Gibberish Detector API

POST

Filter out keyboard mashing and bot nonsense at submission.

Gibberish Detector analyzes text using bigram frequency and vowel ratios to identify nonsensical or randomly generated content.

Try it — live request, no key required

Request
POSTapi.apiverve.com/v1/gibberishdetector
Body
Verification
Format

No key required to try it. Get a key to use it in your app.

Example
{
  "status": "ok",
  "error": null,
  "data": {
    "isGibberish": false,
    "score": 0.12,
    "confidence": 88,
    "confidenceLevel": "high",
    "text": "The quick brown fox jumps over the lazy dog",
    "textLength": 43,
    "wordCount": 9
  }
}

About the Gibberish Detector API

Useful for spam filtering, content moderation, form validation, and detecting bot-generated or corrupted text submissions.

What people use it for

Spam Detection
Filter spam and bot-generated content from user submissions
Form Validation
Validate text input fields to reject nonsensical entries
Content Moderation
Detect and flag gibberish content in user-generated platforms
Quality Control
Ensure text quality in data processing and content creation workflows

Ways to call it

One endpoint, many ways in — REST with JSON, XML, YAML and CSV, plus GraphQL and an MCP interface for AI agents.

JSON
Default REST response
XML
Markup format
YAML
Human-readable
CSV
Tabular export
Beta
GraphQL
Query language
New
MCP
For AI agents

Other ways to use Gibberish Detector

Same data, same APIVerve account, same credit balance — one key works on all of them.

Questions.

Common questions about the Gibberish Detector API.

Read the docs
Does the response return a simple pass/fail or a granular score?
It provides both. You receive a boolean flag indicating whether the text is gibberish along with a continuous score from 0 to 1. The response also includes a confidence percentage from 0 to 100 and a high, medium, or low confidence rating.
How does the detector determine if text is nonsensical?
Gibberish Detector analyzes the text using bigram frequency and vowel ratios. This identifies random keystrokes, unnatural character pairings, and irregular letter sequences that deviate from standard language patterns.
What is the maximum length of text allowed per request?
Each check accepts text up to 10,000 characters. If you need to evaluate longer content, split the text into smaller segments before sending your request.
What types of corrupted text can it identify?
The API detects random keyboard mashing, bot-generated strings, and corrupted character submissions. It also returns the analyzed text, character count, and word count with every response.
Which plan fits 50,000 text checks a month?
The Starter plan easily covers this volume. At 2 credits per check, 50,000 calls use 100,000 credits, which is half of Starter's monthly allowance. Usage on that plan works out to about $0.30 per 1,000 calls, and the Free plan provides 100 calls per month for testing.

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