Text Difference and Patch API

API ID 13164

Compare two texts by lines, words or characters and get a structured difference plus a unified patch, like version control tools produce. Built for change tracking, reviews and audit logs.

77 ms avg response

API Documentation

Endpoints

Request

Compares text a with text b and returns a structured difference (parts flagged as added or removed, with a summary count) plus a unified patch string. Choose line, word or character granularity with the mode field.

Endpoint ID: 26710
POST https://zylalabs.com/api/13164/text+difference+and+patch+api/26710/compare+two+texts
INPUT PARAMETERS

Compare Two Texts — Endpoint Features

Object Description
Request Body Required Json

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

API EXAMPLE RESPONSE
JSON
{"mode":"words","changes":{"added_blocks":1,"removed_blocks":0,"equal":2},"diff":[{"value":"hello ","added":false,"removed":false},{"value":"brave ","added":true,"removed":false},{"value":"world","added":false,"removed":false}],"unified_patch":"===================================================================\n--- a\n+++ b\n@@ -1,1 +1,1 @@\n-hello world\n\\ No newline at end of file\n+hello brave world\n\\ No newline at end of file\n"}
Compare Two Texts — CODE SNIPPETS

curl --location --request POST 'https://zylalabs.com/api/13164/text+difference+and+patch+api/26710/compare+two+texts' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{"a": "hello world", "b": "hello brave world", "mode": "words"}'

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Text Difference and Patch API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Overview

See exactly what changed between two texts. One call compares them by lines, words or characters and returns both a structured, machine readable difference and a unified patch string, the same format version control tools use.

  • Three granularities: line, word or character mode, chosen per request
  • Structured output: each part flagged as added or removed, with a summary count
  • Unified patch string you can store, display or apply later
  • Texts are compared in memory and never stored

Useful for tracking revisions of contracts, articles and documentation, audit logs that must show exactly what changed, review robots for configuration files, and detecting content changes in monitored pages.

Text Difference and Patch API FAQs

The Compare Two Texts endpoint returns a structured difference between two texts, including parts flagged as added or removed, a summary count of changes, and a unified patch string. This allows users to see exactly what has changed in a clear format.

Key fields in the response include "mode" (indicating the granularity), "changes" (with counts of added and removed blocks), "diff" (showing individual text segments with flags), and "unified_patch" (the formatted patch string).

The response data is organized into a JSON structure. It includes a summary of changes, a detailed list of differences with flags for added or removed text, and a unified patch string formatted for easy application or storage.

Users can specify the "mode" parameter to choose the granularity of comparison: line, word, or character. This allows for tailored comparisons based on the level of detail required.

Typical use cases include tracking revisions in contracts, reviewing changes in articles, maintaining audit logs for documentation, and monitoring content changes on web pages, ensuring precise change tracking.

Users can utilize the returned data by analyzing the "diff" for specific changes, applying the "unified_patch" to update documents, or generating reports based on the summary counts of added and removed text blocks.

Data accuracy is maintained by performing in-memory comparisons without storing the texts, ensuring that only the current state of the texts is analyzed, thus providing reliable and immediate results.

Users can expect a consistent structure in the response, with "added" and "removed" flags clearly indicating changes, and a unified patch that follows a standard format similar to version control systems, making it easy to interpret.

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