday bcuz I need milk.","tone":"professional","dialect":"US","return_explanations":true}'
<?php
$client = new \GuzzleHttp\Client();
$response = $client->post('https://test.rsflowhub.com/api/v1/ai/grammar-fix', [
'headers' => [
'Content-Type' => 'application/json',
'X-API-Key' => 'rfh_your_api_key',
],
'json' => array (
'text' => 'I went to the store yesterday bcuz I need milk.',
'tone' => 'professional',
'dialect' => 'US',
'return_explanations' => true,
),
]);
echo $response->getBody();
const response = await fetch('https://test.rsflowhub.com/api/v1/ai/grammar-fix', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': 'rfh_your_api_key'
},
body: JSON.stringify({"text":"I went to the store yesterday bcuz I need milk.","tone":"professional","dialect":"US","return_explanations":true})
});
const data = await response.json();
console.log(data);
import requests
url = "https://test.rsflowhub.com/api/v1/ai/grammar-fix"
headers = {
"Content-Type": "application/json",
"X-API-Key": "rfh_your_api_key"
}
payload = {"text":"I went to the store yesterday bcuz I need milk.","tone":"professional","dialect":"US","return_explanations":true}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
Instantly detects and fixes typos, spelling mistakes, missing commas, and run-on sentences.
Adjust writing tone between professional, casual, academic, or technical while switching dialects (US/UK/AU).
Optionally returns detailed breakdown array of detected mistakes, grammar rules, and applied corrections.
Safely preserves HTML tags, markdown elements, and inline code snippets without corrupting markup.
See how developers integrate this API endpoint into production apps.
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Provide real-time feedback and grammar score insights for student essay writing tools.
Comparing RSFlowHub's specialized API gateway vs raw multi-turn LLM prompts vs legacy regex rules.
| Evaluation Metric | RSFlowHub API | Raw LLM Prompts | Legacy Regex / Rules |
|---|---|---|---|
| Response Structure | Validated JSON envelope | Unstructured markdown or chat format | Brittle custom regex tuples |
| Setup Effort | One POST request, no prompts | Write and maintain prompts + output parsing | Fast, but rule lists miss context and sarcasm |
| Pricing Model | Flat 1 credit/request | Volatile token-based billing | High server maintenance overhead |
| Multi-Turn Hallucination | Zero (Deterministic validators) | Output format can drift between model versions | No semantic AI intelligence |
| Developer Integration | 3 lines cURL, PHP, JS, Python | Complex prompt engineering & retry loop | Fragile manual rule maintenance |
text
string
The raw text payload containing spelling or grammar mistakes.
tone
string
Desired writing tone (e.g. "professional", "casual", "academic", "friendly").
dialect
string
Target language dialect (e.g. "US", "UK", "AU").
return_explanations
boolean
Return detailed list of detected errors and explanations (Default: false).
Every endpoint returns the same envelope: success, request_id, data.result and meta.
{
"success": true,
"request_id": "req_3f9a2c7e-5b1d-4e8a-9c2f-7d6e1a0b4c8d",
"data": {
"result": {
"corrected_text": "We have received your request and will reply within two business days.",
"changes_made": true,
"explanations": [
{
"original": "We has received",
"corrected": "We have received",
"reason": "Subject-verb agreement"
},
{
"original": "two buisness days",
"corrected": "two business days",
"reason": "Spelling"
}
]
}
},
"meta": {
"version": "v1",
"timestamp": "2026-10-05T09:30:00Z"
}
}
Everything you need to know about integrating and using AI Grammar Fix & Sentence Enhancer API.
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