Detect and flag near-duplicate text entries in a dataset

Deduplicate text datasets with fuzzy matching, semantic similarity and clustering

Text Deduplicator

Extract high-density text blocks from HTML by calculating text-to-HTML ratio per block element.

Diffs Text Diff data instantly — optimized for agents, LLMs, and MCP workflows.

Show character and line diff between two texts

Compare two texts — similarity %, added/removed words, and line-by-line diff.

Compare two texts with line diff, word diff, character diff, and similarity score.

Compare two texts and highlight word, line, and character-level differences.

Score and analyze text diff with structured JSON output.

Compare two texts with line or word diffs, similarity scores and change summaries — built for code and content agents

Compare two texts, get word diffs, similarity scores and change summaries — built for AI agents

Compute semantic diff between text versions

Extract all email addresses from any text or document

Generate vector embeddings for text using AI models

Search a corpus using dense vector embeddings

Detect emotions (joy, anger, fear, sadness) in text

Encode and decode text — Base64, URL encoding, hex and more. Built for AI developer agents.

Convert text between UTF-8, Base64, Hex, URI encoding and HTML entities. Built for AI agents and developers.

Expand short text or notes into full paragraphs

Text Expander

Extract and normalize date mentions from text

Extract email addresses from text or HTML

Extract named entities like people, places, orgs from text

Extract and normalize phone numbers from text

Extract and validate URLs from text

Extract structured data and named entities from unstructured text

Extract structured data and named entities from unstructured text

Extract structured data and named entities from unstructured text

Score generated text fluency from perplexity and coherence

Score text formality level from casual to formal

Format and transform text with unit conversions, age calculations and content grade analysis. Built for AI agents.

Multi-provider AI text generation with automatic Anthropic and OpenAI fallback

Multi-provider AI text generation with automatic Anthropic and OpenAI fallback

Multi-provider AI text generation with automatic Anthropic and OpenAI fallback

Multi-provider AI text generation with automatic Anthropic and OpenAI fallback

Multi-provider AI text generation with automatic Anthropic and OpenAI fallback

Multi-provider text generation with automatic Anthropic and OpenAI fallback — one API, maximum uptime.

Detect text genre including news opinion and marketing

Generate stable fingerprints for text deduplication and caching

Add or remove indentation from text blocks for code and formatting

Score and analyze text language detect with structured JSON output.

Detect the language of any text with confidence score

Identify language family script and writing direction

Calculate edit distance between two strings for fuzzy matching

Generate character and word n-grams from text for analysis

Normalize text by fixing unicode, expanding contractions, removing noise and standardizing format

Normalize text with 20 pipeline operations — remove accents, expand contractions, stop words — batch 200 texts

Text Padder

Split text into paragraphs and return structured blocks with metadata